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pages: 337 words: 89,075

Understanding Asset Allocation: An Intuitive Approach to Maximizing Your Portfolio by Victor A. Canto

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accounting loophole / creative accounting, airline deregulation, Andrei Shleifer, asset allocation, Bretton Woods, buy low sell high, capital asset pricing model, commodity trading advisor, corporate governance, discounted cash flows, diversification, diversified portfolio, fixed income, frictionless, high net worth, index fund, inflation targeting, invisible hand, law of one price, liquidity trap, London Interbank Offered Rate, Long Term Capital Management, market bubble, merger arbitrage, new economy, passive investing, price mechanism, purchasing power parity, risk tolerance, risk-adjusted returns, risk/return, Ronald Reagan, shareholder value, Sharpe ratio, short selling, statistical arbitrage, the market place, transaction costs, Y2K, yield curve

All an investor has to do is choose the fund, or combination of funds, matching the point in time for which he is saving. Each fund is managed to give an investor a broad and diversified asset allocation. Following is an array of five different lifecycle options: a capital preservation fund invested solely in fixed-income instruments, a 2010 fund (40/60 equities to fixed income), a 2020 fund (60/40 equities to fixed income), a 2030 fund (70/30 equities to fixed income), and a 2040 fund (85/15 equities to fixed income). The asset allocations in these funds automatically adjust over time so portfolios remain appropriate for investment horizons. Figure 8.2 shows a graphical representation of the lifecycle allocation. 152 UNDERSTANDING ASSET ALLOCATION Chapter 8 The Cyclical Asset Allocation Strategy’s Versatility International 2040 2030 2020 2010 Capital Preservation International 20% 17% 14% 10% 8% 6% 20% 20.4% 13.6% 16.8% 14.4% 13.2% 9.6% 13.6% 7.2% 14.4% Value Value Equities Large 85% 60% 50% Growth Growth 50% 20.4% 9.4% 16.8% 1.6% 13.2% 9.4% 9.6% 1.6% 7.2% Mid 20% 50% 6.8% 5.6% 3.6% 0.0% 4.4% 3.6% 3.2% 0.0% 2.4% 6.8% 5.6% 8.4% 4.4% 0.0% 8.4% 3.2% 0.0% 2.4% Value Small World 100% 20% 50% Fixed Income 15% 6.8% 5.6% 3.6% 0.0% 4.4% 3.6% 3.2% 2.4% 0.0% 6.8% 8.4% 5.6% 0.0% 4.4% 8.4% 3.2% 0.0% 2.4% 5% 5% 5% 5% 7% 0.0% U.S. 80% 10% 25% 40% 55% 63% 10% T-Bonds Figure 8.2 Small World 0.0% 100% 0.0% T-Bills T-Bonds 67% Mid 0.0% 0.0% Growth T-Bills 33% 0.0% Value Growth 50% 20% 100% 10% Growth Growth 50% Equities Large Value Value U.S. 80% 90% 90% Strategic allocation—lifecycle rebalancing.

(In principle, the allocation to international stocks could be further subdivided by country, size, and style, but we ignore this subdivision for the time being.) Conventional wisdom and approximate market values suggest 10 percent is a good proxy for the short-term fixed-income share of the total fixed-income market value. Given our portfolio’s 40 percent allocation to fixed income, it follows we allocate 4 percent to short-term instruments and 36 percent to longer-maturity instruments. (We could further disaggregate the longer-term fixed-income instruments into a global allocation, but for this exercise, we stay domestic.) Figure 6.3 illustrates the SAA produced by my interpretation of the various asset classes’ market weights.

Chapter 15 Putting It All Together: Value Timing 267 Asia Benchmark Weight Region 30% 9% International Europe 50% 30% 15% Emerging Markets 6% 20% Asset Type Style Equities 60% Size Value Large 50% 70% Growth 50% 10.5% 10.5% Value Domestic Middle 50% 50% 20% Growth World 50% 3% 3% Value 100% Small 50% 10% 1.5% Growth Curve 50% 1.5% T-Bills Domestic 20% 50% 80% 40% Fixed Income 4% T-Bonds 16% Asia 30% International 6% Europe 50% 50% 10% Emerging Markets 20% Figure 15.1 4% Strategic asset allocation. The fixed-income allocation of our global portfolio is 40 percent of total assets. Different indices can give a slightly different allocation to the different countries, but (on average) most major global indices would put the U.S. fixed-income share around 50 percent. This means 20 percent of the overall portfolio is allocated to U.S. fixed-income instruments. Within the U.S., a 20/80 split between short- and long-term bonds seems reasonable.

 

All About Asset Allocation, Second Edition by Richard Ferri

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asset allocation, asset-backed security, barriers to entry, Bernie Madoff, capital controls, commodity trading advisor, correlation coefficient, Daniel Kahneman / Amos Tversky, diversification, diversified portfolio, equity premium, estate planning, financial independence, fixed income, full employment, high net worth, Home mortgage interest deduction, implied volatility, index fund, Long Term Capital Management, Mason jar, mortgage tax deduction, passive income, pattern recognition, random walk, Richard Thaler, risk tolerance, risk-adjusted returns, risk/return, Robert Shiller, Robert Shiller, Sharpe ratio, too big to fail, transaction costs, Vanguard fund, yield curve

VWEHX Actively managed B–BB grade IGOV Japan is 25% of the fund EMB BB rated bonds VWITX VMLTX Actively managed, 6–12 years Actively managed, 2–6 years Fixed-Income Investments 169 CHAPTER SUMMARY A well-diversified portfolio contains both fixed-income and equity investments. To obtain maximum benefit, the fixed-income portion of the portfolio should also be broadly diversified into several different fixed-income categories and rebalanced annually. Asset allocation of fixed-income investments leads to higher overall returns with little increase in portfolio risk. There is no lack of diversification potential in the bond market. Fixed-income asset subclasses include government bonds, corporate bonds, home mortgage pools, asset-backed bonds such as those backed by credit card receivables, and foreign developed and emerging markets.

I believe it will, since investors should be rewarded for taking the added risks of high yield and disinflation. Accordingly, investors who take the time to learn about fixedincome asset allocation will be happy that they did. Fixed-Income Investments 167 T A B L E 8-4 Fixed-Income Allocation Using Taxable Bonds Fixed-Income Allocation Fixed-Income Category 60% 20% 20% Barclays Capital Aggregate Bond Index Treasury Inflation-Protected Bonds or iBonds High-Yield Corporate Bonds FIGURE 8-11 Cumulative Returns of a Diversified Fixed-Income Portfolio and the Aggregate Index $250 60% Barclays Capital Aggregate Bond, 20% TIPS, and 20% high yield $225 $210.44 100% Barclays Capital Aggregate Bond $200 $199.16 $175 $150 $125 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 $75 1998 $100 Please keep in mind that the portfolio in Table 8-4 is an example.

Here is a summary of the asset classes, categories, and styles that are covered: Chapter 6: U.S. Equity Investments Total U.S. stock market construction Size analysis (large and small) Style analysis (growth and value) Chapter 7: International Equity Investments Developed markets Emerging markets Size and style indexes Chapter 8: Fixed-Income Investments U.S. investment-grade fixed income U.S. non-investment-grade fixed income International fixed income Chapter 9: Real Estate Investments Home ownership as an investment Rental property as an investment Real estate investment trusts (REITs) Chapter 10: Alternative Investments Collectibles as investments Commodities and commodity exchange-traded funds (ETFs) Hedge funds, venture capital funds, and ETFs that follow these strategies 100 CHAPTER 5 A list of potential mutual funds and ETFs is provided at the end of each chapter.

 

pages: 317 words: 106,130

The New Science of Asset Allocation: Risk Management in a Multi-Asset World by Thomas Schneeweis, Garry B. Crowder, Hossein Kazemi

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asset allocation, backtesting, Bernie Madoff, Black Swan, capital asset pricing model, collateralized debt obligation, commodity trading advisor, correlation coefficient, Credit Default Swap, credit default swaps / collateralized debt obligations, diversification, diversified portfolio, fixed income, high net worth, implied volatility, index fund, interest rate swap, invisible hand, market microstructure, merger arbitrage, moral hazard, passive investing, Richard Feynman, Richard Feynman, Richard Feynman: Challenger O-ring, risk tolerance, risk-adjusted returns, risk/return, Sharpe ratio, short selling, statistical model, systematic trading, technology bubble, the market place, Thomas Kuhn: the structure of scientific revolutions, transaction costs, value at risk, yield curve

Exhibit 4.13 indicates that when returns are ranked on the S&P 500, (1) equity sensitive investments (stock and private equity) perform poorly in the worst 72 months of the S&P 500; (2) high-yield corporate bonds, hedge funds, and real estate also reported moderate negative returns in the worst 72 months of the S&P 500; and (3) commodities, non-credit sensitive fixed income, and CTAs had small negative to positive returns. Results reversed in the best 72 S&P 500 months; that is, equity sensitive assets performed well while less equity sensitive assets had less positive returns. In contrast, results in Exhibit 4.14, when returns are ranked on the BarCap U.S. Aggregate Bond Index, fixed income based securities did poorly in down fixed income markets while most equity based investments as well as modern alternatives reported positive returns. Portfolio returns reflect these individual investment results.

For small cap funds the difference is 4.1%. Similar results are obtained for fixed income funds and international equity funds. These results indicate that it does not pay to waste time, money, and effort on finding alpha or top managers in the area of traditional equity and fixed income investments. Not only do most managers fail to beat their benchmarks, even when an investor gets lucky and finds a “good” manager, he fails to outperform other managers by a significant amount. While the return differential between top and bottom quartile equity and fixed income managers is relatively small, the same cannot be said for alternative investment managers.

Exhibit 8.11 emphasizes the relationships between noninvestable CISDM hedge fund indices and the investable Hedge Fund Research (HFRX) 186 EXHIBIT 8.10 THE NEW SCIENCE OF ASSET ALLOCATION Performance of Alternative Hedge Fund Indices (2001–2008) Barclays Hedge Fund Index CISDM Equal Weighted Hedge Fund Index CSFB/Tremont Hedge Fund Index HFRI Fund Weighted Composite Index Barclays Equity Market Neutral CISDM Equity Market Neutral CSFB/Tremont Equity Market Neutral HFRI Equity Market Neutral Barclays Fixed Income Arbitrage CISDM Fixed Income Arbitrage CSFB/Tremont Fixed Income Arbitrage Barclays Hedge Convertible Arbitrage CISDM Convertible Arbitrage CSFB/Tremont Convertible Arbitrage HFRI Convertible Arbitrage Barclays Event Driven CISDM Event Driven Multi-Strategy CSFB/Tremont Event Driven HFRI Event Driven Barclays Merger Arbitrage CISDM Merger Arbitrage CSFB/Tremont Risk Arbitrage HFRI Merger Arbitrage Barclays Distressed Securities CISDM Distressed Securities CSFB/Tremont Distressed HFRI Distressed Securities Barclays Equity Long Short CISDM Equity Long/Short CSFB/Tremont Long/Short Equity HFRI Equity Hedge Barclays Global Macro CISDM Global Macro CSFB/Tremont Global Macro HFRI Macro Barclays Emerging Markets CISDM Emerging Markets CSFB/Tremont Emerging Markets Annualized Return Standard Deviation 5.1% 5.6% 5.4% 5.0% 4.1% 5.6% 0.4% 3.3% 1.3% 3.6% 0.8% 1.7% 3.3% 1.2% 0.7% 6.6% 5.6% 7.6% 6.0% 5.7% 4.8% 4.1% 4.3% 6.6% 7.6% 8.5% 7.7% 4.8% 4.4% 4.5% 2.8% 7.7% 6.4% 11.6% 8.8% 9.7% 7.9% 8.7% 6.6% 6.6% 5.6% 6.4% 3.1% 2.0% 14.7% 2.9% 6.4% 4.8% 7.1% 7.5% 6.2% 7.9% 8.2% 6.3% 6.3% 5.6% 7.1% 3.8% 3.4% 3.9% 3.7% 7.3% 6.0% 6.1% 6.6% 5.4% 6.0% 7.2% 8.2% 5.2% 3.3% 5.5% 5.1% 12.6% 10.5% 10.3% Return and Risk Differences among Similar Asset Class Benchmarks 187 Correlation Information Ratio Maximum Drawdown 0.78 0.84 0.97 0.78 1.34 2.84 0.03 1.16 0.20 0.74 0.11 0.23 0.53 0.15 0.08 1.05 0.90 1.36 0.85 1.50 1.43 1.04 1.16 0.91 1.26 1.40 1.18 0.89 0.73 0.62 0.34 1.47 1.93 2.10 1.71 0.77 0.75 0.84 −23.1% −21.1% −19.7% −20.5% −6.1% −2.8% −42.7% −8.3% −28.6% −19.3% −29.0% −31.5% −22.5% −32.9% −35.3% −19.6% −20.2% −18.9% −23.9% −7.2% −5.7% −8.2% −8.1% −34.3% −21.2% −21.5% −26.9% −14.0% −17.0% −21.6% −28.5% −6.4% −2.6% −14.9% −4.9% −40.1% −35.3% −30.9% S&P 500 BarCap US Aggregate CISDM HF Strategy Index 0.78 0.79 0.62 0.80 −0.13 0.44 0.21 0.02 0.50 0.56 0.44 0.48 0.46 0.45 0.49 0.72 0.76 0.62 0.77 0.62 0.66 0.56 0.66 0.58 0.65 0.58 0.58 0.77 0.77 0.68 0.81 0.30 0.30 0.21 0.13 0.75 0.69 0.69 0.01 0.00 0.05 −0.03 −0.03 0.00 −0.22 −0.07 0.11 0.11 0.19 0.25 0.32 0.21 0.26 −0.08 0.00 −0.04 −0.04 0.06 0.05 0.14 0.06 −0.02 0.10 −0.07 −0.01 −0.11 −0.10 0.04 −0.07 0.12 0.11 0.30 0.12 0.05 0.09 0.10 0.99 1.00 0.91 0.99 0.57 1.00 0.07 0.59 0.85 1.00 0.89 0.97 1.00 0.93 0.97 0.94 1.00 0.92 0.96 0.86 1.00 0.67 0.90 0.87 1.00 0.83 0.91 0.98 1.00 0.91 0.96 0.81 1.00 0.45 0.76 0.98 1.00 0.95 188 CISDM Equal Weighted Hedge Fund Index HFRX Equal Weighted Strategies Index CISDM Equity Market Neutral HFRX Equity Market Neutral CISDM Convertible Arbitrage HFRX Convertible Arbitrage CISDM Distressed Securities HFRX Distressed Securities CISDM Event Driven Multi-Strategy HFRX Event Driven CISDM Merger Arbitrage HFRX Merger Arbitrage CISDM Equity Long/Short HFRX Equity Hedge 7.2% 6.6% 2.2% 3.4% 7.4% 18.2% 6.8% 8.2% 6.9% 7.3% 3.8% 3.8% 6.3% 8.6% −1.7% .3% 1.4% −0.9% −15.7% 4.2% −2.7% 3.3% −0.2% 5.4% 5.1% 4.1% −2.2% Standard Deviation 3.8% Annualized Return 0.48 (0.03) 1.43 1.35 0.65 (0.26) 0.62 (0.33) (0.86) (0.12) 0.42 2.45 (0.25) 0.53 Information Ratio 0.29 −6.0% 0.88 1.00 0.80 1.00 0.96 1.00 0.83 1.00 0.91 −60.4% −21.2% −31.8% −20.2% −25.8% −5.7% −3.4% −17.0% −28.5% 1.00 1.00 −2.8% −22.5% 0.93 1.00 CISDM Strategy Index −23.6% −21.1% Maximum Drawdown Comparison on Noninvestable and Investable Indices (2004−2008) Performance and Correlations 2004–2008 EXHIBIT 8.11 0.87 0.86 0.77 0.55 0.77 0.83 0.82 0.61 0.75 0.69 0.05 0.49 0.80 0.82 S&P 500 0.05 0.04 0.10 0.28 0.03 0.06 0.11 −0.11 0.19 0.37 −0.24 0.06 0.12 0.12 BarCap US Aggregate Correlation 0.76 0.71 0.63 0.47 0.60 0.70 0.81 0.54 0.80 0.80 −0.11 0.37 0.75 0.74 BarCap US Corporate High-Yield Return and Risk Differences among Similar Asset Class Benchmarks 189 indices over the period 2004 to 2008.1 The HFRX indices are based on a set of managers that provide daily transparency and follow a set of selection rules (e.g., size, years since inception) that are typically demanded by large institutional investors.

 

pages: 224 words: 13,238

Electronic and Algorithmic Trading Technology: The Complete Guide by Kendall Kim

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algorithmic trading, automated trading system, backtesting, corporate governance, Credit Default Swap, diversification, en.wikipedia.org, family office, financial innovation, fixed income, index arbitrage, index fund, interest rate swap, linked data, market fragmentation, natural language processing, quantitative trading / quantitative finance, random walk, risk tolerance, risk-adjusted returns, short selling, statistical arbitrage, Steven Levy, transaction costs, yield curve

News-reading technologies should have reached the market by the end of 2006. 6.7 Black Box Trading for Fixed-Income Instruments The feasibility of utilizing an algorithm for fixed-income instruments seems theoretical for the time being. Most electronic trades are executed via a request for quote (RFQ) venue where customers or other dealers retain the ability to refuse a trade request. Fixed-income instruments are also primarily a dealer market. Most algorithms rely on a constant stream of market data, which is not currently available for fixed income markets. Few transactions are posted through a black box because there are few bond trading platforms that provide the necessary liquidity.

The equities markets will execute trades using some sort of algorithmic model, but the same will most likely be true for other products such as futures, options, and foreign exchange. Fixed income will be one of the last to move along because it is predominantly a dealer market, but when it does, the first asset class will most likely be the most liquid sectors such as the U.S. Treasury market. The later arrival of electronic trading in fixed-income markets compared to equities reflects distinct differences between the two. Fixed-income products are far less homogenous, with many more separate and individually less liquid issues than equities. This makes it technically difficult and more expensive to introduce automated systems. There are millions of Fixed-income instruments on issue in the United States alone (see Exhibit 11.1) with different coupon rates, maturities, with varying frequency of interest payments, etc., compared to a few thousand listed shares.

Currently, the focus on client-to-dealer market trading has turned to credit markets as Thomson’s TradeWeb forces its way into corporate bond markets to compete directly with MarketAxess. TradeWeb is the current market leader in liquid fixed-income products such as treasuries, but MarketAxess is the dominant player in illiquid markets. Fixed-income platforms are also moving into derivatives with most of the attention focused on interest rate swaps and credit derivatives (see Exhibit 11.7). Other trading venues such as algorithmic trading are still immature in market penetration for fixed-income instruments, with a growing number of firms looking to gain access to historical transaction data for analysis. Liquid fixed-income markets should benefit greatly from this opportunity.

 

pages: 504 words: 139,137

Efficiently Inefficient: How Smart Money Invests and Market Prices Are Determined by Lasse Heje Pedersen

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algorithmic trading, Andrei Shleifer, asset allocation, backtesting, bank run, banking crisis, barriers to entry, Black-Scholes formula, Brownian motion, buy low sell high, capital asset pricing model, commodity trading advisor, conceptual framework, corporate governance, credit crunch, Credit Default Swap, currency peg, David Ricardo: comparative advantage, declining real wages, discounted cash flows, diversification, diversified portfolio, Emanuel Derman, equity premium, Eugene Fama: efficient market hypothesis, fixed income, Flash crash, floating exchange rates, frictionless, frictionless market, Gordon Gekko, implied volatility, index arbitrage, index fund, interest rate swap, late capitalism, law of one price, Long Term Capital Management, margin call, market clearing, market design, market friction, merger arbitrage, mortgage debt, New Journalism, paper trading, passive investing, price discovery process, price stability, purchasing power parity, quantitative easing, quantitative trading / quantitative finance, random walk, Renaissance Technologies, Richard Thaler, risk-adjusted returns, risk/return, Robert Shiller, Robert Shiller, shareholder value, Sharpe ratio, short selling, sovereign wealth fund, statistical arbitrage, statistical model, systematic trading, technology bubble, time value of money, total factor productivity, transaction costs, value at risk, Vanguard fund, yield curve, zero-coupon bond

(The Nobel Prize is not given posthumously, and Black passed away in 1995.) 5 Bollen and Whaley (2004) find evidence that option demand moves option prices and Gârleanu, Pedersen, and Poteshman (2009) present a model of demand-based option pricing with consistent evidence. CHAPTER 14 Fixed-Income Arbitrage Trading on fixed-income arbitrage is like picking up nickels in front of a steamroller. —Saying among traders The global fixed-income markets are vast in terms of the value of outstanding bonds, the turnover of these bonds, and the size of the related derivatives markets. The most important fixed-income market is the government bond market, followed by the markets for corporate bonds and mortgage bonds. The key derivatives markets include bond futures, interest-rate swaps, credit default swaps, options, and swaptions, which give the option to enter into an interest-rate swap.

Almost all bond prices depend heavily on the risk-free interest rate, so there is significant co-movement among bond yields and bond returns. Therefore, fixed-income arbitrage traders often trade on the relative value among fixed-income securities to exploit price differences among closely related securities. The close connection between the securities means that a lot of the risk is hedged away by going long and short. However, the limited risk and the competition among fixed-income arbitrageurs imply that the relative price discrepancies between bonds are usually small in an efficiently inefficient market. Hence, to achieve high returns, fixed-income arbitrage traders often need to use a significant amount of leverage.

When managed futures investors lose money, it is often because the trend is switching direction and, in this case, they flip their position and get ready to ride the new trend. Arbitrage Strategies Turning to arbitrage strategies, these consist of fixed-income arbitrage, convertible bond arbitrage, and event-driven investment. Fixed-income arbitrage is based on a number of so-called convergence trades. In a convergence trade, you look for similar securities with different prices; then you buy low, sell high, and hope for convergence. Since fixed-income securities usually have a finite maturity, convergence must eventually happen, but the sooner it happens, the more profitable the trade. The biggest risk in convergence trades is that the trader is forced to unwind the trade when the price gap widens and the trade loses money.

 

pages: 289 words: 113,211

A Demon of Our Own Design: Markets, Hedge Funds, and the Perils of Financial Innovation by Richard Bookstaber

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affirmative action, Albert Einstein, asset allocation, backtesting, Black Swan, Black-Scholes formula, Bonfire of the Vanities, butterfly effect, commodity trading advisor, computer age, disintermediation, diversification, double entry bookkeeping, Edward Lorenz: Chaos theory, family office, financial innovation, fixed income, frictionless, frictionless market, George Akerlof, implied volatility, index arbitrage, Jeff Bezos, London Interbank Offered Rate, Long Term Capital Management, loose coupling, margin call, market bubble, market design, merger arbitrage, Mexican peso crisis / tequila crisis, moral hazard, new economy, Nick Leeson, oil shock, quantitative trading / quantitative finance, random walk, Renaissance Technologies, risk tolerance, risk/return, Robert Shiller, Robert Shiller, rolodex, Saturday Night Live, shareholder value, short selling, Silicon Valley, statistical arbitrage, The Market for Lemons, time value of money, too big to fail, transaction costs, tulip mania, uranium enrichment, yield curve, zero-coupon bond

It would seem there is a demon unleashed, haunting the market and casting our efforts awry: a demon of our own design. 6 ccc_demon_007-032_ch02.qxd 2/13/07 1:44 PM Page 7 CHAPTER 2 THE DEMONS OF ’87 W hen I got there in the summer of 1984, Morgan Stanley was still the exclusive partnership it had been since its inception in 1935. The firm’s investment bankers lorded over that sexy part of the business, but I was headed for the fixed income division—bonds. You couldn’t get less glamorous than fixed income—unless, of course, you worked in fixed income research (FIR), which is exactly where I would spend my first years on Wall Street. Bob Platt wanted to change all that. A former midlevel insurance executive, he had been snatched from obscurity to run Morgan Stanley’s fixed income research division. Obscurity in this case was the giant institutional machine called the Equitable Life Insurance Company, headquartered at 52nd Street and Seventh Avenue, not far from Morgan Stanley’s offices at 50th Street and Sixth.

Marty Leibowitz at Salomon had built a strong team that was at the top of the heap for fixed income portfolio strategy and yield-curve trading. This group would provide the raw material for Salomon’s gold rush into proprietary fixed income trading a few years later. At Morgan Stanley, Platt wanted to use fixed income research to scale another mountain. An opera aficionado who fancied himself a Brahmin intellectual, he was uncomfortable in the ranks of the meat-and-potatoes bonds crowd. His vision for fixed income research was to slide it away from backwater trader support and propel it into an investment banking role, where the prestige was.

THE PROBLEM WITH STOCKS Profitability in equity trading requires a more complex business structure than is required for fixed income. In the fixed income markets substantial profits can be made simply through the bid/offer spread. For the higherrisk and less liquid bonds such as junk bonds and emerging market bonds, the spread can be as wide as one or two points. Similarly, while the agency instruments in the mortgage market trade with eighth- and sixteenth-of-apoint spreads, the derivative instruments—collateralized mortgage obligations (CMOs), IOs, and POs—can have spreads that are multiples of those. In contrast to the fixed income market, where a firm takes a principal position, transacts in large volume, and extracts a spread for the inventory and market making service it provides, equity trades generally move through the conduit of an exchange that takes over these functions.

 

pages: 701 words: 199,010

The Crisis of Crowding: Quant Copycats, Ugly Models, and the New Crash Normal by Ludwig B. Chincarini

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affirmative action, asset-backed security, automated trading system, bank run, banking crisis, Basel III, Bernie Madoff, Black-Scholes formula, buttonwood tree, Carmen Reinhart, central bank independence, collapse of Lehman Brothers, collateralized debt obligation, collective bargaining, corporate governance, correlation coefficient, Credit Default Swap, credit default swaps / collateralized debt obligations, delta neutral, discounted cash flows, diversification, diversified portfolio, family office, financial innovation, financial intermediation, fixed income, Flash crash, full employment, Gini coefficient, high net worth, hindsight bias, housing crisis, implied volatility, income inequality, interest rate derivative, interest rate swap, labour mobility, liquidity trap, London Interbank Offered Rate, Long Term Capital Management, low skilled workers, margin call, market design, market fundamentalism, merger arbitrage, Mexican peso crisis / tequila crisis, moral hazard, mortgage debt, Northern Rock, Occupy movement, oil shock, price stability, quantitative easing, quantitative hedge fund, quantitative trading / quantitative finance, Ralph Waldo Emerson, regulatory arbitrage, Renaissance Technologies, risk tolerance, risk-adjusted returns, Robert Shiller, Robert Shiller, Ronald Reagan, Sharpe ratio, short selling, sovereign wealth fund, speech recognition, statistical arbitrage, statistical model, systematic trading, The Great Moderation, too big to fail, transaction costs, value at risk, yield curve, zero-coupon bond

Lehman Brothers believed that its presence in the global capital markets; its access to advanced information technology, in-depth market research, proprietary risk management, and its general assessment experience under rapidly changing market conditions gave it a comparative advantage in finding profitable trading opportunities. Fixed Income Fixed income is another large part of the capital markets division. Fixed income was particularly important at Lehman Brothers, which was known as one of the leading fixed-income specialists in investment banking. Fixed-income instruments pay a fixed, known stream of future income—hence the term “fixed income.” Bonds are the most common example. Buy a stock, and you have no idea what the future returns will be. The stock could go up or down by any amount, making the income from it variable, not fixed. Bonds and other fixed-income instruments, by contrast, commit to paying a known payment on specified future dates.5 As a broker, Lehman helped investors trade fixed-income instruments, 24 hours a day and around the world.

Myron Scholes, a PhD from the University of Chicago and a professor at MIT and Chicago, became a managing director of Salomon in 1991, as well as co-head of the fixed-income sales and trading department. Finally Robert Merton, a PhD from MIT and a Harvard professor, arrived in 1988 as a senior advisor to Salomon Brothers. The whole quantitative team worked in fixed income, but focused on slightly different areas. Haghani was a bond arbitrage trader, Hawkins worked in bond arbitrage and mortgages, Hilibrand worked in bond arbitrage, Hufschmid worked on the UK fixed-income arbitrage desk and then moved permanently to the FX trading desk, Krasker worked in fixed-income arbitrage, Krisnamacher worked on the derivatives trading desk, Leahy was head of mortgage trading, and Rosenfeld was the co-head of the bond arbitrage group.

Even when Drexel collapsed in the late 1980s and Refco failed in 2005, regulators preserved their trading books to unwind or transfer positions to another institution.3 Lehman was involved in all sorts of dealer trading, including commodities, real estate, equities, and fixed income. Many of its positions were OTC deals, rather than exchange-cleared deals. This created a web of interdependencies, as with LTCM in 1998. Because Lehman was relatively more involved in fixed-income trading and was generally known as one of the world’s premier fixed-income intermediaries, its bankruptcy had the potential to disrupt fixed-income markets. The International Swaps and Derivatives Association (ISDA) stipulates that counterparties have the option to terminate positions with a bankrupt firm at the closing prices on the day of the bankruptcy filing.

 

pages: 490 words: 117,629

Unconventional Success: A Fundamental Approach to Personal Investment by David F. Swensen

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asset allocation, asset-backed security, capital controls, cognitive dissonance, corporate governance, diversification, diversified portfolio, fixed income, index fund, law of one price, Long Term Capital Management, market bubble, market clearing, market fundamentalism, passive investing, pez dispenser, price mechanism, profit maximization, profit motive, risk tolerance, risk-adjusted returns, Robert Shiller, Robert Shiller, shareholder value, Silicon Valley, Steve Ballmer, technology bubble, the market place, transaction costs, Vanguard fund, yield curve

The answer to the asymmetry no doubt lies in the superior sophistication of issuers of debt relative to the limited market savvy of purchasers of debt. In point of fact, fixed-income markets attract analysts several notches below the quality and sophistication of equity analysts, even though the complexity of the task facing the fixed-income analyst arguably exceeds the difficulty of the equity analyst’s job. Corporate bond investors need familiarity not only with the complexities of fixed-income markets, but also with the full range of issues involved in equity valuation. Since understanding the cushion provided by a company’s equity proves essential in evaluating a corporation’s ability to service debt, bond analysts require a full assessment of a company’s stock price.

Since after-tax returns for taxable and tax-exempt bonds tend to fall in the same neighborhood, the primary benefit to owning tax-exempt debt lies in freeing capacity in an investor’s tax-deferred accounts for non-fixed-income assets. While investors gain clear short-term economic benefits from employing tax-deferred accounts for non-fixed-income assets, the short-run gains come at the expense of long-run portfolio characteristics. Investors who substitute tax-exempt debt for core holdings of Treasury bonds dilute the value of fixed income’s diversifying power by introducing call risk and credit risk to the bond portfolio. Table 4.2 Vanguard’s Taxable Money-Market Investors Miss an Opportunity Source: Vanguard.

Optionality proves even more difficult to assess than credit risk. In the case of fixed-income instruments with credit risk, sensible investors look at bond yields with skepticism, knowing that part of the return may be lost to corporate downgrades or defaults. In the case of fixed-income instruments with high degrees of optionality, everyday investors hold no clue as to the appropriate amount by which to discount stated yields to adjust for the possible costs of the options. In fact, many professionals fail to understand the difficult dynamics of fixed-income options. Piper Capital’s Worth Bruntjen In a celebrated case of the early 1990s, Worth Bruntjen, a fixed-income specialist at Piper Capital in Minneapolis, built an enormous reputation as a manager of mortgage-backed securities portfolios.

 

pages: 313 words: 101,403

My Life as a Quant: Reflections on Physics and Finance by Emanuel Derman

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Berlin Wall, bioinformatics, Black-Scholes formula, Brownian motion, capital asset pricing model, Claude Shannon: information theory, Emanuel Derman, fixed income, Gödel, Escher, Bach, haute couture, hiring and firing, implied volatility, interest rate derivative, Jeff Bezos, John von Neumann, law of one price, linked data, Long Term Capital Management, moral hazard, Murray Gell-Mann, pre–internet, publish or perish, quantitative trading / quantitative finance, Richard Feynman, Sharpe ratio, statistical arbitrage, statistical model, Stephen Hawking, Steve Jobs, stochastic volatility, technology bubble, transaction costs, value at risk, volatility smile, Y2K, yield curve, zero-coupon bond

Although options theory originated in the world of stocks, it is exploited more widely in the fixed-income universe. Stocks (at least at first glance) lack mathematical detail-if you own a share of stock you are guaranteed nothing; all you really know is that its price may go up or down. In contrast, fixed-income securities such as bonds are ornate mechanisms that promise to spin off future periodic payments of interest and a final return of principal. This specification of detail makes fixed income a much more numerate business than equities, and one much more amenable to mathematical analysis. Every fixed-income securitybonds, mortgages, convertible bonds, and swaps, to name only a few-has a value that it depends on, and is therefore conveniently viewed as a derivative of the market's underlying interest rates.

There, most investors are concerned with which stock to buy, a problem on which the advanced mathematics of derivatives can shed little light. Fixed income and equities have fundamentally different foci. When you walk around a frenetic fixed-income trading floor, you hear people shouting out numbers-yields and spreads-over the hoot-andholler; on a busy equities floor, you mostly hear people shouting company names. Fixed-income trading requires a better grasp of technology and quantitative methods than equities trading. A trader friend of mine summed it up succinctly when, after I commented to him that the fixed-income traders I knew seemed smarter than the equity traders, he replied that "that's because there's no competitive edge to being smart in the equities business" I don't mean to suggest that all quants work on the Black-Scholes model.

A year or so after joining O'Connor, he departed together with two software engineers he had met there to start a company to produce fixed-income risk management software. They based themselves in Chicago and called their firm RMS, an evocative name that I greatly admired.' David's plan to build a commercial fixed-income risk management system was an inspired one, several years ahead of its time. Although many trading firms and investment banks, including Goldman, wrote their own risk-management software, at that time no one had yet marketed that type of product commercially. Stan Diller at Bear Stearns was pushing in that direction; as head of FAST, their fixed-income research group, he was building a system called AutoBond, which was intended to first be used by the trading desks and then, once polished and debugged, to be sold to clients.

 

pages: 385 words: 128,358

Inside the House of Money: Top Hedge Fund Traders on Profiting in a Global Market by Steven Drobny

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Albert Einstein, asset allocation, Berlin Wall, Bonfire of the Vanities, Bretton Woods, buy low sell high, capital controls, central bank independence, Chance favours the prepared mind, commodity trading advisor, corporate governance, correlation coefficient, Credit Default Swap, diversification, diversified portfolio, family office, fixed income, glass ceiling, high batting average, implied volatility, index fund, inflation targeting, interest rate derivative, inventory management, Long Term Capital Management, margin call, market bubble, Maui Hawaii, Mexican peso crisis / tequila crisis, moral hazard, new economy, Nick Leeson, oil shale / tar sands, oil shock, out of africa, paper trading, Peter Thiel, price anchoring, purchasing power parity, reserve currency, risk tolerance, risk-adjusted returns, risk/return, rolodex, Sharpe ratio, short selling, Silicon Valley, The Wisdom of Crowds, too big to fail, transaction costs, value at risk, yield curve, zero-coupon bond

Why don’t you have some South American fixed income, something in Asia, some diversification?” My reply was, “When the Fed is in an aggressive rate-cutting mode I want to be long Eurodollars because it’s the most obvious trade in the most liquid market in the world. I don’t want to be long South American fixed income or anything else when there is a clear trend in a liquid market.” (See Figure 5.4.) Over your trading career, have you made more money in fixed income from the long or short side? Long, and again that makes perfect sense when you look at how markets trade. Bear markets in fixed income are very short with powerful rallies.

The next big asset category where we can be systematic, earn risk premia, and control our downside is fixed income. In Triumph of the Optimist (by Elroy Dimson, Paul Marsh, and Mike Staunton), a book about risk premia around the world, there is a whole section on bonds. Because bonds, on average, have paid a positive risk premium over time, you are supposed to be long fixed income. They don’t pay the same as equities, but they shouldn’t because they aren’t as risky as equities. But that’s the beauty of 62 INSIDE THE HOUSE OF MONEY being able to take on leverage.When we allocate 20 percent of our risk to fixed income, it doesn’t mean we only put 20 percent of our assets into fixed income.There are all kinds of interesting things you can do in fixed income with leverage and still only utilize 20 percent of your capital.

But that’s the beauty of 62 INSIDE THE HOUSE OF MONEY being able to take on leverage.When we allocate 20 percent of our risk to fixed income, it doesn’t mean we only put 20 percent of our assets into fixed income.There are all kinds of interesting things you can do in fixed income with leverage and still only utilize 20 percent of your capital. For example, you could put 40 percent of your capital into shorterduration bonds.When using leverage, you want the highest Sharpe ratio because you’re borrowing money against your investment, and the best Sharpe ratios are found in the two years and under the sector of fixed income. On an absolute return basis, two years and under bonds are not going to pay as much as a 10-year bond because the yields are usually lower. But the risk-to-return ratio is also very different.You could be five times levered in the two-year and get a higher payout with the same risk as a 10-year bond because of duration.

 

pages: 192 words: 75,440

Getting a Job in Hedge Funds: An Inside Look at How Funds Hire by Adam Zoia, Aaron Finkel

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backtesting, barriers to entry, collateralized debt obligation, commodity trading advisor, Credit Default Swap, credit default swaps / collateralized debt obligations, discounted cash flows, family office, fixed income, high net worth, interest rate derivative, interest rate swap, Long Term Capital Management, merger arbitrage, offshore financial centre, random walk, Renaissance Technologies, risk-adjusted returns, rolodex, short selling, side project, statistical arbitrage, systematic trading, unpaid internship, value at risk, yield curve, yield management

Note: This is primarily an equity-based style. Fixed Income Strategies There are many different fixed income funds that invest in various types of debt instruments, including mortgage-backed securities (MBS), collateralized debt obligations (CDOs), collateralized loan obligations (CLOs), convertible bonds, high-yield bonds, municipal bonds, corporate bonds, and different types of global securities. There are diversified funds that may invest in a combination of these securities and also arbitrage funds that seek to profit by exploiting pricing inefficiencies between related fixed income securities while neutralizing exposure to interest rate risk.

c01.indd 5 1/10/08 11:00:55 AM 6 Getting a Job in Hedge Funds Table 1.3 Instruments and Styles COMMONLY USED INSTRUMENTS HEDGE FUND STYLES Public Equities Long/Short Quantitative Fixed Income Long Bias Event-Driven/Special Situations Currencies Short Only Value Commodities Arbitrage Trading Oriented Derivatives/Futures Market Neutral Global Macro Private Equity Industry Focus Multi-strategy Convertible Bonds Distressed Geographic Focus Arbitrage Strategies There are various types of arbitrage strategies, and all seek to exploit imbalances between different financial markets such as currencies, commodities, and debt. Some of the more popular hedge fund arbitrage strategies are convertible fixed income, risk, and statistical arbitrage.

Convertible Arbitrage This strategy is identified by hedge investing in the convertible securities of a company. To do this, a hedge fund manager would buy the convertible bonds of a company while at the same time selling (or shorting) the company’s common stock. Positions are designed to generate profits from the fixed income security as well as the short sale of stock, while protecting principal from market moves. Fixed Income Arbitrage A fund that follows this strategy aims to profit from price anomalies between related interest rate securities. Most managers trade globally with a goal of generating steady returns with low volatility. This category includes interest rate swap arbitrage, U.S. and non-U.S. government bond arbitrage, forward yield curve arbitrage, and mortgage-backed securities (MBS) arbitrage.

 

pages: 345 words: 86,394

Frequently Asked Questions in Quantitative Finance by Paul Wilmott

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Albert Einstein, asset allocation, Black-Scholes formula, Brownian motion, butterfly effect, capital asset pricing model, collateralized debt obligation, Credit Default Swap, credit default swaps / collateralized debt obligations, delta neutral, discrete time, diversified portfolio, Emanuel Derman, Eugene Fama: efficient market hypothesis, fixed income, fudge factor, implied volatility, incomplete markets, interest rate derivative, interest rate swap, iterative process, London Interbank Offered Rate, Long Term Capital Management, Louis Bachelier, mandelbrot fractal, margin call, market bubble, martingale, Norbert Wiener, quantitative trading / quantitative finance, random walk, regulatory arbitrage, risk/return, Sharpe ratio, statistical arbitrage, statistical model, stochastic process, stochastic volatility, transaction costs, urban planning, value at risk, volatility arbitrage, volatility smile, Wiener process, yield curve, zero-coupon bond

If the logarithm of J is Normally distributed with standard deviation σ′ then the price of a European non-path-dependent option can be written as where and and VBS is the Black-Scholes formula for the option value in the absence of jumps. Fixed Income In the following we use the continuously compounded interest convention. So that one dollar put in the bank at a constant rate of interest r would grow exponentially, ert. This is the convention used outside the fixed-income world. In the fixed-income world where interest is paid discretely, the convention is that money grows according to(1 + r′τ)n, where n is the number of interest payments, τ is the time interval between payments (here assumed constant) and r′ is the annualized interest rate.

In 1976 Fischer Black introduced the idea of treating bonds as underlying assets so as to use the Black-Scholes equity option formulæ for fixed-income instruments. This is also not entirely satisfactory since there can be contradictions in this approach. On one hand bond prices are random, yet on the other hand interest rates used for discounting from expiration to the present are deterministic. An internally consistent stochastic rates approach was needed. The first step on the stochastic interest rate path used a very short-term interest rate, the spot rate, as the random factor driving the entire yield curve. The mathematics of these spot-rate models was identical to that for equity models, and the fixed-income derivatives satisfied similar equations as equity derivatives.

In all of the spot rate models below we havedr = u(r,t)dt + w(r,t)dX as the real process for the spot interest rate. The risk-neutral process which governs the value of fixed-income instruments isdr = (u − λw)dt + w dX where λ is the market price of interest rate risk. In each case the stochastic differential equation we describe is for the risk-neutral spot rate process, not the real. The differential equation governing the value of non-path-dependent contracts is The value of fixed-income derivatives can also be interpreted as [Present value of cashflows], where the expectation is with respect to the risk-neutral process Vasicek In this model the risk-neutral process isdr = (a − br )dt + c dX, with a, b and c being constant.

 

Stocks for the Long Run, 4th Edition: The Definitive Guide to Financial Market Returns & Long Term Investment Strategies by Jeremy J. Siegel

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asset allocation, backtesting, Black-Scholes formula, Bretton Woods, buy low sell high, California gold rush, capital asset pricing model, cognitive dissonance, compound rate of return, correlation coefficient, Daniel Kahneman / Amos Tversky, diversification, diversified portfolio, dividend-yielding stocks, equity premium, Eugene Fama: efficient market hypothesis, fixed income, German hyperinflation, implied volatility, index arbitrage, index fund, Isaac Newton, joint-stock company, Long Term Capital Management, loss aversion, market bubble, mental accounting, new economy, oil shock, passive investing, prediction markets, price anchoring, price stability, purchasing power parity, random walk, Richard Thaler, risk tolerance, risk/return, Robert Shiller, Robert Shiller, Ronald Reagan, shareholder value, short selling, South Sea Bubble, technology bubble, The Great Moderation, The Wisdom of Crowds, transaction costs, tulip mania, Vanguard fund

From 1880, the real return on long-term bonds over every 30year period has never reached 4 percent, and it has exceeded 3 percent during only 22 such periods. CHAPTER 1 Stock and Bond Returns Since 1802 TABLE 15 1–2 Fixed-Income Returns, 1802 through December 2006 You have to go back more than 11⁄2 centuries to the period from 1831 through 1861 to find any 30-year period during which the return on either long- or short-term bonds exceeded that on equities. The dominance of stocks over fixed-income securities is overwhelming for investors with long horizons. THE FALL IN FIXED-INCOME RETURNS Although the returns on equities have fully compensated stock investors for the increased inflation since World War II, the returns on fixedincome securities have not.

For more information about this title, click here C O N T E N T S Foreword xv Preface xvii Acknowledgments xxi PART 1 THE VERDICT OF HISTORY Chapter 1 Stock and Bond Returns Since 1802 3 “Everybody Ought to Be Rich” 3 Financial Market Returns from 1802 5 The Long-Term Performance of Bonds 7 The End of the Gold Standard and Price Stability 9 Total Real Returns 11 Interpretation of Returns 12 Long-Term Returns 12 Short-Term Returns and Volatility 14 Real Returns on Fixed-Income Assets 14 The Fall in Fixed-Income Returns 15 The Equity Premium 16 Worldwide Equity and Bond Returns: Global Stocks for the Long Run 18 Conclusion: Stocks for the Long Run 20 Appendix 1: Stocks from 1802 to 1870 21 Appendix 2: Arithmetic and Geometric Returns 22 v vi Chapter 2 Risk, Return, and Portfolio Allocation: Why Stocks Are Less Risky Than Bonds in the Long Run 23 Measuring Risk and Return 23 Risk and Holding Period 24 Investor Returns from Market Peaks 27 Standard Measures of Risk 28 Varying Correlation between Stock and Bond Returns 30 Efficient Frontiers 32 Recommended Portfolio Allocations 34 Inflation-Indexed Bonds 35 Conclusion 36 Chapter 3 Stock Indexes: Proxies for the Market 37 Market Averages 37 The Dow Jones Averages 38 Computation of the Dow Index 39 Long-Term Trends in the Dow Jones 40 Beware the Use of Trend Lines to Predict Future Returns 41 Value-Weighted Indexes 42 Standard & Poor’s Index 42 Nasdaq Index 43 Other Stock Indexes: The Center for Research in Security Prices (CRSP) 45 Return Biases in Stock Indexes 46 Appendix: What Happened to the Original 12 Dow Industrials?

The shortterm fluctuations in the stock market, which loom so large to investors when they occur, are insignificant when compared to the upward movement of equity values over time. In contrast to the remarkable stability of stock returns, real returns on fixed-income assets have declined markedly over time. In the first and even second subperiods, the annual returns on bonds and bills, although less than those on equities, were significantly positive. But since 1926, and especially since World War II, fixed-income assets have returned little after inflation. INTERPRETATION OF RETURNS Long-Term Returns The annual returns on U.S. stocks over the past two centuries are summarized in Table 1-1.15 The shaded column represents the real after-inflation, compound annual rate of return on stocks.

 

pages: 537 words: 144,318

The Invisible Hands: Top Hedge Fund Traders on Bubbles, Crashes, and Real Money by Steven Drobny

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Albert Einstein, Asian financial crisis, asset allocation, asset-backed security, backtesting, banking crisis, Bernie Madoff, Black Swan, Bretton Woods, BRICs, British Empire, business process, capital asset pricing model, capital controls, central bank independence, collateralized debt obligation, Commodity Super-Cycle, commodity trading advisor, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, currency peg, debt deflation, diversification, diversified portfolio, equity premium, family office, fiat currency, fixed income, follow your passion, full employment, Hyman Minsky, implied volatility, index fund, inflation targeting, interest rate swap, inventory management, invisible hand, London Interbank Offered Rate, Long Term Capital Management, market bubble, market fundamentalism, market microstructure, moral hazard, North Sea oil, open economy, peak oil, pension reform, Ponzi scheme, prediction markets, price discovery process, price stability, private sector deleveraging, profit motive, purchasing power parity, quantitative easing, random walk, reserve currency, risk tolerance, risk-adjusted returns, risk/return, savings glut, Sharpe ratio, short selling, sovereign wealth fund, special drawing rights, statistical arbitrage, stochastic volatility, The Great Moderation, time value of money, too big to fail, transaction costs, unbiased observer, value at risk, Vanguard fund, yield curve

From there I moved into fixed income back in Minneapolis, where I again started at the bottom of the desk: rolling fixed income positions for the financial division (repo and reverse repo), concomitantly trading fixed income and currency exposures. I view these housekeeping trading roles—rolling currency positions, repo/reverse repo, stock borrow/lend, and futures rolls—as integral to the process of learning the pulse of any market. My next position took me to Australia, where I managed our branch office in Melbourne, a position that entailed overseeing portfolios in currency, fixed income, and equities markets, as well as responsibility for accounting functions.

See European Central Bank Economic crash (2008) banks, problems foresight Economic cycle, driver (location) Economic entity, presence Economic leverage, accounting leverage (contrast) Economy, double dip (hypothesis) Efficient frontier leverage, relationship Efficient markets, disbelief Electorate-adjusted El-Erian, Mohamed Emerging markets bearish markets bubble collapse corporate bonds, usage decoupling equities, selection Employee pension scheme, capital allocation End of the Line, The (Lynn) Endowment Model flaws invalidation orientation portfolio resemblance Endowments cash level Commodity Hedger process decrease in-house trading staff, absence problems Energy, usage Equities bubble/overvaluation performance risk, commodity risk (contrast) risk premium, faith risky assets Equity assets, U.S. public/private pension ownership Equity bubble, conditions Equity-centric portfolio, endorsement (Swensen) Equity concentration risk, awareness Equity index futures, usage Equity-like instruments, usage Equity multiples (1980-2000) Equity-oriented portfolios, decrease Equity returns, Harvard/Yale endowments (contrast) Equity Trader, The adaptability call blow-ups, avoidance business entry CalPERS operation core positions trading, indices/options (usage) discipline, lessons environment differentiation focus fundamentals, understanding future adaptability hedge fund operation, worries outlook interview investor meetings lessons manager, investor base (impact) market environment identification momentum trades, options (usage) performance, randomness P&L, trading portfolio construction positioning, understanding private deals, execution profit-taking process real money fund management research team, usage risk framework transition rules, discovery socialism, concern sovereign wealth fund operation stockholder understanding stocks, shorting/ownership (contrast) taxes, hedge traders competition hiring criteria trades ideas, origination quality risk/reward, change trading accounts, problems decisions, policy makers (impact) disaster preplanning sharpness style, implementation worldview Euro, two-year Euro interest rates European Central Bank (ECB) inflation targeting European Currency Unit (ECU) basket European Exchange Rate (ERM) European Monetary Unit (EMU) European Union, breakage (potential) Excess demand, control Excess return, valuation Exchange rate valuation, P/E multiples (relationship) Exchange-traded funds (ETFs) allowance usage Export land model Extreme scenarios, protection (purchase) Faber, Mark Family office manager Fat-tail events Favorite Trade concept format, Plasticine Macro Trader disapproval Federal Reserve Funds, target rate (2008) independence, cessation Feedback, impact Ferguson, Niall Fiat currencies, impact Fiat money, cessation Filipino Diaspora Finance, diversification (impact) Financial bubble, risk Financial instruments, usage Financials, future Financial stocks (2007-2008) Financing problems Firm-level risk management Fiscal policy easing role, impact underestimation Fiscal stimulus China impact Fixed income trading, focus Fixed income volatility trade Flexibility, value (example) Fordham Law School, support Forecast combinations, improvement Forecasting model parameters, estimation Foreign currency diversification, usage Foreign Direct Investment (FDI) Forward fixed income Forward price, spot price (contrast) Forward-starting volatility Friedman, Milton Front contracts, physical commodities Fundamental investing/research, time frames (matching) Fundamentals, understanding Fund management, skill Fund performance, indicator Future benefit obligations, earnings Future correlations, usage FX forwards G3/G7 liquid rate, arbitrage opportunity (absence) G7 demand G7 economies, problems G10 policy General Theory of Employment, Interest, and Money, The (Keynes) German Schatz contracts Global adjustment period Global dollar carry trade Global economy, weakness Global equities decrease markets, decline Global fund management industry Global governments, financial system (backstopping) Globalization, meaning Global macro approach Global macro funds, factors Global macro hedge fund managers Global warming, carbon dioxide (impact) Gold (1979-1980) (1999) (2000-2009) (2004-2009) pension fund base currency safety Good leverage, classification Government bonds bull market (1985-2009) leverage, change LIBOR positions, leverage safety Government debt, funding Government default risk Government stimulus, payment Grantham, Jeremy Great Britain, ERM absence Great Depression spending, decrease taxes, increase Great Macro Experiment.

In 1949, public and private pension assets in the United States were $15.7 billion. The asset mix was roughly half in government bonds, and half in other fixed income and insurance company fixed annuity investment products. There was minimal exposure to equities. Figure 1.2 Growth of US Public and Private Pension Fund Assets, 1950-2008 SOURCE: Federal Reserve Flow of Funds. Along Came Inflation By 1970, public and corporate pension fund assets in the United States reached $211.7 billion, the majority of which was concentrated in fixed income. Beginning with the 1973-1974 oil embargo, wave after wave of commodity price-induced inflation roiled fixed interest portfolios through the remainder of the decade.

 

pages: 1,073 words: 302,361

Money and Power: How Goldman Sachs Came to Rule the World by William D. Cohan

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asset-backed security, Bernie Madoff, buttonwood tree, collateralized debt obligation, corporate governance, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, diversified portfolio, fear of failure, financial innovation, fixed income, Ford paid five dollars a day, Goldman Sachs: Vampire Squid, Gordon Gekko, high net worth, hiring and firing, hive mind, Hyman Minsky, interest rate swap, London Interbank Offered Rate, Long Term Capital Management, margin call, market bubble, merger arbitrage, moral hazard, mortgage debt, paper trading, passive investing, Ponzi scheme, price stability, profit maximization, risk tolerance, Ronald Reagan, Saturday Night Live, South Sea Bubble, time value of money, too big to fail, traveling salesman, value at risk, yield curve, Yogi Berra

Aron about who should run the firm’s fixed-income business. “The three senior people from J. Aron got into a disagreement with the people at Goldman’s fixed-income group about whether J. Aron should have its own fixed-income department or they should use the Goldman Sachs fixed-income department, which is what I thought they should do,” Rubin explained. “I didn’t really want two competing fixed-income departments. It would be chaotic. But it actually was a long dispute, with Weinberg and Whitehead having different views, which is what made it complicated. Ultimately, we decided to have one fixed-income department. In any event, the three guys running J.

Aside from why Friedman had seemingly botched his departure, the other lingering question that remained among many of the Goldman partners was how Corzine could have emerged as the firm’s leader when he was leading the very division—fixed-income—that had lost hundreds of millions of dollars in 1994. “He’s the only one who understood how to get out of it,” explained a fixed-income trader. “You have to have someone who knew how to get out of it.” Paulson tried to explain how this could have happened. “Fixed-income trading had grown to be a big part of the firm and its profits,” he said, “so effectively there wasn’t a choice. There had to be someone from the fixed-income side overseeing that business because that’s where the problems were.” Added another partner, about Corzine, “He is charming.

Friedman and Rubin set about changing the gestalt of the fixed-income group by taking a most un-Goldman-like step: they hired a group of senior traders from Salomon Brothers—the fixed-income leader—to perform an extreme makeover. First, Goldman hired Thomas Pura, thirty-two, who chose to go to Harvard instead of signing up with the Kansas City Royals after high school. He regularly participated in Ironman triathlons and brought to the department “a new intensity and a risky style of trading that was bolder and more aggressive than anything Goldman Sachs fixed-income had ever seen,” according to Lisa Endlich in Goldman Sachs: The Culture of Success.

 

pages: 526 words: 158,913

Crash of the Titans: Greed, Hubris, the Fall of Merrill Lynch, and the Near-Collapse of Bank of America by Greg Farrell

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Apple's 1984 Super Bowl advert, bank run, banking crisis, bonus culture, call centre, Captain Sullenberger Hudson, collapse of Lehman Brothers, collateralized debt obligation, corporate governance, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, financial innovation, fixed income, glass ceiling, high net worth, Long Term Capital Management, mass affluent, Mexican peso crisis / tequila crisis, Plutocrats, plutocrats, Ronald Reagan, six sigma, sovereign wealth fund, technology bubble, too big to fail, yield curve

Osman Semerci, a rising star at Merrill Lynch, would make this presentation and walk the board of directors through Merrill Lynch’s fixed-income exposures. Just nine months earlier, O’Neal had encouraged the selection of Semerci, a thirty-eight-year-old native of Turkey, to be head of Merrill Lynch’s fixed-income, commodities, and currencies business, an area known on Wall Street as “FICC.” The term “fixed income” had grown more important on Wall Street over the previous decade because of the proliferation of products that, like bonds, provided a steady stream of payments to the owner. When he was stationed in Tokyo and then in London, Semerci had established himself as a master in the art of selling fixed-income products to other banks and investors.

In 2003, Dow Kim, a forty-year-old Korean, had been put in charge of all sales and trading operations. But by 2006, the fixed-income division was generating so much revenue every quarter (much of which came from Semerci, who was based in London), that Stan O’Neal felt the unit should have a full-time manager for the position. Kim had come under increasing pressure from O’Neal to boost Merrill’s FICC revenues up to the levels of Goldman Sachs, the industry leader in the category. Kim’s first choice for the job was an internal candidate, Jeff Kronthal, one of the top fixed-income people on Wall Street, who had a deep understanding of risk. But neither O’Neal nor Fakahany was enamored of the fifty-one-year-old Kronthal, who had recently become cautious about trades involving the real estate market.

The ouster of two highly regarded fixtures of the trading floor—on the same day that several board members were taking a tour of the trading desks—made for unusual theater. When Semerci arrived a few days later and was introduced to everyone by Dow Kim as the new FICC leader, fixed-income traders gathered on the seventh floor to take the measure of the new boss. Semerci made a few introductory remarks, talking about what he had been doing in Europe, then addressed the topic at hand: “I think the U.S. is very important,” he said. “I don’t know much about U.S. fixed income, but I’m excited to learn.” Most of the veteran traders, who had relied on the decades of expertise that Kronthal and his crew had brought to the game, listened in disbelief.

 

pages: 1,088 words: 228,743

Expected Returns: An Investor's Guide to Harvesting Market Rewards by Antti Ilmanen

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Andrei Shleifer, asset allocation, asset-backed security, availability heuristic, backtesting, balance sheet recession, bank run, banking crisis, barriers to entry, Bernie Madoff, Black Swan, Bretton Woods, buy low sell high, capital asset pricing model, capital controls, Carmen Reinhart, central bank independence, collateralized debt obligation, commodity trading advisor, corporate governance, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, debt deflation, deglobalization, delta neutral, demand response, discounted cash flows, disintermediation, diversification, diversified portfolio, dividend-yielding stocks, equity premium, Eugene Fama: efficient market hypothesis, fiat currency, financial deregulation, financial innovation, financial intermediation, fixed income, Flash crash, framing effect, frictionless, frictionless market, George Akerlof, global reserve currency, Google Earth, high net worth, hindsight bias, Hyman Minsky, implied volatility, income inequality, incomplete markets, index fund, inflation targeting, interest rate swap, invisible hand, Kenneth Rogoff, laissez-faire capitalism, law of one price, Long Term Capital Management, loss aversion, margin call, market bubble, market clearing, market friction, market fundamentalism, market microstructure, mental accounting, merger arbitrage, mittelstand, moral hazard, New Journalism, oil shock, p-value, passive investing, performance metric, Ponzi scheme, prediction markets, price anchoring, price stability, principal–agent problem, private sector deleveraging, purchasing power parity, quantitative easing, quantitative trading / quantitative finance, random walk, reserve currency, Richard Thaler, risk tolerance, risk-adjusted returns, risk/return, riskless arbitrage, Robert Shiller, Robert Shiller, savings glut, Sharpe ratio, short selling, sovereign wealth fund, statistical arbitrage, statistical model, stochastic volatility, systematic trading, The Great Moderation, The Myth of the Rational Market, too big to fail, transaction costs, tulip mania, value at risk, volatility arbitrage, volatility smile, working-age population, Y2K, yield curve, zero-coupon bond

Ilmanen, Antti (1996), “Market rate expectations and forward rates,” Journal of Fixed Income 6(2), 8–22 (originally published as part of a Salomon Brothers research paper series titled “Understanding the Yield Curve”). Ilmanen, Antti (1997), “Forecasting U.S. bond returns,” Journal of Fixed Income 7(1), 22–37 (originally published as part of a Salomon Brothers research paper series titled “Understanding the Yield Curve”). Ilmanen, Antti (2003a), “Expected returns on stocks and bonds,” Journal of Portfolio Management 29(2), 7–27. Ilmanen, Antti (2003b), “Stock–bond correlations,” Journal of Fixed Income 13(2), 55–66. Ilmanen, Antti; and Rory Byrne (2003), “Pronounced momentum patterns ahead of major events,” Journal of Fixed Income 12(4), 73-80.

Ilmanen, Antti; and Rory Byrne (2003), “Pronounced momentum patterns ahead of major events,” Journal of Fixed Income 12(4), 73-80. Ilmanen, Antti; Rory Byrne; Heinz Gunasekera; and Robert Minikin (2003), “Which risks have been best rewarded?” Journal of Portfolio Management 30(2), 53–57. Ilmanen, Antti; and Roberto Fumagalli (2003), “Consistency of carry strategies in Europe,” in Professional Perspectives on Fixed Income Portfolio Management, Volume 4 (Frank J. Fabozzi, Ed.), Hoboken, NJ: John Wiley & Sons, Inc. Ilmanen, Antti; and Rafey Sayood (2002), “Quantitative forecasting models and active diversification for international bonds,” Journal of Fixed Income 12(3), 40–51. International Monetary Fund (IMF) (2009), “Statistical appendix,” Global Financial Stability Report (September).

Developed market equities enjoyed persistent rallies in 1993–2000 and 2003–2007 but lost about half of their value in 2000–2003 and again in 2008. Partly due to the Japan drag, the asset class ended up underperforming emerging markets, fixed income, and real estate. Emerging market equities gave investors a characteristically bumpy ride but delivered the highest returns. Fixed income returns were most stable, while real estate (in the U.S.) was the best-performing asset class between the mid-1990s and 2007 but then busted. 2.3 FORWARD-LOOKING RETURN INDICATORS All historical return data may be beside the point if expected returns vary over time.

 

pages: 368 words: 145,841

Financial Independence by John J. Vento

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Affordable Care Act / Obamacare, Albert Einstein, asset allocation, diversification, diversified portfolio, estate planning, financial independence, fixed income, high net worth, Home mortgage interest deduction, mortgage debt, mortgage tax deduction, oil shock, Own Your Own Home, passive income, risk tolerance, time value of money, transaction costs, young professional, zero day

c09.indd 237 26/02/13 2:51 PM 238 Financial Independence (Getting to Point X ) Exhibit 9.4 Seven Sample Asset Allocation Models (1 = Most risk-adverse investor; 7 = Most aggressive investor) 1 Conservative Bond Income 100% Fixed Income 15% Fixed Income: High Yield 50% Fixed Income: Short Term and Money Market 35% Fixed Income: Investment Grade 2 Conservative Income 80% Fixed Income & 20% Equity 2% Equity: International 2% Equity: Mid Cap 16% Equity: Large Cap 30% Fixed Income: Short Term and Money Market 20% Fixed Income: High Yield 30% Fixed Income: Investment Grade 3 Income 70% Fixed Income & 30% Equity 2% Equity: Small Cap 3% Equity: International 4% Equity: Mid Cap 20% Fixed Income: Short Term and Money Market 21% Equity: Large Cap 30% Fixed Income: Investment Grade 20% Fixed Income: High Yield c09.indd 238 26/02/13 2:51 PM Managing Your Investments 239 4 Conservative Growth 55% Fixed Income + 43% Equity + 2% Commodities + 2% Real Estate 2% Commodities 4% Equity: International 2% Real Estate 15% Fixed Income: Short Term and Money Market 3% Equity: Small Cap 5% Equity: Mid Cap 25% Fixed Income: Investment Grade 29% Equity: Large Cap 15% Fixed Income: High Yield 5 Growth 40% Fixed Income + 52% Equity + 4% Commodities + 4% Real Estate 7% Equity: International 4% Commodities 4% Real Estate 4% Equity: Small Cap 2% Fixed Income: Short Term and Money Market 25% Fixed Income: Investment Grade 13% Fixed Income: High Yield 35% Equity: Large Cap 6% Equity: Mid Cap (Continued ) c09.indd 239 26/02/13 2:51 PM 240 Financial Independence (Getting to Point X ) Exhibit 9.4 (Continued ) 6 Maximum Growth 20% Fixed Income + 70% Equity + 5% Commodities + 5% Real Estate 2% Fixed Income: Short Term and Money Market 5% Real Estate 5% Commodities 13% Fixed Income: Investment Grade 10% Equity: International 5% Fixed Income: High Yield 6% Equity: Small Cap 8% Equity: Mid Cap 46% Equity: Large Cap 7 Maximum Growth No Fixed Income 90% Equity + 5% Commodities + 5% Real Estate 5% Real Estate 5% Commodities 15% Equity: International 58% Equity: Large Cap 7% Equity: Small Cap 10% Equity: Mid Cap Depending on your risk tolerance and time horizon, you can select anywhere from model 1 to model 7; for example: • If you will need money in the near future, you should consider a model that involves less risk, such as model 1, 2, or 3. • If you are saving for retirement and have 10 or more years until you will need access to these funds, you may be able to take on more risk and would like to increase your potential for growth.

c09.indd 237 26/02/13 2:51 PM 238 Financial Independence (Getting to Point X ) Exhibit 9.4 Seven Sample Asset Allocation Models (1 = Most risk-adverse investor; 7 = Most aggressive investor) 1 Conservative Bond Income 100% Fixed Income 15% Fixed Income: High Yield 50% Fixed Income: Short Term and Money Market 35% Fixed Income: Investment Grade 2 Conservative Income 80% Fixed Income & 20% Equity 2% Equity: International 2% Equity: Mid Cap 16% Equity: Large Cap 30% Fixed Income: Short Term and Money Market 20% Fixed Income: High Yield 30% Fixed Income: Investment Grade 3 Income 70% Fixed Income & 30% Equity 2% Equity: Small Cap 3% Equity: International 4% Equity: Mid Cap 20% Fixed Income: Short Term and Money Market 21% Equity: Large Cap 30% Fixed Income: Investment Grade 20% Fixed Income: High Yield c09.indd 238 26/02/13 2:51 PM Managing Your Investments 239 4 Conservative Growth 55% Fixed Income + 43% Equity + 2% Commodities + 2% Real Estate 2% Commodities 4% Equity: International 2% Real Estate 15% Fixed Income: Short Term and Money Market 3% Equity: Small Cap 5% Equity: Mid Cap 25% Fixed Income: Investment Grade 29% Equity: Large Cap 15% Fixed Income: High Yield 5 Growth 40% Fixed Income + 52% Equity + 4% Commodities + 4% Real Estate 7% Equity: International 4% Commodities 4% Real Estate 4% Equity: Small Cap 2% Fixed Income: Short Term and Money Market 25% Fixed Income: Investment Grade 13% Fixed Income: High Yield 35% Equity: Large Cap 6% Equity: Mid Cap (Continued ) c09.indd 239 26/02/13 2:51 PM 240 Financial Independence (Getting to Point X ) Exhibit 9.4 (Continued ) 6 Maximum Growth 20% Fixed Income + 70% Equity + 5% Commodities + 5% Real Estate 2% Fixed Income: Short Term and Money Market 5% Real Estate 5% Commodities 13% Fixed Income: Investment Grade 10% Equity: International 5% Fixed Income: High Yield 6% Equity: Small Cap 8% Equity: Mid Cap 46% Equity: Large Cap 7 Maximum Growth No Fixed Income 90% Equity + 5% Commodities + 5% Real Estate 5% Real Estate 5% Commodities 15% Equity: International 58% Equity: Large Cap 7% Equity: Small Cap 10% Equity: Mid Cap Depending on your risk tolerance and time horizon, you can select anywhere from model 1 to model 7; for example: • If you will need money in the near future, you should consider a model that involves less risk, such as model 1, 2, or 3. • If you are saving for retirement and have 10 or more years until you will need access to these funds, you may be able to take on more risk and would like to increase your potential for growth.

c09.indd 237 26/02/13 2:51 PM 238 Financial Independence (Getting to Point X ) Exhibit 9.4 Seven Sample Asset Allocation Models (1 = Most risk-adverse investor; 7 = Most aggressive investor) 1 Conservative Bond Income 100% Fixed Income 15% Fixed Income: High Yield 50% Fixed Income: Short Term and Money Market 35% Fixed Income: Investment Grade 2 Conservative Income 80% Fixed Income & 20% Equity 2% Equity: International 2% Equity: Mid Cap 16% Equity: Large Cap 30% Fixed Income: Short Term and Money Market 20% Fixed Income: High Yield 30% Fixed Income: Investment Grade 3 Income 70% Fixed Income & 30% Equity 2% Equity: Small Cap 3% Equity: International 4% Equity: Mid Cap 20% Fixed Income: Short Term and Money Market 21% Equity: Large Cap 30% Fixed Income: Investment Grade 20% Fixed Income: High Yield c09.indd 238 26/02/13 2:51 PM Managing Your Investments 239 4 Conservative Growth 55% Fixed Income + 43% Equity + 2% Commodities + 2% Real Estate 2% Commodities 4% Equity: International 2% Real Estate 15% Fixed Income: Short Term and Money Market 3% Equity: Small Cap 5% Equity: Mid Cap 25% Fixed Income: Investment Grade 29% Equity: Large Cap 15% Fixed Income: High Yield 5 Growth 40% Fixed Income + 52% Equity + 4% Commodities + 4% Real Estate 7% Equity: International 4% Commodities 4% Real Estate 4% Equity: Small Cap 2% Fixed Income: Short Term and Money Market 25% Fixed Income: Investment Grade 13% Fixed Income: High Yield 35% Equity: Large Cap 6% Equity: Mid Cap (Continued ) c09.indd 239 26/02/13 2:51 PM 240 Financial Independence (Getting to Point X ) Exhibit 9.4 (Continued ) 6 Maximum Growth 20% Fixed Income + 70% Equity + 5% Commodities + 5% Real Estate 2% Fixed Income: Short Term and Money Market 5% Real Estate 5% Commodities 13% Fixed Income: Investment Grade 10% Equity: International 5% Fixed Income: High Yield 6% Equity: Small Cap 8% Equity: Mid Cap 46% Equity: Large Cap 7 Maximum Growth No Fixed Income 90% Equity + 5% Commodities + 5% Real Estate 5% Real Estate 5% Commodities 15% Equity: International 58% Equity: Large Cap 7% Equity: Small Cap 10% Equity: Mid Cap Depending on your risk tolerance and time horizon, you can select anywhere from model 1 to model 7; for example: • If you will need money in the near future, you should consider a model that involves less risk, such as model 1, 2, or 3. • If you are saving for retirement and have 10 or more years until you will need access to these funds, you may be able to take on more risk and would like to increase your potential for growth.

 

pages: 243 words: 77,516

Straight to Hell: True Tales of Deviance, Debauchery, and Billion-Dollar Deals by John Lefevre

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airport security, blood diamonds, colonial rule, credit crunch, fixed income, Goldman Sachs: Vampire Squid, high net worth, income inequality, jitney, market clearing, Occupy movement, the market place

I had no idea where the Twitter account would take me, but I did know that I had been collecting stories (the inane and insane) over the course of my career in banking. I joined the fixed-income desk of Salomon Brothers immediately out of college. *Starting in the wake of the dot-com bubble bursting and working through the financial crisis, across three continents, I enjoyed a colorful career during a turbulent and defining period in the history of financial markets and our society in general. * I joined the fixed-income desk of Salomon Brothers immediately out of college. I say Salomon as opposed to Citigroup or Salomon Smith Barney because the legal entity that employed me was technically Salomon Brothers International, and also to reflect the fact that the culture within fixed income was still very different than the rest of the bank.

I say Salomon as opposed to Citigroup or Salomon Smith Barney because the legal entity that employed me was technically Salomon Brothers International, and also to reflect the fact that the culture within fixed income was still very different than the rest of the bank. As “one of the most prolific syndicate managers in Asia,” I saw it all. I worked intimately with investment banking and sales and trading, corporate and sovereign clients, and asset managers and hedge funds. I did deals with every bank on Wall Street—directing traffic at Wall Street’s epicenter: the bond syndicate desk. Once I left Hong Kong, I was less worried about my identity coming out.

Then, after a final-round interview superday with Bear Stearns, I inadvertently sent a thank-you email to the head of emerging markets, telling him how much I wanted to work for JPMorgan. During a Goldman Sachs interview, some asshole asked me who, living or dead, I would most like to have dinner with. I guess he wasn’t particularly impressed that I named Tupac Shakur ahead of Marcus Aurelius or Alexander Hamilton. Still, despite these hiccups, in the end, I wanted to do fixed income, and for that, there was arguably no better place to be than Salomon Brothers, with the recently added platform and balance sheet of Citigroup behind it. There’s only one slight problem: my analyst class is the largest in the history of investment banking. We were hired based on quotas set in mid-2000, before it was evident that the dot-com party was over.

 

pages: 353 words: 88,376

The Investopedia Guide to Wall Speak: The Terms You Need to Know to Talk Like Cramer, Think Like Soros, and Buy Like Buffett by Jack (edited By) Guinan

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Albert Einstein, asset allocation, asset-backed security, Brownian motion, business process, capital asset pricing model, clean water, collateralized debt obligation, correlation coefficient, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, discounted cash flows, diversification, diversified portfolio, dividend-yielding stocks, equity premium, fixed income, implied volatility, index fund, interest rate swap, inventory management, London Interbank Offered Rate, margin call, market fundamentalism, mortgage debt, passive investing, performance metric, risk tolerance, risk-adjusted returns, risk/return, shareholder value, Sharpe ratio, short selling, statistical model, time value of money, transaction costs, yield curve, zero-coupon bond

Related Terms: • Annuity • Defined-Benefit Plan • Income Statement • Individual Retirement Account—IRA • Mutual Fund Fixed-Income Security What Does Fixed-Income Security Mean? An investment that provides income in the form of fixed periodic payments and the eventual return of principal at maturity. Unlike a variable-income security, in which payments change on the basis of an underlying measure such as short-term interest rates, the payments of a fixed-income security are known in advance and do not change. Investopedia explains Fixed-Income Security An example of a fixed-income security would be a 5% fixed-rate government bond in which a $1,000 investment would result in an annual $50 payment until maturity, at which time the investor would receive the $1,000 back.

A swap designed to transfer the credit exposure of fixed-income products between parties. Investopedia explains Credit Default Swap (CDS) The buyer of a credit swap receives credit protection, whereas the seller of the swap guarantees the creditworthiness of the product. When this is done, the risk of default is transferred from the holder of the fixed-income security to the seller of the swap. For example, the buyer of a credit swap still is entitled to the par value of the bond from the seller of the swap if the bond defaults in its coupon payments. 58 The Investopedia Guide to Wall Speak Related Terms: • Bond • Fixed Income Security • Swap • Credit Derivative • Interest Rate Swap Credit Derivative What Does Credit Derivative Mean?

Related Terms: • Bear Market • Credit Crunch • Subprime Loan • Chapter 11 • Debt Basis Point (BPS) What Does Basis Point (BPS) Mean? A unit equal to 1/100 of 1%; it is used to denote a change in a financial instrument (usually a fixed-income security). The basis point is used commonly for calculating changes in interest rates, equity indexes, and the yield of a fixed-income security. 20 The Investopedia Guide to Wall Speak Investopedia explains Basis Point (BPS) Converting percentage changes in basis points is done as follows: 1% change = 100 basis points, and 0.01% = 1 basis point. Thus, a bond whose yield increases from 5% to 5.5% is said to increase by 50 basis points; when interest rates rise 1%, they have increased by 100 basis points.

 

pages: 363 words: 28,546

Portfolio Design: A Modern Approach to Asset Allocation by R. Marston

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asset allocation, Bretton Woods, capital asset pricing model, capital controls, carried interest, commodity trading advisor, correlation coefficient, diversification, diversified portfolio, equity premium, Eugene Fama: efficient market hypothesis, family office, financial innovation, fixed income, German hyperinflation, high net worth, hiring and firing, housing crisis, income per capita, index fund, inventory management, Long Term Capital Management, mortgage debt, passive investing, purchasing power parity, risk-adjusted returns, Robert Shiller, Robert Shiller, Ronald Reagan, Sharpe ratio, Silicon Valley, superstar cities, transaction costs, Vanguard fund

Chapters 5 and 6 will examine these investments and will show how they help to diversify U.S. portfolios. Fixed income investments have evolved even more than stock investments. Forty years ago, Treasury and corporate bonds were dominant in fixed income portfolios (along with municipals for taxable investors). There were high yield bonds, but those were typically “fallen angels” rather than newly issued bonds. Mortgage-backed bonds didn’t exist because securitization of mortgages was just beginning. Today, Treasuries represent less than 16 percent of the U.S. bond market and corporate bonds another 20 percent. Chapter 7 examines this modern fixed income market in detail. In Chapter 8, all of these traditional assets are combined in what we call a strategic asset allocation, a long-run portfolio allocation based on long-run returns.

The returns on bonds have varied widely over the last few decades, so the chapter will investigate the main determinants of bond returns. Bonds are often favored by investors because they provide fixed income in contrast to the variable returns offered by equities and by most other assets. A stream of fixed income payments is often viewed as essential to retirees as well as many institutional investors because of their need for continual income. Investors focusing only on yields, however, are too often disappointed by the overall performance of their investments. Bond yields represent part of the total return to fixed income assets, but the variation in yields over time leads to capital gains and losses that sometimes dominate the total return from holding bonds.

In the Merrill Lynch-Cap Gemini World Wealth Report (2008), for example, ultra HNW investors are those who have at least $30 million in financial assets excluding collectibles, consumer durables, and primary residences. 10. Recall that the private equity return measures buyout investments primarily. 11. Yale’s allocation to fixed income was as much as 22 percent in the early 1990s, but that is still below the allocation to fixed income in most institutional portfolios. 12. The figures quoted are compound (geometric) averages. The arithmetic average returns were 15.0 percent for the Yale Endowment, 10.4 percent for the Russell 3000, and 10.7 percent for the S&P 500, the latter two indexes measured like the Endowment for the 12 months ending in June of each year. 13.

 

pages: 543 words: 157,991

All the Devils Are Here by Bethany McLean

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Asian financial crisis, asset-backed security, bank run, Black-Scholes formula, call centre, collateralized debt obligation, corporate governance, Credit Default Swap, credit default swaps / collateralized debt obligations, diversification, Exxon Valdez, fear of failure, financial innovation, fixed income, high net worth, Home mortgage interest deduction, interest rate swap, laissez-faire capitalism, Long Term Capital Management, margin call, market bubble, market fundamentalism, Maui Hawaii, moral hazard, mortgage debt, Northern Rock, Own Your Own Home, Ponzi scheme, quantitative trading / quantitative finance, race to the bottom, risk/return, Ronald Reagan, Rosa Parks, shareholder value, short selling, South Sea Bubble, statistical model, telemarketer, too big to fail, value at risk

He pushed Goldman to begin trading options, which it had long shied away from, even hiring Fischer Black, the MIT professor and coinventor of the famous Black-Scholes options pricing model. Goldman’s options trading desk soon became immensely profitable as well. As co-head of the fixed-income research department in the mid-1980s, Rubin helped transform the fixed-income division from a second-tier player into a worthy competitor to such bond strongholds as Salomon Brothers and First Boston. By 1990, he was the co-head of the entire firm. (He shared the title with Steve Friedman, who had also run the fixed-income department with him.) By the time Rubin left for the Clinton administration in 1993—where he spent two years as the head of the National Economic Council before becoming Treasury secretary—Goldman had become the envy of Wall Street.

A few months later, in April, Merrill’s directors and top executives went to Pebble Beach for an off-site. During one of the working sessions, the discussion centered on Merrill’s fixed-income department. “The world has changed,” O’Neal told the assembled executives, according to several people who were there. Fixed income and credit, he added, were no longer cyclical in nature. There was going to be an ongoing demand for fixed-income products. “We need to continue our ability to take risk and manufacture products,” he said. By then, Kronthal was beginning to fear the mortgage market was becoming overheated.

Unlike his predecessor, Corzine, or his eventual successor, Lloyd Blankfein, Paulson was an investment banker, not a fixed-income trader; he had spent the early part of his career doing banking deals out of Goldman’s Chicago office. (Prior to joining Goldman, Paulson had served as an assistant to John Ehrlichman in the Nixon administration.) He became a partner in 1982, eight years after joining the firm, rising to be co-head of the firm’s investment banking department and then its chief operating officer before taking over as CEO in 1999. Investment banker though he was, Paulson did not try to turn back the clock. He saw clearly that trading and fixed income weren’t just the future of the firm—they were the present.

 

pages: 354 words: 26,550

High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems by Irene Aldridge

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algorithmic trading, asset allocation, asset-backed security, automated trading system, backtesting, Black Swan, Brownian motion, business process, capital asset pricing model, centralized clearinghouse, collapse of Lehman Brothers, collateralized debt obligation, collective bargaining, diversification, equity premium, fault tolerance, financial intermediation, fixed income, high net worth, implied volatility, index arbitrage, interest rate swap, inventory management, law of one price, Long Term Capital Management, Louis Bachelier, margin call, market friction, market microstructure, martingale, New Journalism, p-value, paper trading, performance metric, profit motive, purchasing power parity, quantitative trading / quantitative finance, random walk, Renaissance Technologies, risk tolerance, risk-adjusted returns, risk/return, Sharpe ratio, short selling, Small Order Execution System, statistical arbitrage, statistical model, stochastic process, stochastic volatility, systematic trading, trade route, transaction costs, value at risk, yield curve

Optimal Trading Frequency 1 Year 1 Month 1 Day Private Equity Small-Cap Equities Commodities 1 Hour Options 1 Minute 1 Second Futures Large-Cap Equities ExchangeTraded Options Fixed-Income ETFs Foreign Exchange Instrument liquidity (daily trading volume) FIGURE 4.1 Optimal trading frequency for various trading instruments, depending on the instrument’s liquidity. 40 HIGH-FREQUENCY TRADING Fixed-Income Markets The fixed-income markets include the interest rate market and the bond market. The interest rate market trades short- and long-term deposits, and the bond market trades publicly issued debt obligations. Interest rate products and bonds are similar in that they both pay fixed or prespecified income to their holders. Aside from their fixed-income quality, bonds and interest rate products exhibit little similarity.

According to research conducted by Aite Group, equities are the most algorithmically 19 Evolution of High-Frequency Trading 60% 50% Equities Futures Options FX Fixed Income 40% 30% 20% 10% 0% 2004 2005 2006 2007 2008 2009 2010 Year FIGURE 2.7 Adoption of algorithmic execution by asset class. Source: Aite Group. executed asset class, with over 50 percent of the total volume of equities expected to be handled by algorithms by 2010. As Figure 2.7 shows, equities are closely followed by futures. Advances in algorithmic execution of foreign exchange, options, and fixed income, however, have been less visible. As illustrated in Figure 2.7, the lag of fixed income instruments can be explained by the relative tardiness of electronic trading development for them, given that many of them are traded OTC and are difficult to synchronize as a result.

., 207, 274, 278 Fill and kill (FAK) orders, 69 331 Index FINalternatives survey, 21 Financial Accounting Standard (FAS) 133, 263 Financial Information eXchange (FIX) protocol, 31, 239–242 Financial markets, suitable for high-frequency trading, 37–47 fixed-income markets, 40–43 foreign exchange markets, 43–46 liquidity requirements, 37–38 technological innovation and evolution of, 7–13 Finnerty, Joseph E., 183 Fisher, Lawrence, 174 Fixed-income markets, 40–43 algorithmic trading and, 19 event arbitrage, 181–183 FIX protocol, 31, 239–242 Flannery, M.J., 181 Fleming, Michael J., 182 Forecasting methodologies, event arbitrage, 168–173 Foreign currency exchange, 43–46 algorithmic trading and, 19 event arbitrage, 175–178 fundamental analysis and, 14 liquidity and, 38 statistical arbitrage, 189–191 transparent costs, 287 Foster, F., 158 Foucault, T., 66–67, 68, 122–123, 139, 142, 163, 274 Frankfurter, G.M., 209 Franklin, Benjamin, 288 Fransolet, L., 59 French, Kenneth R., 194–195 Frenkel, Jacob, 167 Froot, K., 87 Fuller, W.A., 98 Fundamental analysis, 14–15, 23 Fung, W., 57, 58 Futures: algorithmic trading, 19 commodity markets, 46–47 event arbitrage, 183 fixed-income markets, 40–42 foreign exchange markets, 43–46 liquidity, 38 statistical arbitrage, 197–198 Galai, D., 130 Gambler’s Ruin Problem, 135–137, 268 Garlappi, L., 210 Garman, M.B., 107, 135–137 Gatev, Evan, 188 Generalized autoregressive conditional heteroscedasticity (GARCH) process, 106–107, 123 George, T., 147 Getmansky, M., 59 Gini curve, 222, 228–229 Glantz, Morton, 284–285, 292–293, 298, 299 Globex, 9 Glosten, Lawrence R., 131, 147, 151, 156 Goal-setting, risk management and, 252–253 Goettler, R., 67, 163 Goetzmann, William N., 59, 188 Goldman Sachs, 25 Good for the day (GFD) orders, 68 Good for the extended day (GFE) orders, 68 Goodhart, Charles, 8, 89, 168 Good till canceled (GTC) orders, 68 Good till date (GTD) orders, 68 Good till time (GTT) orders, 68 Gorton, G., 184 Government regulation, 26 Graham, Benjamin, 14 Granger, C., 89, 101, 109 Granger causality specification, 197 Grauer, R.R., 209 Gravitational pull, of quotes, 130 Green, T.C., 182 Gregoriou, G.N., 56 Grilli, Vittorio, 167 Gueyie, J.

 

pages: 430 words: 140,405

A Colossal Failure of Common Sense: The Inside Story of the Collapse of Lehman Brothers by Lawrence G. Mcdonald, Patrick Robinson

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asset-backed security, bank run, collateralized debt obligation, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, cuban missile crisis, diversification, fixed income, high net worth, hiring and firing, if you build it, they will come, London Interbank Offered Rate, Long Term Capital Management, margin call, moral hazard, mortgage debt, naked short selling, new economy, Ronald Reagan, short selling, sovereign wealth fund, value at risk

.: chairman of the board and chief executive officer Joseph Gregory: president and chief operating officer David Goldfarb: former chief financial officer; former global head of principal investing; chief strategy officer Christopher O’Meara: chief financial officer, 2005–07; chief risk officer Erin Callan: managing director and head of hedge fund investment banking; chief financial officer, 2007–08 George Walker IV: managing director and global head of investment management Ian Lowitt: chief administrative officer; chief financial officer, 2008 Lehman Brothers (Traders, Investment Bankers, Risktakers, Salespeople) Michael Gelband: managing director and global head of fixed income; head of capital markets; member of the executive committee Alex Kirk: managing director and global head of high-yield and leveraged-loan businesses; chief operating officer of fixed income; global head of principal investing Herbert “Bart” McDade: managing director and global head of fixed income; global head of equities; president, 2008; member of the executive committee Eric Felder: managing director and head of global credit products group; global head of fixed income Dr. Madelyn Antoncic: managing director and chief risk officer; government liaison Thomas Humphrey: managing director and global head of fixed-income sales Hugh “Skip” McGee: managing director and global head of investment banking Richard Gatward: managing director and global head of convertible trading and sales Lawrence E.

Madelyn Antoncic: managing director and chief risk officer; government liaison Thomas Humphrey: managing director and global head of fixed-income sales Hugh “Skip” McGee: managing director and global head of investment banking Richard Gatward: managing director and global head of convertible trading and sales Lawrence E. McCarthy: managing director and global head of distressed-debt trading Joseph Beggans: senior vice president, distressed-debt trading Peter Schellbach: managing director, distressed-loan trading Terence Tucker: senior vice president, convertible securities sales David Gross: senior vice president, convertible securities sales Jeremiah Stafford: senior vice president, high-yield credit products trading Lawrence G.

Then it’s clear. Boy is it ever clear. And the phrase if only slams into my brain. If only they had listened—Dick Fuld and his president, Joe Gregory. Three times they were hit with the irredeemable logic of three of the cleverest financial brains on Wall Street—those of Mike Gelband, our global head of fixed income, Alex Kirk, global head of distressed trading research and sales, and Larry McCarthy, head of distressed-bond trading. Each and every one of them laid it out, from way back in 2005, that the real estate market was living on borrowed time and that Lehman Brothers was headed directly for the biggest subprime iceberg ever seen, and with the wrong men on the bridge.

 

pages: 297 words: 91,141

Market Sense and Nonsense by Jack D. Schwager

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asset allocation, Bernie Madoff, Brownian motion, collateralized debt obligation, commodity trading advisor, conceptual framework, correlation coefficient, Credit Default Swap, credit default swaps / collateralized debt obligations, Daniel Kahneman / Amos Tversky, diversification, diversified portfolio, fixed income, high net worth, implied volatility, index arbitrage, index fund, London Interbank Offered Rate, Long Term Capital Management, margin call, market bubble, market fundamentalism, merger arbitrage, pattern recognition, performance metric, pets.com, Ponzi scheme, quantitative trading / quantitative finance, random walk, risk tolerance, risk-adjusted returns, risk/return, Robert Shiller, Robert Shiller, Sharpe ratio, short selling, statistical arbitrage, statistical model, transaction costs, two-sided market, value at risk, yield curve

Table 3.2 HFRI Hedge Fund Strategy Indexes* Index 1 HFRI Equity Hedge (Total) Index 2 HFRI Equity Hedge: Equity Market Neutral Index 3 HFRI Equity Hedge: Quantitative Directional 4 HFRI Equity Hedge: Sector—Energy/Basic Materials Index 5 HFRI Equity Hedge: Sector—Technology/Health Care Index 6 HFRI Equity Hedge: Short Bias Index 7 HFRI Event-Driven (Total) Index 8 HFRI Event-Driven: Distressed/Restructuring Index 9 HFRI Event-Driven: Merger Arbitrage Index 10 HFRI Event-Driven: Private Issue/Regulation D Index 11 HFRI Macro (Total) Index 12 HFRI Macro: Systematic Diversified Index 13 HFRI Relative Value (Total) Index 14 HFRI Relative Value: Fixed Income—Asset Backed 15 HFRI Relative Value: Fixed Income—Convertible Arbitrage 16 HFRI Relative Value: Fixed Income—Corporate Index 17 HFRI Relative Value: Multi-Strategy Index 18 HFRI Relative Value: Yield Alternatives Index 19 HFRI Emerging Markets (Total) Index 20 HFRI Emerging Markets: Asia ex-Japan Index 21 HFRI Emerging Markets: Global Index 22 HFRI Emerging Markets: Latin America Index 23 HFRI Emerging Markets: Russia/Eastern Europe Index *Excludes fund of fund indexes, which combine multiple strategies.

., junk bonds, emerging market bonds) can lead to capital losses far greater than the yield differential earned. Note, for example, in Figure 4.4 the sustained negative returns in the HFR Fixed Income Corporate Index (an index of credit hedge funds) from mid-2007 through early 2009, coincident with the sharp widening of credit spreads. In these instances, credit risk and leverage risk will exhibit a negative synergistic effect, as the larger the leverage, the greater the credit investment losses. Figure 4.4 HFR Fixed Income Corporate Index Monthly Returns (Six-Month Average) versus Credit Spread (Moody’s Baa Yield Minus 10-Year Treasury Note Yield) In all these instances (except perhaps for market risk, where adverse periods may be more frequent), strategies prone to the foregoing event risks will exhibit relatively smooth performance and limited equity drawdowns during most periods, interspersed with occasional episodes of large drawdowns.

Statistical arbitrage involves highly frequent trading activity, with trades lasting between seconds and days. Fixed income arbitrage. This strategy seeks to profit from perceived mispricings between different interest rate instruments. Positions are balanced to maintain neutrality to changes in the broad interest rate level, but may express directional biases in terms of the yield curve—anticipated changes in the yield relationship between short-term, medium-term, and long-term interest rates. As an example of a fixed income arbitrage trade, if five-year rates were viewed as being relatively low versus both shorter- and longer-term rates, the portfolio manager might initiate a three-legged trade of long two-year Treasury notes, short five-year T-notes, and long 10-year T-notes, with the position balanced so that it was neutral to parallel shifts in the yield curve.

 

Commodity Trading Advisors: Risk, Performance Analysis, and Selection by Greg N. Gregoriou, Vassilios Karavas, François-Serge Lhabitant, Fabrice Douglas Rouah

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Asian financial crisis, asset allocation, backtesting, capital asset pricing model, collateralized debt obligation, commodity trading advisor, compound rate of return, constrained optimization, corporate governance, correlation coefficient, Credit Default Swap, credit default swaps / collateralized debt obligations, discrete time, distributed generation, diversification, diversified portfolio, dividend-yielding stocks, fixed income, high net worth, implied volatility, index arbitrage, index fund, interest rate swap, iterative process, linear programming, London Interbank Offered Rate, Long Term Capital Management, market fundamentalism, merger arbitrage, Mexican peso crisis / tequila crisis, p-value, Ponzi scheme, quantitative trading / quantitative finance, random walk, risk-adjusted returns, risk/return, Sharpe ratio, short selling, stochastic process, systematic trading, technology bubble, transaction costs, value at risk

Her published work has appeared in several peer-reviewed journals. Nicolas Papageorgiou is an Assistant Professor in the Department of Finance at the Hautes études commerciales (HEC), University of Montreal, Canada. His main research interests and publications deal with fixed income securities, specifically the pricing of structured products and the analysis of fixed income arbitrage strategies used by hedge fund managers. About the Authors xxi Dr. Papageorgiou has taught graduate-level courses in Canada and the U.K. and has presented at numerous academic and practitioner conferences in North America, Europe, and North Africa.

., which advises investment firms on derivatives strategies and risk management policy. Prior to Premia, Ms. Till was Chief of Derivatives Strategies at Boston-based Putnam Investments, where she was responsible for the management of all derivatives investments in domestic and international fixed income, tax-exempt fixed income, foreign exchange, and global asset allocation. Prior to Putnam Investments, Ms. Till was a Quantitative Equity Analyst at Harvard Management Company (HMC) in Boston, the investment management company for Harvard University’s endowment. She holds a B.A. in Statistics from the University of Chicago and a M.Sc. in Statistics from the London School of Economics.

They concluded that managed futures may offer some of the hedging properties of a put option at a lower cost.1 1Schneeweis and Spurgin (1998b) used a dollar-weighted index of CTAs published by Managed Account Reports (MAR). 338 PROGRAM EVALUATION, SELECTION, AND RETURNS Schneeweis and Spurgin (1998b) further presented evidence that hedge funds and managed futures may improve the risk-return profiles of equity, fixed income, as well as traditional alternative investments such as risky debt. Their findings were based on correlation analysis between the underlying factors of: ■ ■ ■ ■ Hedge fund indices from Hedge Fund Research and Evaluation Associates Capital Management (EACM) CTA indices (from MarHedge, Barclay Trading, and EACM) S&P 500 and MSCI World indices for equities Salomon Brothers Government Bond and World Government Bond indices for fixed income securities Kat (2002) studied the possible role of managed futures in portfolios of stocks, bonds, and hedge funds.

 

The Handbook of Personal Wealth Management by Reuvid, Jonathan.

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asset allocation, banking crisis, BRICs, collapse of Lehman Brothers, correlation coefficient, credit crunch, cross-subsidies, diversification, diversified portfolio, estate planning, financial deregulation, fixed income, high net worth, income per capita, index fund, interest rate swap, laissez-faire capitalism, land tenure, market bubble, merger arbitrage, new economy, Northern Rock, pattern recognition, Ponzi scheme, prediction markets, risk tolerance, risk-adjusted returns, risk/return, short selling, side project, sovereign wealth fund, statistical arbitrage, systematic trading, transaction costs, yield curve

Figure 1.1.4, Investment involvement, shows a broad representation of the types of services differentials that exist between discretionary and advisory approaches. _________________________________________________ THE EYE OF THE NEEDLE 11 ឣ HFs: Macro/Managed Futures 6.0% HFs: Equity Long/short 2.4% Fixed Income – Inv. Grade (International) 18.2% HFs: Relative Value/Event Driven 8.4% Fixed Income – Inv. Grade (Local) 10.2% Fixed Income – High Yield 2.1% Equity 52.6% 11.0 0% Illiquidity 10% Illiquidity 20% Illiquidity 30% Illiquidity Expected Return (%) 10.0 9.0 Model V Model IV Model III 8.0 Model II 7.0 6.0 Model I 5.0 For Illustration Only 4.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 Expected Standard Deviation (%) Source: Citi Private Bank as at December 2008 Figure 1.1.3 Illustration line of optimal portfolio ‘fits’ This is provided as a generic illustration only and differences between service offerings will vary.

Table 1.3.1 Performance of hedge fund indices in 2008 Strategy Net of fees year to date returns to 31 Oct 08 (USD) HFRI Fund Weighted Composite Index HFRI Equity Hedge (Total) Index HFRI EH: Equity Market Neutral Index HFRI EH: Quantitative Directional HFRI EH: Short Bias Index HFRI Event-Driven (Total) Index HFRI ED: Merger Arbitrage Index HFRI Macro (Total) Index HFRI Relative Value (Total) Index HFRI RV: Fixed Income–Asset Backed HFRI RV: Fixed Income–Convertible Arbitrage Index HFRI RV: Fixed Income–Corporate Index HFRI RV: Multi–Strategy Index –15.48 –22.49 –3.78 –19.04 21.18 –16.66 –5.37 5.55 –17.11 0.07 –35.06 –18.32 –20.69 ________________________________________________ HEDGE FUND STRATEGIES 33 ឣ Discretionary macro Discretionary macro is one of the few strategies that has posted positive performance in the year to date (end October 2008).

Keeping an eye on trading costs is also key as turnover is very high. Short-term CTAs must specialize in liquid markets, and often volatility and short-term trend reversals can aid performance; however rapid intrasession whipsawing may not be beneficial. Fixed income arbitrage This is an investment strategy that attempts to profit from mis-pricing in fixed income securities. Typically the arbitrageur will go long the under-priced security and short the over-priced security; a common trade is swap-spread arbitrage, which ឣ 28 PORTFOLIO INVESTMENT _________________________________________________ consists of taking opposing long and short positions in a swap and treasury bond.

 

How I Became a Quant: Insights From 25 of Wall Street's Elite by Richard R. Lindsey, Barry Schachter

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Albert Einstein, algorithmic trading, Andrew Wiles, Antoine Gombaud: Chevalier de Méré, asset allocation, asset-backed security, backtesting, bank run, banking crisis, Black-Scholes formula, Bonfire of the Vanities, Bretton Woods, Brownian motion, business process, buy low sell high, capital asset pricing model, centre right, collateralized debt obligation, corporate governance, correlation coefficient, Credit Default Swap, credit default swaps / collateralized debt obligations, currency manipulation / currency intervention, discounted cash flows, disintermediation, diversification, Emanuel Derman, en.wikipedia.org, Eugene Fama: efficient market hypothesis, financial innovation, fixed income, full employment, George Akerlof, Gordon Gekko, hiring and firing, implied volatility, index fund, interest rate derivative, interest rate swap, John von Neumann, linear programming, Loma Prieta earthquake, Long Term Capital Management, margin call, market friction, market microstructure, martingale, merger arbitrage, Nick Leeson, P = NP, pattern recognition, pensions crisis, performance metric, prediction markets, profit maximization, purchasing power parity, quantitative trading / quantitative finance, QWERTY keyboard, RAND corporation, random walk, Ray Kurzweil, Richard Feynman, Richard Feynman, Richard Stallman, risk-adjusted returns, risk/return, shareholder value, Sharpe ratio, short selling, Silicon Valley, six sigma, sorting algorithm, statistical arbitrage, statistical model, stem cell, Steven Levy, stochastic process, systematic trading, technology bubble, The Great Moderation, the scientific method, too big to fail, trade route, transaction costs, transfer pricing, value at risk, volatility smile, Wiener process, yield curve, young professional

It also helped me begin to understand how interest rate option models fit into the larger-risk model, and how investors used that model. But my knowledge of finance at that time was an inch wide and a mile deep. I knew the Cox, Ingersoll, Ross model in considerable detail. And that was almost all I knew in finance. In October 1987, after eight months at BARRA, I attended my first Fixed Income Research Seminar at Pebble Beach. I presented an optional session on my work. Richard instructed everyone to only let me talk to the most technically sophisticated clients. Although I could discuss technical details about option models, I would have struggled with more general questions. JWPR007-Lindsey May 7, 2007 16:30 38 h ow i b e cam e a quant Success in finance would require me to acquire much more intuition and insight into the basic problems faced by investors and to build up a toolkit for analyzing those problems.

Richard left BARRA at the end of 1992 to join Wells Fargo Nikko Investment Advisors, which later became Barclays Global Investors (BGI). My years as director of research at BARRA were fantastic in terms of my intellectual development. I worked on many interesting projects, including supervising the development of new equity, fixed income, and trading models. Beyond researching new BARRA products, I participated in numerous research studies that appeared as seminar presentations and subsequent articles. Andrew Rudd and I analyzed that ultimate question for investors: Does historical performance predict future performance?12 Our contributions included better quantitative applesto-apples comparisons of managers, and an analysis of whether any perceived persistence of performance could lead to an outperforming investment strategy.

So, I grabbed my own handful of napkins and proceeded to do the same, at which point he exclaimed, “Wow, I never saw anyone else do that before – I thought I was the only one!” I got the job. My work during that next year was incredibly rewarding. The focus of the fund was to create automated trading strategies and apply them to global futures markets, including commodities, equities, and fixed income. As long as it was a valid futures market, we traded it, regardless if the prices represented Eurodollar contracts or Red Azuki Beans. I spent a lot of time writing very complex code to create and backtest different types of trading strategies using daily futures data back to the 1940s. Oodles of data, challenging analyses, and lots of programming— this is exactly what I had been doing in physics for a dozen years, and I was groovin’.

 

pages: 345 words: 87,745

The Power of Passive Investing: More Wealth With Less Work by Richard A. Ferri

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asset allocation, backtesting, Bernie Madoff, capital asset pricing model, cognitive dissonance, correlation coefficient, Daniel Kahneman / Amos Tversky, diversification, diversified portfolio, endowment effect, estate planning, Eugene Fama: efficient market hypothesis, fixed income, implied volatility, index fund, Long Term Capital Management, passive investing, Ponzi scheme, prediction markets, random walk, Richard Thaler, risk tolerance, risk-adjusted returns, risk/return, Sharpe ratio, too big to fail, transaction costs, Vanguard fund, yield curve

Revisiting SPIVA Performance Studies Chapter 4 introduced the Standard & Poor’s Indices Versus Active (SPIVA) report. This study tracks one-, three-, and five-year active mutual fund performance across several different asset classes and is derived from a survivorship-bias-free database. The semiannual SPIVA report includes U.S. equity, U.S. real estate, U.S. fixed income, international equity, emerging markets equity, and international fixed income. The SPIVA report constantly reminds us that indexing has had remarkable success in all asset classes and style sectors over the years, albeit with varying results over different time periods. Over the long-term, index funds outperform the average active fund in every asset class, sector, and style.

Contents Foreword Preface Acknowledgments Part I: The Active Versus Passive Debate Chapter 1: Framing the Debate In the Beginning, There Were Active Funds Passive Investing Makes Its Case All about Indexes and Benchmarks The Portfolio Management Debate Summary Chapter 2: Early Performance Studies Cowles Commission Report The Quiet Period The Rise of Mutual Funds The Roaring 60s Summary Chapter 3: The Birth of Index Funds The First Indexed Portfolios The First Index Fund Summary Chapter 4: Advances in Fund Analysis The Early Years in Review Building on Success The Three Factor Model Three-Factor Analysis for Everyone Four-Factor Models and Beyond Does Anyone have Skill? Summary Chapter 5: Passive Choices Expand The Growth of Indexing The First Fixed Income Index Fund International Equity Index Funds Real Estate Investment Trusts U.S. Small Cap Revisiting SPIVA Performance Studies Active Management Invades Indexing Summary Chapter 6: Portfolios of Mutual Funds Efficient Portfolios Portfolio Choices The Bottom Line Is Your Bottom Line Summary Part II: Chasing Alpha and Changing Behavior Chapter 7: The Futility of Seeking Alpha All That’s Needed Is a Crystal Ball Past Performance as a Way to Predict Future Returns Fund Expenses as a Predictor of Top Performance Ratings as a Predictor of Top Performance Qualitative Factors as a Predictor of Top performance Summary Chapter 8: Active and Passive Asset Allocation Tactical Versus Strategic Mutual Fund Flows Show Bad Timing Measuring the Timing Gap Dumb Money versus Smart Money Putting It All Together Summary Chapter 9: Changing Investor Behavior Helping People Go Passive Three Non-Indexers Investing Is Serious Business Summary Part III: The Case for Passive Investing Chapter 10: The Passive Management Process The Five Step Process Investment Policy Statements Summary Chapter 11: The Passive Case for Individual Investors Begin at the End Estimating Future Obligations The Asset Side Matching Assets to Obligations Asset Allocation Risk!

It was an innovative idea that’s now widely read by investors and advisors, and results in interesting media commentary from believers in active investing and passive investing. The SPIVA scorecard compares the quarterly performance data of more than 3,500 actively managed mutual funds covering U.S. equities, international equities, and fixed income funds to their appropriate market benchmarks. The analysis includes size, style, and sector indices. This methodology is designed to provide an accurate and objective apples to apples comparison. The U.S. equity funds are segregated into 13 different categories including large cap, mid cap, and small cap indices.

 

pages: 374 words: 114,600

The Quants by Scott Patterson

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Albert Einstein, asset allocation, automated trading system, Benoit Mandelbrot, Bernie Madoff, Bernie Sanders, Black Swan, Black-Scholes formula, Bonfire of the Vanities, Brownian motion, buttonwood tree, buy low sell high, capital asset pricing model, centralized clearinghouse, Claude Shannon: information theory, cloud computing, collapse of Lehman Brothers, collateralized debt obligation, Credit Default Swap, credit default swaps / collateralized debt obligations, diversification, Donald Trump, Doomsday Clock, Emanuel Derman, Eugene Fama: efficient market hypothesis, fixed income, Gordon Gekko, greed is good, Haight Ashbury, index fund, invention of the telegraph, invisible hand, Isaac Newton, job automation, John Nash: game theory, law of one price, Long Term Capital Management, Louis Bachelier, mandelbrot fractal, margin call, merger arbitrage, NetJets, new economy, offshore financial centre, Paul Lévy, Ponzi scheme, quantitative hedge fund, quantitative trading / quantitative finance, race to the bottom, random walk, Renaissance Technologies, risk-adjusted returns, Rod Stewart played at Stephen Schwarzman birthday party, Ronald Reagan, Sergey Aleynikov, short selling, South Sea Bubble, speech recognition, statistical arbitrage, The Chicago School, The Great Moderation, The Predators' Ball, too big to fail, transaction costs, value at risk, volatility smile, yield curve, éminence grise

He was simply thrilled that he could write his dissertation and graduate. The money would come soon enough. In 1992, as Asness buckled down on his dissertation on momentum, he received an offer to work in the fixed-income group at Goldman Sachs. A small but growing division at Goldman, called Goldman Sachs Asset Management, was reaching out to bright young academics to build what would become one of the most formidable brain trusts on Wall Street. Asness’s first real job at Goldman was building fixed-income models and trading mortgage-backed securities. Meanwhile, he spent nights and weekends toiling away at his dissertation and thinking hard about a choice he’d have to make: whether to stay in academia or pursue riches on Wall Street.

Meriwether and his merry band of quants had been so successful, first at Salomon Brothers and then at LTCM, that bond trading desks across Wall Street, from Goldman Sachs to Lehman Brothers to Bear Stearns, were doing their level best to imitate their strategies. That ultimately spelled doom for LTCM, known by many as Salomon North. The first blow was a mere mosquito bite that LTCM barely felt. Salomon Brothers’ fixed-income arbitrage desk had been ordered to shut down by its new masters, Travelers Group, which didn’t like the risk they were taking on. As Salomon began to unwind its positions—often the very same positions held by LTCM—Meriwether’s arbitrage trades started to sour. It set off a cascade as computer models at firms with similar positions, alerted to trouble, spat out more sell orders.

The more Asness thought about it, the more it seemed like a bad idea. Then he met a man with the ideal set of skills to help launch a hedge fund: David Kabiller. David Kabiller had been something of a wanderer among Goldman’s ranks since he’d joined the bank in a summer training program in 1986. He’d worked in fixed income, equities, and pension services. He first met Asness as a liaison between institutional investors and GSAM, which managed money for outside clients in addition to running proprietary funds for Goldman itself. Kabiller, who’s something of a mix between a Wall Street financier and car salesman, was quick to notice that Global Alpha was raking in money.

 

pages: 566 words: 155,428

After the Music Stopped: The Financial Crisis, the Response, and the Work Ahead by Alan S. Blinder

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Affordable Care Act / Obamacare, asset-backed security, bank run, banking crisis, banks create money, Carmen Reinhart, central bank independence, collapse of Lehman Brothers, collateralized debt obligation, conceptual framework, corporate governance, Credit Default Swap, credit default swaps / collateralized debt obligations, Detroit bankruptcy, diversification, double entry bookkeeping, eurozone crisis, facts on the ground, financial innovation, fixed income, friendly fire, full employment, hiring and firing, housing crisis, Hyman Minsky, illegal immigration, inflation targeting, interest rate swap, Isaac Newton, Kenneth Rogoff, liquidity trap, London Interbank Offered Rate, Long Term Capital Management, market bubble, market clearing, market fundamentalism, McMansion, moral hazard, naked short selling, new economy, Nick Leeson, Northern Rock, Occupy movement, offshore financial centre, price mechanism, quantitative easing, Ralph Waldo Emerson, Robert Shiller, Robert Shiller, Ronald Reagan, shareholder value, short selling, South Sea Bubble, statistical model, the payments system, time value of money, too big to fail, working-age population, yield curve, Yogi Berra

Just as the fundamentals for, say, stocks and houses are often improving as a bubble inflates, the same is true of bonds and other fixed-income securities. During prosperous times, default rates drop to very low levels. Investors then deduce that rational interest-rate spreads over Treasuries—just enough to compensate lenders for the default risks they bear—should also drop to very low levels. The trouble is, how low is low? Markets sometimes get carried away. DEFAULT RISK AND INTEREST-RATE SPREADS One key respect in which fixed-income securities differ is their risk of default. There is no such risk on U.S. government securities.

It was the kind of thinking that led to the bond-market bubble. As investors shifted out of Treasuries into riskier fixed-income securities—whether Columbian government bonds or MBS backed by subprime mortgages—those riskier securities were bid up in price, and hence down in yield. You had to pay more to buy the same stream of interest payments. So what was once, say, a 150-basis-point reward for bearing more risk became a 100-basis-point reward, or maybe just a 50-basis-point reward. Investors’ response to dwindling yields on fixed-income securities was to try to magnify their yields by going for more leverage—which is the second item on my list of villains.

The rating agencies had called Bear’s creditworthiness into question. Several notable counterparties, including Citigroup and JP Morgan Chase, had pulled away from it. Warren Spector, Bear’s top expert on the firm’s exotic fixed-income positions, had been purged, leaving Schwartz, an investment banker who was gamely trying to acquire bond-market expertise in a hurry, in charge. But as one of Bear’s top fixed-income executives put it, his crash course “was like Bonds 101.” On Monday, March 10, 2008, rumors—vigorously denied by the company—began to circulate that Bear Stearns was experiencing liquidity problems. Other rumors held that one or more of its Wall Street rivals was spreading the rumors—it’s a tough crowd.

 

pages: 339 words: 109,331

The Clash of the Cultures by John C. Bogle

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asset allocation, collateralized debt obligation, corporate governance, corporate social responsibility, Credit Default Swap, credit default swaps / collateralized debt obligations, diversification, diversified portfolio, estate planning, Eugene Fama: efficient market hypothesis, financial innovation, financial intermediation, fixed income, Flash crash, Hyman Minsky, income inequality, index fund, interest rate swap, invention of the wheel, market bubble, market clearing, mortgage debt, new economy, Occupy movement, passive investing, Ponzi scheme, principal–agent problem, profit motive, random walk, rent-seeking, risk tolerance, risk-adjusted returns, Robert Shiller, Robert Shiller, shareholder value, short selling, South Sea Bubble, statistical arbitrage, The Wealth of Nations by Adam Smith, transaction costs, Vanguard fund, William of Occam

Perhaps even more significantly, bond index funds as a group now claim a record high 17 percent market share among taxable bond funds—$370 billion of the $2.4 trillion total. What’s more, during 2011, bond index funds accounted for fully 40 percent of the investor cash flow into taxable fixed-income funds as a group. This penetration is a harbinger that the trend toward bond indexing will continue to strengthen, just as has the trend toward stock indexing. This accelerating trend confirms what Peter Fisher, talented head of the fixed-income group for giant global money manager BlackRock, has observed: “We’re moving to the second phase of the index revolution. The world is a frightening, uncertain place, and investors want to make their (bond) portfolios much simpler so they can sleep at night.”

The good news is that many of the new funds were bond funds and money market funds, which for decades have provided generous premium yields over stocks and also over traditional bank savings accounts, where yields were constrained by federal government regulation until 1980. Today, of course, these generous yields have disappeared. But these new “fixed-income” funds provided more stable portfolio values and offered access to sectors of the financial market not previously available to most families. The bad news is that in the equity fund sector of the industry, the massive proliferation of so many untested strategies (and often untested managers) resulted in confusion for investors.

Since the SEC would not accept the notion that an index fund could own a relatively small number of individual bonds and hope to closely replicate the performance of an index that included 4,000 bonds, the Commission staff would not permit our use of the name Vanguard Bond Index Fund. We had been laying the groundwork for a bond index fund during much of 1986, but the final inspiration—this is true!—came when Forbes magazine, writing about the second-rate returns and high costs of most fixed-income mutual funds, expressed the crying need for a low-cost bond index fund. A Second Cri de Coeur The magazine plaintively asked, “Vanguard, where are you when we need you?” Thus, yet another cri de coeur—an echo of the plea of Paul Samuelson a decade earlier for a stock index fund—provided the final impetus.

 

pages: 311 words: 99,699

Fool's Gold: How the Bold Dream of a Small Tribe at J.P. Morgan Was Corrupted by Wall Street Greed and Unleashed a Catastrophe by Gillian Tett

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accounting loophole / creative accounting, asset-backed security, bank run, banking crisis, Black-Scholes formula, Bretton Woods, business climate, collateralized debt obligation, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, diversification, easy for humans, difficult for computers, financial innovation, fixed income, housing crisis, interest rate derivative, interest rate swap, locking in a profit, Long Term Capital Management, McMansion, mortgage debt, North Sea oil, Northern Rock, Renaissance Technologies, risk tolerance, Robert Shiller, Robert Shiller, short selling, sovereign wealth fund, statistical model, The Great Moderation, too big to fail, value at risk, yield curve

Second, in the autumn of 2005, the bank implemented a major review of its fixed-income business, hiring consultants from McKinsey and Oliver Wyman. On the advice of this review, the bank’s senior management decided to expand the securitization business. On paper, UBS did not seem well placed to make the move. Though the bank’s asset management group had already been investing in American mortgage products for several years, it did not have its own mortgage-lending operation. To make matters worse, when Costas created the new hedge fund, he took 120 of the bank’s staff with him, including many of the firm’s fixed-income specialists. However, that did not deter UBS’s senior management.

As business boomed, the swaps department basked in the knowledge that it was producing an ever-increasing share of the bank’s profits. By the early 1990s, it accounted for almost half the bank’s trading revenues, and Hancock had been promoted to run not just the derivatives group but also the entire department it was part of, known as fixed income. He was considered a prime candidate for CEO. A few months before the Boca off-site, a reporter from Fortune asked Hancock to explain how a complicated swap might work, and his response reaffirmed for her that derivatives traders were “like the spacecraft Galileo, heading for planet Jupiter.” “It would be something,” Hancock apparently said, “in which you get beyond binary risk and into a combination of risks, such as interest rates and currencies.

It was becoming increasingly clear—just as Hancock and Demchak had long complained—that the bank’s level of profitability was lagging behind its rivals’, and these losses were a body blow. Warner decided to throw his weight behind the value of credit derivatives business. He gave Hancock responsibility for managing not just the fixed-income business, but the commercial lending department, too. That was a radical move for staid J.P. Morgan, since almost no other Western bank had ever tried to combine lending, bonds, and derivatives into a single group before. Then Hancock handed responsibility for managing the loan book to Demchak.

 

pages: 265 words: 93,231

The Big Short: Inside the Doomsday Machine by Michael Lewis

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Asperger Syndrome, asset-backed security, collateralized debt obligation, Credit Default Swap, credit default swaps / collateralized debt obligations, diversified portfolio, facts on the ground, financial innovation, fixed income, forensic accounting, Gordon Gekko, high net worth, housing crisis, illegal immigration, income inequality, index fund, interest rate swap, London Interbank Offered Rate, Long Term Capital Management, medical residency, moral hazard, mortgage debt, pets.com, Ponzi scheme, Potemkin village, quantitative trading / quantitative finance, short selling, Silicon Valley, too big to fail, value at risk, Vanguard fund

The subprime mortgage market in its current incarnation never had done anything but rise. The people in it who were regarded as successes were those who had always said "buy." Now they should really all be saying "sell," but they didn't know how to do it. "You always knew that fixed income guys thought they knew more than you did," said Eisman, "and generally that was true. I wasn't a fixed income guy, but here I'd taken this position that was a bet against their whole industry, and I wanted to know if they know something I don't. Could it really be this obvious? Could it really be this simple?" He entered private meetings with the lenders and the bankers and the rating agencies probing for an intelligence he had yet to detect.

The original cast of subprime financiers had been sunk by the small fraction of the loans they made that they had kept on their books. The market might have learned a simple lesson: Don't make loans to people who can't repay them. Instead it learned a complicated one: You can keep on making these loans, just don't keep them on your books. Make the loans, then sell them off to the fixed income departments of big Wall Street investment banks, which will in turn package them into bonds and sell them to investors. Long Beach Savings was the first existing bank to adopt what was called the "originate and sell" model. This proved such a hit--Wall Street would buy your loans, even if you would not!

In the fog of the first eighteen months of running his own business, Eisman had an epiphany, an identifiable moment when he realized he'd been missing something obvious. Here he was, trying to figure out which stocks to pick, but the fate of the stocks depended increasingly on the bonds. As the subprime mortgage market grew, every financial company was, one way or another, exposed to it. "The fixed income world dwarfs the equity world," he said. "The equity world is like a fucking zit compared to the bond market." Just about every major Wall Street investment bank was effectively run by its bond departments. In most cases--Dick Fuld at Lehman Brothers, John Mack at Morgan Stanley, Jimmy Cayne at Bear Stearns--the CEO was a former bond guy.

 

pages: 225 words: 11,355

Financial Market Meltdown: Everything You Need to Know to Understand and Survive the Global Credit Crisis by Kevin Mellyn

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asset-backed security, bank run, banking crisis, Bernie Madoff, bonus culture, Bretton Woods, collateralized debt obligation, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, cuban missile crisis, disintermediation, diversification, fiat currency, financial deregulation, financial innovation, financial intermediation, fixed income, Francis Fukuyama: the end of history, global reserve currency, Home mortgage interest deduction, Isaac Newton, joint-stock company, liquidity trap, London Interbank Offered Rate, margin call, market clearing, moral hazard, mortgage tax deduction, Northern Rock, offshore financial centre, paradox of thrift, pattern recognition, pension reform, pets.com, Plutocrats, plutocrats, Ponzi scheme, profit maximization, pushing on a string, reserve currency, risk tolerance, risk-adjusted returns, road to serfdom, Ronald Reagan, shareholder value, Silicon Valley, South Sea Bubble, statistical model, The Great Moderation, the payments system, too big to fail, value at risk, very high income, War on Poverty, Y2K, yield curve

The buyer of a bond has a need for future income and is willing to put up money for it today. So the bond buyer is really buying a series of fixed interest payments that The Financial Market Made Simple might continue for many years, and even in a few cases forever. That is why investment bankers call the bond business ‘‘fixed income.’’ The rate of interest is often referred to as the ‘‘coupon,’’ referring to the time when bonds were printed with paper coupons that had to be cut out and presented to the bond issuers when each interest payment fell due. That is why the idle rich are still sometimes referred to as ‘‘coupon clippers.’’

However, great fortunes have been amassed by canny investors like Warren Buffett in the equity markets of the world. Such investors are a kind of celebrity in some circles. Both the upside and the downside of equity investing are pretty much unbounded. Stocks offer real excitement and feed our dreams of riches. They are a bet on the future. Bonds by contrast offer ‘‘fixed income.’’ Stocks versus Bonds That contrast is why, in the short run, the prices for stocks and bonds tend to move in opposite directions. Markets are always in flux between fear and greed. When people are optimistic about the future prospects of the economy, fear takes a back seat. Stock markets become convinced that the prices of almost all shares can only go higher.

What you are not told is that over that period most of the total growth in the value of stock market took place on a handful of days. Most of the losses took place in a few days during sudden panics and sell-offs. The averages over a century tell you almost nothing. If you missed the upswings and were caught in a big downdraft, you would have done better in fixed income. The point is that all financial instruments involve risk/reward tradeoffs. There are no safe bets that have big upsides. Because the risk/reward tradeoffs of stocks and bonds are never ideal for either issuers or investors, the markets have over the years developed ‘‘hybrid’’ classes of financial instruments that are neither debt nor equity instruments.

 

pages: 413 words: 117,782

What Happened to Goldman Sachs: An Insider's Story of Organizational Drift and Its Unintended Consequences by Steven G. Mandis

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algorithmic trading, Berlin Wall, bonus culture, BRICs, business process, collapse of Lehman Brothers, collateralized debt obligation, complexity theory, corporate governance, Credit Default Swap, credit default swaps / collateralized debt obligations, crony capitalism, disintermediation, diversification, Emanuel Derman, financial innovation, fixed income, friendly fire, Goldman Sachs: Vampire Squid, high net worth, housing crisis, London Whale, Long Term Capital Management, merger arbitrage, new economy, passive investing, performance metric, risk tolerance, Ronald Reagan, Saturday Night Live, shareholder value, short selling, sovereign wealth fund, The Nature of the Firm, too big to fail, value at risk

Then I returned to M&A, rising to the head of the hostile raid defense business (defending a company from unsolicited take-overs—one of the cornerstones of Goldman’s M&A brand and reputation) and becoming business unit manager of the M&A department. Finally, I ended up as a proprietary trader and ultimately portfolio manager in the fixed income, commodities, and currencies division (FICC)—similar to an internal hedge fund—managing Goldman’s own money. My rotations to a different geographic region and through different divisions were typical at the time for a certain percentage of selected employees in order to train people and unite the firm.

The resignations caused people to think more about themselves, their own interests, and their own personal ambitions—and materialism began to grow.16 With Friedman’s sudden resignation and no succession plan, a fierce power struggle ensued, increasing the instability and prompting personal reflection. Corzine, a trader in the FICC department who also had a CFO-type role (which at the time was typically the head of fixed income and chief risk allocator), aggressively announced to the management committee that he wanted to be senior partner (and be given the title of CEO) and for Paulson to be the number two, with the title of COO. In recent memory there had always been co-head senior partners, reflecting a culture of teamwork.

Morgan, respectively. Certain Goldman client-oriented sales and trading desks had “proprietary trading” operations. They got to see client order flow, but theoretically they existed to provide liquidity or “facilitate client trades.” This was prevalent in less liquid, more opaque products and desks, especially fixed-income securities like high-yield bonds, where it may not have been easy to immediately match a buyer and a seller. It was also prevalent in relatively lightly regulated markets such as foreign exchange. Generally, proprietary trading on client-oriented sales and trading desks was less frequent in highly transparent and highly regulated areas such as equities.

 

pages: 272 words: 19,172

Hedge Fund Market Wizards by Jack D. Schwager

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asset-backed security, backtesting, banking crisis, barriers to entry, Bernie Madoff, Black-Scholes formula, British Empire, Claude Shannon: information theory, cloud computing, collateralized debt obligation, commodity trading advisor, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, delta neutral, diversification, diversified portfolio, family office, financial independence, fixed income, Flash crash, hindsight bias, implied volatility, index fund, James Dyson, Long Term Capital Management, margin call, market bubble, market fundamentalism, merger arbitrage, oil shock, pattern recognition, pets.com, Ponzi scheme, private sector deleveraging, quantitative easing, quantitative trading / quantitative finance, risk tolerance, risk-adjusted returns, risk/return, riskless arbitrage, Sharpe ratio, short selling, statistical arbitrage, Steve Jobs, systematic trading, technology bubble, transaction costs, value at risk, yield curve

I thought that economic conditions couldn’t get any better. 5 Anyone who had a pulse had a job, equity markets were at their highs, and yet we were not generating any inflation. If we were not generating inflation under those conditions, then what would happen if we started to slow at the margins? I was so focused on the long fixed-income trade that for the first three or four years of the fund, probably two-thirds of the trades were in fixed-income. Was it the topping of the equity market in early 2000 that got you long in fixed-income? The break in equities was definitely the catalyst for the fixed-income trade, but the trade was going to happen anyway. I use the fundamentals to have a directional bias, and I use the technicals to confirm that bias. Once I had the catalyst, I could say that yields should never again see their previous high.

We watched the markets very carefully, and in early 2008, I transferred a vast proportion of the firm’s money into two-year treasury notes. I got rid of all the money market funds. I put all the traders into a wind down of counterparty exposure. We dumped outright exposure to every bank possible and went maximum long fixed income. The systematic trend-following strategy was consistently moving into a similar position. It started reversing from long to short in equities and commodities and going hugely long in fixed income. Again, it was all the same trade, wasn’t it? So when the market meltdown hit later in 2008, you were positioned perfectly. In 2008, BlueCrest made the most amount of money for its investors in its history up to that point.

No, I didn’t because the repercussions of the top were a lot easier to play than being short the Nasdaq itself. You had a broad bubble in assets. The U.S. economy had been built up by a massive mispricing of assets. Once the Nasdaq burst and everything unraveled, it was clear the economy would slow down. The economic downturn led to a big move in fixed income that provided a much calmer way to play that idea than a direct trade in equities. So rather than consider the short side of the Nasdaq, you traded the long side of the bonds. That’s right. Are there any current examples of markets that are in euphoria-driven states that are running counter to fundamentals?

 

pages: 77 words: 18,414

How to Kick Ass on Wall Street by Andy Kessler

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Andy Kessler, Bernie Madoff, buttonwood tree, call centre, collateralized debt obligation, family office, fixed income, hiring and firing, invention of the wheel, invisible hand, London Whale, margin call, NetJets, Nick Leeson, pets.com, risk tolerance, Silicon Valley, sovereign wealth fund, time value of money, too big to fail, value at risk

But there is no exchange. These are negotiated transactions. It’s you against the client, even though you are providing a service for the client. Your job is to get the best price for your firm. Some view this as screwing the client. Very confusing for outsiders. Here is a quote from Bloomberg News: Unlike equities, fixed-income trades typically are privately negotiated outside exchanges, increasing the fees traders collect by making bids and offers because they’re more difficult to execute. To make markets in debt securities, banks typically risk their own capital to buy assets from clients before lining up someone else to sell them to, sometimes making bets on the direction of markets.

Every day there is some tough deal to get done. A block of shares to cross, a cleanup print to complete, a hot corporate client to reel in, a mispriced corporate bond to buy, a gamey stock deal to get done. The thing about finance is that it’s all numbers. Everything has a price. Companies that are hot have high prices. Fixed income paper that is safe have low yields. Pieces of shit have low prices. You have to think of everything in terms of its price. When a deal comes out that no one likes, it usually because the price is too high. The best way to turn a piece of shit into a Picasso is to lower the price. Don’t ever forget that.

Almost everyone on Wall Street gets paid a modest draw, modest by Wall Street means anyway, maybe $100K, maybe $150K, sometimes more, sometimes less. The rest of compensation is paid as a bonus out of that ginormous bonus pool. Usually, after the Big Kahunas at the top take their huge cut, smaller bonus pools are allocated by division, capital markets, fixed income, investment banking etc. And even then, after the co-heads of these divisions take two bonuses when probably one would do, it is allocated further to distinct trading desks and groups. That is the pool you are fighting for. Everything you have ever done to generate revenue, bring in new clients, being a hero on this deal or that will come into play.

 

pages: 130 words: 11,880

Optimization Methods in Finance by Gerard Cornuejols, Reha Tutuncu

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asset allocation, call centre, constrained optimization, correlation coefficient, diversification, finite state, fixed income, frictionless, frictionless market, index fund, linear programming, Long Term Capital Management, passive investing, Sharpe ratio, transaction costs, value at risk, Y2K

We consider a universe of 5 asset classes: large cap growth stocks, large cap value stocks, small cap growth stocks, small cap value stocks, and fixed income securities. To represent each asset class, we use a monthly log-return time series of corresponding market indices: Russell 1000 growth and value indices for large cap stocks, Russell 2000 growth and value indices for small cap stocks, and Lehman Brothers US Intermediate Government/Credit Bond index for fixed income securities. Lehman Brothers U.S. Intermediate Government/Credit Bond Index is an unmanaged index generally representative of government and investment-grade corporate securities with maturities of 1-10 years.

Figure 7.1 depicts the standard efficient frontier obtained by using the 50 percentile values for expected returns and covariances as inputs and the composition of the portfolios on the efficient frontier. Lowest risk efficient portfolios are obtained, as expected, using the fixed income securities. As one moves along the efficient frontier toward the efficient portfolio with the highest expected return, fixed income securities are gradually replaced by a mixture of large-cap and small-cap value stocks. Close to the high-return end of the frontier, large-cap stocks are also phased out and one gets a portfolio consisting entirely of small cap value stocks.

How are they related to (5.2)?) 2. Implement the returns-based style analysis approach to determine the effective asset mix of your favorite mutual fund. Use the following asset classes as your “factors”: Large growth stocks, large value stocks, small growth stocks, small value stocks, international stocks, and fixed income investments. You should obtain time series of returns representing these asset classes from on-line resources. You should also obtain a corresponding time series of returns for the mutual fund you picked for this exercise. Solve the problem using 30 periods of data (i.e., T = 30). 3. Classification problems are among the important classes of problems in financial mathematics that can be solved using optimization models and techniques.

 

pages: 444 words: 86,565

Investment Banking: Valuation, Leveraged Buyouts, and Mergers and Acquisitions by Joshua Rosenbaum, Joshua Pearl, Joseph R. Perella

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asset allocation, asset-backed security, bank run, barriers to entry, capital asset pricing model, collateralized debt obligation, corporate governance, credit crunch, discounted cash flows, diversification, fixed income, London Interbank Offered Rate, performance metric, shareholder value, sovereign wealth fund, technology bubble, time value of money, transaction costs, yield curve

The most recent 10-K and 10-Q for the period ending prior to the announcement date typically serve as the source for the necessary information to calculate the target’s LTM financial statistics and balance sheet data. In some cases, the banker may use a filing after announcement if the financial information is deemed more relevant. The 10-K and 10-Q are also relied upon to provide information on the target’s shares outstanding and options/warrants.66 Equity and Fixed Income Research Equity and fixed income research reports often provide helpful deal insight, including information on pro forma adjustments and expected synergies. Furthermore, research reports typically provide color on deal dynamics and other circumstances. Private Targets A private target (i.e., a non-public filer) is not required to publicly file documentation in an M&A transaction as long as it is not subject to SEC disclosure requirements.

Toward this end, the banker is encouraged to read and study as much company- and sector-specific material as possible. The actual selection of comparable companies should only begin once this research is completed. For targets that are public registrants,4 annual (10-K) and quarterly (10-Q) SEC filings, consensus research estimates, equity and fixed income research reports, press releases, earnings call transcripts, investor presentations,5 and corporate websites provide key business and financial information. Private companies present a greater challenge as the banker is forced to rely upon sources such as corporate websites, sector research reports, news runs, and trade journals for basic company data.

In the event the banker is starting from scratch, we suggest searching through M&A databases, examining the M&A history of the target and its comparable companies, and reviewing merger proxies of comparable companies for lists of selected comparable acquisitions disclosed in the fairness opinions. Equity and fixed income research reports for the target (if public), its comparable companies, and overall sector may also provide lists of comparable acquisitions, including relevant financial data (for reference purposes only).As part of this process, the banker seeks to learn as much as possible regarding the specific circumstances and deal dynamics of each transaction.

 

pages: 219 words: 15,438

The Essays of Warren Buffett: Lessons for Corporate America by Warren E. Buffett, Lawrence A. Cunningham

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compound rate of return, corporate governance, Dissolution of the Soviet Union, diversified portfolio, dividend-yielding stocks, fixed income, index fund, invisible hand, large denomination, low cost carrier, oil shock, passive investing, price stability, Ronald Reagan, the market place, transaction costs, Yogi Berra, zero-coupon bond

The point you should keep in mind is that most of the value of our convertible preferreds is derived from their fixed-income characteristics. That means the securities cannot be worth less than the value they would possess as non-convertible preferreds and may be worth more because of their conversion options. 116 CARDOZO LAW REVIEW [Vol. 19:1 Berkshire made five private purchases of convertible preferred stocks during the 1987-91 period and the time seems right to discuss their status. In each case we had the option of sticking with these preferreds as fixed-income securities or converting them into common stock. Initially, their value to us came primarily from their fixedincome characteristics.

Bob Wilmers, CEO of the company, is an outstanding banker, and we love being associated with him. Our other two preferreds have been disappointing, though the Salomon preferred has modestly outperformed the fixed-income securities for which it was a substitute. However, the amount of management time Charlie and I have devoted to this holding has been vastly greater than its economic significance to Berkshire. Certainly I never dreamed I would take a new job at age 60-Salomon interim chairman, that is-because of an earlier purchase of a fixed-income security. 118 CARDOZO LAW REVIEW [Vol. 19:1 Soon after our purchase of the Salomon preferred in 1987, I wrote that I had "no special insights regarding the direction or future profitability of investment banking."

Nor will the returns be as attractive as those produced when we make our favorite form of capital deployment, the acquisition of 80% or more of a fine business with a fine management. But both opportunities are rare, particularly in a size befitting our present and anticipated resources. In summation, Charlie and I feel that our preferred stock investments should produce returns moderately above those achieved by most fixed-income portfolios and that we can play a minor but enjoyable and constructive role in the investee companies. Mistakes occur at the time of decision. We can only make our mistake-du-jour award, however, when the foolishness of a decision becomes obvious. By this measure, 1994 was a vintage year with keen competition for the gold medal.

 

pages: 444 words: 151,136

Endless Money: The Moral Hazards of Socialism by William Baker, Addison Wiggin

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Andy Kessler, asset allocation, backtesting, bank run, banking crisis, Berlin Wall, Bernie Madoff, Black Swan, Branko Milanovic, Bretton Woods, BRICs, business climate, capital asset pricing model, corporate governance, correlation does not imply causation, credit crunch, Credit Default Swap, crony capitalism, cuban missile crisis, currency manipulation / currency intervention, debt deflation, Elliott wave, en.wikipedia.org, Fall of the Berlin Wall, feminist movement, fiat currency, fixed income, floating exchange rates, Fractional reserve banking, full employment, German hyperinflation, housing crisis, income inequality, index fund, inflation targeting, Joseph Schumpeter, laissez-faire capitalism, land reform, liquidity trap, Long Term Capital Management, McMansion, moral hazard, mortgage tax deduction, naked short selling, offshore financial centre, Ponzi scheme, price stability, pushing on a string, quantitative easing, RAND corporation, rent control, reserve currency, riskless arbitrage, Ronald Reagan, school vouchers, seigniorage, short selling, Silicon Valley, six sigma, statistical arbitrage, statistical model, Steve Jobs, The Great Moderation, the scientific method, time value of money, too big to fail, upwardly mobile, War on Poverty, Yogi Berra, young professional

Through the founding of the Fed, also in 1913, the United States government regained the ability to print money extensively, which led to inflation that undercut the value of the dollar by nearly 50 percent over the ensuing three years. This eroded the purchasing power of those who bought some $17 billion of Liberty Bonds or otherwise lived on fixed income streams. (For comparison, nominal GDP had been about $32 billion in the 1907-1911 period.) While gold could still be demanded in exchange for dollars, an inconvenient check on government, during the interwar years creditors and debtors would become more apt to expand their balance sheets by pyramiding paper atop gold reserves.

When in October the stock market followed the credit market into the abyss, the lights flickered off. Despite unparalleled intervention, well into 2009 there remains a huge standoff between borrowers and lenders, and an inability for most market participants to comprehend why market prices for fixed income securities could sink below rationally computed values. The U.S. economy is creaking under the weight of public and private debt that reached 364 percent of GDP in 2008, up from 267 percent 10 years earlier and 188 percent 25 years previously. This is well above levels for the last century, including the Depression-era when the denominator, economic output, collapsed.

The Fed’s swapping out good assets for bad is the first step outlined in Bernanke’s 2002 speech, and it is clever in that it simply resets the clock for banks as if they had not made bad loans in the first place. When this remedy was applied in early 2008, the monetary base did not rise initially as a result, although it was hoped that the stimulation might catch on and expand money creation in banks and in the fixed income securities market. The crux of the problem can be seen clearly from the perspective of the financial institutions being rescued. To allude to the freezing pond allegory sketched out in the beginning of this book, the credit markets may have been melted loose by the Fed’s pouring salt on the ice, but the overall weather conditions remain the same.

 

pages: 351 words: 102,379

Too big to fail: the inside story of how Wall Street and Washington fought to save the financial system from crisis--and themselves by Andrew Ross Sorkin

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affirmative action, Asian financial crisis, Berlin Wall, collateralized debt obligation, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, Fall of the Berlin Wall, fear of failure, fixed income, Goldman Sachs: Vampire Squid, housing crisis, indoor plumbing, invisible hand, London Interbank Offered Rate, Long Term Capital Management, margin call, market bubble, Mikhail Gorbachev, moral hazard, NetJets, Northern Rock, oil shock, paper trading, risk tolerance, rolodex, Ronald Reagan, savings glut, shareholder value, short selling, sovereign wealth fund, supply-chain management, too big to fail, value at risk, éminence grise

The firm had made a commitment and it was going to stick with it. Gregory made a circuit to rally the troops. “This is going to be temporary,” he told Lehman colleagues. “We’re going to fight through this.” 049 As both Gregory and Fuld were fixed-income traders at heart, they weren’t entirely up to speed on how dramatically that world had changed since the 1980s. Both had started in commercial paper, probably the sleepiest, least risky part of the firm’s business. Fixed-income trading was nothing like Fuld and Gregory knew in their day: Banks were creating increasingly complex products many levels removed from the underlying asset. This entailed a much greater degree of risk, a reality that neither totally grasped and showed remarkably little interest in learning more about.

To criticize the firm’s direction was to be branded a traitor and tossed out the door. Among those who tried to sound the alarm was Michael Gelband, who had been Lehman’s head of fixed-income trading for two years and had known Gregory for two decades. In late 2006, in a discussion with Fuld about his bonus, Gelband remarked that the good times were about to hit a rough patch, for which the firm was not well positioned. “We’re going to have to change a lot of things,” he warned. Fuld, looking unhappy, said little in reply. The fixed-income guys had been spending a lot of time talking about the train wreck that awaited the U.S. economy. In February 2007, Larry McCarthy, Lehman’s top distressed-debt trader, had delivered a presentation to his group in which he laid out a dire scenario.

Goldman had decided to make a major push into trading bonds, commodities, and currencies, and to take on larger risks. The firm had been a pioneer in commercial paper and a leader in municipal finance, but remained an also-ran in fixed income, compared with Salomon Brothers and others. Winkelman and Jon Corzine overhauled that part of the business and recruited talent from Salomon. Impressed by Blankfein’s well-honed diplomacy and his obvious intelligence, Winkelman placed him in charge of six salesmen in currency trading and, later, the entire unit. Robert Rubin, who then ran fixed income with Stephen Friedman, was opposed to the move. “We’ve never seen it work to put salespeople in charge of trading in other areas of the firm,” Rubin told Winkelman.

 

pages: 1,042 words: 266,547

Security Analysis by Benjamin Graham, David Dodd

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asset-backed security, backtesting, barriers to entry, capital asset pricing model, carried interest, collateralized debt obligation, collective bargaining, corporate governance, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, diversification, diversified portfolio, fear of failure, financial innovation, fixed income, full employment, index fund, invisible hand, Joseph Schumpeter, locking in a profit, Long Term Capital Management, low cost carrier, moral hazard, mortgage debt, p-value, risk-adjusted returns, risk/return, secular stagnation, shareholder value, The Chicago School, the market place, the scientific method, The Wealth of Nations by Adam Smith, transaction costs, zero-coupon bond

The securities performed as promised, of course, but there were a couple of developments that Graham and Dodd did not and could not foresee. First and foremost were the ravaging effects of inflation in the late 1970s and early 1980s. The inflationary spiral ultimately led to higher interest rates and large losses for bond investors. Second was the expansion of the fixed income markets and the proliferation of innumerable fixed income securities that created opportunities for value investing in the bond market for those willing to sift through vast numbers of similar instruments in search of anomalous pricing. Graham and Dodd advised profit-seeking investors, both large and small, to purchase securities trading below their intrinsic value, and they suggested that investors submit their analytical work for critique by others.

In a sense the market and the future present the same kind of difficulties. Neither can be predicted or controlled by the analyst, yet his success is largely dependent upon them both. The major activities of the investment analyst may be thought to have little or no concern with market prices. His typical function is the selection of high-grade, fixed-income-bearing bonds, which upon investigation he judges to be secure as to interest and principal. The purchaser is supposed to pay no attention to their subsequent market fluctuations, but to be interested solely in the question whether the bonds will continue to be sound investments. In our opinion this traditional view of the investor’s attitude is inaccurate and somewhat hypocritical.

While this approach is hallowed by tradition, it is open to several serious objections. Of these the most obvious is that it places preferred stocks with common stocks, whereas, so far as investment practice is concerned, the former undoubtedly belong with bonds. The typical or standard preferred stock is bought for fixed income and safety of principal. Its owner considers himself not as a partner in the business but as the holder of a claim ranking ahead of the interest of the partners, i.e., the common stockholders. Preferred stockholders are partners or owners of the business only in a technical, legalistic sense; but they resemble bondholders in the purpose and expected results of their investment. 2.

 

pages: 236 words: 77,735

Rigged Money: Beating Wall Street at Its Own Game by Lee Munson

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affirmative action, asset allocation, backtesting, barriers to entry, Bernie Madoff, Bretton Woods, buy low sell high, California gold rush, call centre, Credit Default Swap, diversification, diversified portfolio, estate planning, fiat currency, financial innovation, fixed income, Flash crash, follow your passion, German hyperinflation, High speed trading, housing crisis, index fund, joint-stock company, moral hazard, passive investing, Ponzi scheme, price discovery process, random walk, risk tolerance, risk-adjusted returns, risk/return, too big to fail, trade route, Vanguard fund, walking around money

My job was to figure out what the money was supposed to do for him and what type of risk he was interested in taking—or budgeting, as I call it. He quickly said, “I am an income investor.” To me, that means a person that needs a high rate of income to live off of his portfolio. At this point the average stockbroker would have enough information to start putting together a list of fixed-income securities that are appropriate for a gentleman of that age. Once the box is checked, any movement is frowned upon. Why? Look at it this way, if you change a client’s profile as a broker, you may have done it wrong in the first place or are simply changing it to fit the product being sold that day.

SPDR Barclays Capital High Yield Bond ETF (JNK) may be the worst bond strategy of all time. Now that I have your attention, let’s break down the major issues with junk bonds, and more specifically ETFs that trade baskets of those bonds. Don’t worry, there is a place for these ugly ducklings, but they are not for those trying to get fixed income risk and return. If that doesn’t keep you reading, nothing will. The junk bond market developed by Michael Milken in the 1980s is predominately a U.S. phenomenon, though they exist anywhere there is tradable debt. Simply stated, they are bonds with a poor rating. Most notably, junk bonds have higher credit risk and illiquidity, but also higher interest payments—as long as they keep paying.

I thought inflation and bond declines would have happened by now, but with trillions of extra dollars in the system, the bull run received a shot in the arm. One of the primary reasons for including bonds in a portfolio is the diversification factor, coupled with income generation. That said, how is an investor supposed to commit large allocations of capital in fixed income ETFs with that sinking feeling that this 30-year party may be over? MLPs are neither stock nor bond, but they can be an alternative to a portfolio seeking diversification and income outside of traditional asset classes. If you were thinking of buying higher-volatility bond ETFs like HYG, JNK, or PFD, read on and find another way to capture higher risk return and diversification.

 

pages: 350 words: 103,270

The Devil's Derivatives: The Untold Story of the Slick Traders and Hapless Regulators Who Almost Blew Up Wall Street . . . And Are Ready to Do It Again by Nicholas Dunbar

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asset-backed security, bank run, banking crisis, Basel III, Black Swan, Black-Scholes formula, bonus culture, capital asset pricing model, Carmen Reinhart, Cass Sunstein, collateralized debt obligation, Credit Default Swap, credit default swaps / collateralized debt obligations, delayed gratification, diversification, Edmond Halley, facts on the ground, financial innovation, fixed income, George Akerlof, implied volatility, index fund, interest rate derivative, interest rate swap, Isaac Newton, Kenneth Rogoff, Long Term Capital Management, margin call, market bubble, Nick Leeson, Northern Rock, offshore financial centre, price mechanism, regulatory arbitrage, rent-seeking, Richard Thaler, risk tolerance, risk/return, Ronald Reagan, shareholder value, short selling, statistical model, The Chicago School, time value of money, too big to fail, transaction costs, value at risk, Vanguard fund, yield curve

For the Love of the Game When I first met Osman Semerci, in January 2007, he was beaming with pleasure. It was not just the $20 million bonus he had recently been awarded that caused him to glow with self-satisfaction as he flashed million-dollar smiles while sharing a celebratory dinner with a gaggle of his tuxedo-clad colleagues. As the dapper, Turkish-born head of fixed income, currencies, and commodities at Merrill Lynch cracked jokes, he was proudly clutching a phallic, hard-plastic trophy with the logo of the trade magazine I worked for honoring his firm as “House of the Year.” By this time, my professional life had become synced with the annual cycle of the bonus season.

Most of the journalists present still thought of the investment bank in terms of its stellar reputation for advising companies and governments on privatizations and takeovers, but I was introduced to a man lurking on the sidelines, a rising star at the firm. Michael Sherwood had just become European head of FICC (fixed income, currencies, and commodities), perhaps Goldman’s least understood but most profitable division. Trading—derivatives in particular—was his forte. When credit derivatives were invented in the mid-1990s, Goldman held back. But once the utility of the new tools had been demonstrated, Sherwood became the firm’s leading default swap visionary.

The newly invented tool was going to lead to the “derivatization of credit,” he would tell colleagues. He believed the market approach to buying, selling, and owning corporate bonds had a massive disadvantage to the much more transparent markets in equities. If you like the prospects of a company, say, Walmart, an equity trader only has to look at one type of security: Walmart’s stock. In fixed income, a company might have hundreds of different bonds in the market, repayable in different currencies, and with myriad maturity dates and interest payment profiles. Which one should you buy or sell? You had to be a geek to figure it out. With credit default swaps, all that detail could be stripped away.

 

Quantitative Trading: How to Build Your Own Algorithmic Trading Business by Ernie Chan

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algorithmic trading, asset allocation, automated trading system, backtesting, Black Swan, Brownian motion, business continuity plan, compound rate of return, Elliott wave, endowment effect, fixed income, general-purpose programming language, index fund, Long Term Capital Management, loss aversion, p-value, paper trading, price discovery process, quantitative hedge fund, quantitative trading / quantitative finance, random walk, Ray Kurzweil, Renaissance Technologies, risk-adjusted returns, Sharpe ratio, short selling, statistical arbitrage, statistical model, systematic trading, transaction costs

For example, the Canadian dollar/Australian dollar (CAD/AUD) cross-currency rate is quite stationary, both being commodities currencies. Numerous pairs of futures as well as well as fixed-income instruments can be found to be cointegrating as well. (The simplest examples of cointegrating futures pairs are calendar spreads: long and short futures contracts of the same underlying commodity but different expiration months. Similarly for fixed-income instruments, one can long and short bonds by the same issuer but of different maturities.) FACTOR MODELS Financial commentators often say something like this: “The current market favors value stocks,” “The market is focusing on earnings growth,” or “Investors are paying attention to inflation numbers.”

Since the actual returns distributions have fat tails, one should be quite wary of using too much leverage on normally low-beta stocks. SUMMARY This book has been largely about a particular type of quantitative trading called statistical arbitrage in the investment industry. Despite this fancy name, statistical arbitrage is actually far simpler than trading derivatives (e.g., options) or fixed-income instruments, both conceptually and mathematically. I have described a large part of the statistical arbitrageur’s standard arsenal: mean reversion and momentum, regime switching, stationarity and cointegration, arbitrage pricing theory or factor model, seasonal trading models, and, finally, high-frequency trading.

Some of the toolboxes useful to quantitative traders are the optimization, partial differential equations P1: JYS app JWBK321-Chan 168 September 24, 2008 14:13 Printer: Yet to come APPENDIX (for derivative traders), genetic algorithms, statistics, neural networks, signal processing, wavelet, financial, financial derivatives, GARCH, financial times series, datafeed, and fixed-income toolboxes. If these toolboxes are too costly, or if they still do not meet all your needs, there are also a number of free user-contributed toolboxes available for download from the Internet. I have introduced one of them in this book: the Econometrics toolbox developed by James LeSage (www.spatial-econometrics.com).

 

Mathematical Finance: Core Theory, Problems and Statistical Algorithms by Nikolai Dokuchaev

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Black-Scholes formula, Brownian motion, buy low sell high, discrete time, fixed income, implied volatility, incomplete markets, martingale, random walk, short selling, stochastic process, stochastic volatility, transaction costs, volatility smile, Wiener process, zero-coupon bond

A similar approach can be used for the case of random r. Remember that, in our generic setting, we called the risk-free investment a bond, and it was considered as a riskfree investment. In reality, there are many different bonds (or fixed income securities). In fact, they are risky assets, similarly to stocks (discussed in the next section). If r is random, then the market can be made complete by including additional fixed income securities. © 2007 Nikolai Dokuchaev Continuous Time Market Models 101 5.12 A generalization: multistock markets Similarly, we can consider a multistock market model, when there are N stocks. Let {Si(t)} be the vector of the stock prices.

(Hint: consider first N=2 and Ti≥T.) 5.13 Bond markets Bonds are being sold an initial time for a certain price, and the owners are entitled to obtain certain amounts of cash (higher than this initial price) in fixed time (we restrict our consideration to zero-coupon bonds only). Therefore, the owner can have fixed income. Typically, there are many different bonds on the market with different times of maturity, and they are actively traded, so the analysis of bonds is very important for applications. For the bond-and-stock market models introduced above, we refer to bonds as a riskfree investment similar to a cash account.

© 2007 Nikolai Dokuchaev Mathematical Finance 104 The last feature (iii) has explicit economical sense: there are many different bonds (since bonds with different maturities represent different assets) but their evolution depends on few factors only, and the main factors are the ones that describe the evolution of r(t). The multistock market model can be used as a model for a market with many different bonds (or fixed income securities). Assume that we are using a multistock market model described above as the model for bonds (i.e., Si(t) are the bond prices). Feature (iii) can be expressed as the condition that σij(t)≡0 for all j>n,=1,…, N, where n is the number of driving Wiener processes, N is the number of bonds, N>>n.

 

pages: 741 words: 179,454

Extreme Money: Masters of the Universe and the Cult of Risk by Satyajit Das

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affirmative action, Albert Einstein, algorithmic trading, Andy Kessler, Asian financial crisis, asset allocation, asset-backed security, bank run, banking crisis, banks create money, Basel III, Benoit Mandelbrot, Berlin Wall, Bernie Madoff, Big bang: deregulation of the City of London, Black Swan, Bonfire of the Vanities, bonus culture, Bretton Woods, BRICs, British Empire, capital asset pricing model, Carmen Reinhart, carried interest, Celtic Tiger, clean water, cognitive dissonance, collapse of Lehman Brothers, collateralized debt obligation, corporate governance, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, Daniel Kahneman / Amos Tversky, debt deflation, Deng Xiaoping, deskilling, discrete time, diversification, diversified portfolio, Doomsday Clock, Emanuel Derman, en.wikipedia.org, Eugene Fama: efficient market hypothesis, eurozone crisis, Fall of the Berlin Wall, financial independence, financial innovation, fixed income, full employment, global reserve currency, Goldman Sachs: Vampire Squid, Gordon Gekko, greed is good, happiness index / gross national happiness, haute cuisine, high net worth, Hyman Minsky, index fund, interest rate swap, invention of the wheel, invisible hand, Isaac Newton, job automation, Johann Wolfgang von Goethe, joint-stock company, Joseph Schumpeter, Kenneth Rogoff, Kevin Kelly, labour market flexibility, laissez-faire capitalism, load shedding, locking in a profit, Long Term Capital Management, Louis Bachelier, margin call, market bubble, market fundamentalism, Marshall McLuhan, Martin Wolf, merger arbitrage, Mikhail Gorbachev, Milgram experiment, Mont Pelerin Society, moral hazard, mortgage debt, mortgage tax deduction, mutually assured destruction, Naomi Klein, Network effects, new economy, Nick Leeson, Nixon shock, Northern Rock, nuclear winter, oil shock, Own Your Own Home, pets.com, Plutocrats, plutocrats, Ponzi scheme, price anchoring, price stability, profit maximization, quantitative easing, quantitative trading / quantitative finance, Ralph Nader, RAND corporation, random walk, Ray Kurzweil, regulatory arbitrage, rent control, rent-seeking, reserve currency, Richard Feynman, Richard Feynman, Richard Thaler, risk-adjusted returns, risk/return, road to serfdom, Robert Shiller, Robert Shiller, Rod Stewart played at Stephen Schwarzman birthday party, rolodex, Ronald Reagan, Ronald Reagan: Tear down this wall, savings glut, shareholder value, Sharpe ratio, short selling, Silicon Valley, six sigma, Slavoj Žižek, South Sea Bubble, special economic zone, statistical model, Stephen Hawking, Steve Jobs, The Chicago School, The Great Moderation, the market place, the medium is the message, The Myth of the Rational Market, The Nature of the Firm, The Predators' Ball, The Wealth of Nations by Adam Smith, Thorstein Veblen, too big to fail, trickle-down economics, Turing test, Upton Sinclair, value at risk, Yogi Berra, zero-coupon bond

The next day, JR will be crowned Hedge Fund of the Year and Hedge Fund Manager of the Year at the all-star gala Global Finance Forum. Mailer’s bank is also getting an award—Fixed Income House of the Year. Mailer bought that prize of course. The idea behind industry awards is that clients and peers vote on who is the best. A dealer voted best “something in something somewhere” uses it prominently to solicit clients. Polling is supposedly anonymous and independent. Like democracy, the process is obscure. Mailer “heard” that his bank would be crowned Fixed Income House of the Year. If this were correct, he explained to the magazine arranging the awards, then he would buy a platinum sponsorship of the award event (cost $100,000) and take a full-page ad (cost $40,000).

I am in London to brief Mailer’s bank on conditions in credit markets. Mailer ruminates on my gloomy prognostications, drains his drink, and tries to order another. The bartender has trouble understanding Mailer’s Bostonian rolled vowels and laryngeal consonants. When I first met Mailer, he introduced himself as: “Mailer Stevenson. Managing director. Fixed income. Graduate School of Business, Chicago.” Mailer then worked at a white-shoe Wall Street firm. Used to describe pedigreed investment banks, “white shoe” is a reference to “white bucks,” a laced suede or buckskin shoe once popular among upper-class, Ivy League-trained bankers. Losing out in the internecine wars that break out periodically in investment banks, Mailer moved to London to lead the trading operations of Euro Swiss Bank (ESB), a major European bank.

Author Rita Hatton pointed out that The Physical Impossibility of Death in the Mind of Someone Living was both an aquarium and a tourist attraction.3 JR was rumored to have commissioned Hirst to create an installation for its new offices, using white pointer sharks, a feared large predator. Retreat The bad blood between Mailer and JR dates to Mailer’s time as the head of fixed income at ESB. Each year, the bank held its Global Strategy Session (GSS) at Versailles. Sceptics referred to it secretly as the God Sun King Speaketh. Eduard Keller, the young, urbane, and snappily dressed chief executive of ESB, was the Sun King. Keller, a former management consultant, knew little about banking.

 

pages: 43 words: 11,160

Best Places to Retire: The Top 15 Affordable Towns for Retirement on a Budget (Retirement Books) by Clayton Geoffreys

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fixed income

We get used to having a stable source of income and cash inflow when we are still working and once we retire, all of that can change drastically. It's important that we make plans or a chart for our monthly or weekly expenses during retirement. Money can be depleted easily if all you do is spend without keeping a close watch. Be sure to list down all of your fixed expenses (groceries, food, rent, and taxes) based on your fixed income or asset. What Do You Do with Your Personal Savings? People immediately jump to the conclusion that their entire life savings are limitless, but unless you have invested some of your finances elsewhere, then there is a big chance that your life savings are going to run out in time. Instead, try to search for retirement savings accounts in your area.

However, it does not stop there, because it’s best to look at other choices as you might be able to find a more suitable place than the one you are looking at right now. There are costs and expenses in everything so be sure to keep your savings and expenditures in check. It’s ideal to match your fixed income or fixed assets along with your fixed expenses to make sure that you will not fall into financial trouble. Also, when you withdraw money from your retirement savings, keep it at a diminutive amount, around 2% per annum or if you retired at a much later age like 70, you can increase it to 4% or 6% per annum.

 

pages: 349 words: 134,041

Traders, Guns & Money: Knowns and Unknowns in the Dazzling World of Derivatives by Satyajit Das

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accounting loophole / creative accounting, Albert Einstein, Asian financial crisis, asset-backed security, Black Swan, Black-Scholes formula, Bretton Woods, BRICs, Brownian motion, business process, buy low sell high, call centre, capital asset pricing model, collateralized debt obligation, complexity theory, corporate governance, Credit Default Swap, credit default swaps / collateralized debt obligations, cuban missile crisis, currency peg, disintermediation, diversification, diversified portfolio, Eugene Fama: efficient market hypothesis, financial innovation, fixed income, Haight Ashbury, high net worth, implied volatility, index arbitrage, index card, index fund, interest rate derivative, interest rate swap, Isaac Newton, job satisfaction, locking in a profit, Long Term Capital Management, mandelbrot fractal, margin call, market bubble, Marshall McLuhan, mass affluent, merger arbitrage, Mexican peso crisis / tequila crisis, moral hazard, mutually assured destruction, new economy, New Journalism, Nick Leeson, offshore financial centre, oil shock, Parkinson's law, placebo effect, Ponzi scheme, purchasing power parity, quantitative trading / quantitative finance, random walk, regulatory arbitrage, risk-adjusted returns, risk/return, shareholder value, short selling, South Sea Bubble, statistical model, technology bubble, the medium is the message, time value of money, too big to fail, transaction costs, value at risk, Vanguard fund, volatility smile, yield curve, Yogi Berra, zero-coupon bond

Buffet is the ‘Oracle of Omaha’. In 2003 Buffet took aim at derivatives, calling them ‘financial weapons of mass destruction’.1 He was joined in this crusade by a few notable figures. A significant fellow-traveller was Bill Gross, who managed PIMCO’s (one of the world’s largest investment management companies) vast fixed income fund. Their complaint seemed to be that derivative contracts had DAS_C02.QXP 8/7/06 20 4:22 PM Page 20 Tr a d e r s , G u n s & M o n e y hidden losses that would eventually emerge. This would affect the banks and insurance companies who traded in these instruments. They were concerned that derivatives allowed companies and investors to gamble with other people’s money.

This takes the form of a random brutal execution of a formerly trusted associate for no plausible reason. It has no purpose other than to engender fear in the remaining followers. The major court game is ‘divide and conquer’, with the ruler playing their people off against each other. In one case, the head of fixed income promised his job to all seven lieutenants, simultaneously (I was one of those to whom the job was promised). It all ends in a palace coup d’état then the cycle just repeats itself. Uncivil wars Overlaps between units abound. One bank once espoused a Maoist philosophy – ‘Let many flowers bloom’.

Nero is a large man, about as wide as he is tall; another of his nicknames was ‘slug’. The older man had been asking his colleague, ‘What did the big fat whale say?’ Perhaps the most embarrassing cross-cultural incident involved a trader visiting Japan. He thought it might be useful to have his business cards translated into Japanese. His official title was ‘Trader–Fixed Income’. The Japanese translation was ‘Trader on Fixed Salary’. The card brought strange looks from the bemused Japanese clients. It seemed more than a little was lost in translation. A day in the life Recently, I had lunch with Steve; we had known each other a long time; we had worked together and afterwards had kept in touch.

 

pages: 459 words: 118,959

Confidence Game: How a Hedge Fund Manager Called Wall Street's Bluff by Christine S. Richard

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Asian financial crisis, asset-backed security, banking crisis, Bernie Madoff, cognitive dissonance, collateralized debt obligation, corporate governance, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, diversification, Donald Trump, family office, financial innovation, fixed income, forensic accounting, glass ceiling, Long Term Capital Management, market bubble, moral hazard, Ponzi scheme, profit motive, short selling, statistical model, white flight

By late 2007, confidence in one financial institution after another cratered on fears they weren’t admitting the full extent of their losses, including those on massive portfolios of super-senior CDOs. “Anything else before we end for the day?” the other attorney asked. Ackman seized his chance. “It is worth remembering,” Ackman said, “that every Wall Street firm does a huge amount of business with the bond insurers, including MBIA, Ambac, and FSA. Frankly, the fixed-income markets are what have saved investment-banking profits, because the IPO [initial public offering] market is basically gone. That means MBIA might just be the biggest business generator on Wall Street,” Ackman added. “No one wants me to be right on MBIA.” The SEC attorneys told Ackman they’d be happy to hear his concerns about MBIA if he wanted to come back at a later date.

He described how the incentives to securitize and sell mortgages created enormous moral hazard in the mortgage market, how faulty structures allowed billions of dollars of doomed securities to be built out of the riskiest parts of bonds, and how small losses on $100 billion portfolios of collateralized-debt obligations (CDOs) could wipe out a bond insurer’s entire capital base. He also reviewed other issues specific to the insurance department’s role in overseeing the bond insurers, such as how bond insurers were engaging in prohibited credit-default swaps (CDSs) and how MBIA’s growing fixed-income arbitrage business amounted to a disguised dividend from its regulated insurance subsidiary. Ackman argued that Dinallo couldn’t stand by and allow the credit-rating companies to usurp the department’s role as the de facto regulator of bond insurers. The ABX index referencing triple-B-rated subprime mortgage bonds indicated investors expected to recover just 65 cents on the dollar for those bonds before the credit-rating companies began to downgrade the debt, he said.

There was strong demand for bond insurance, and the premiums that insurers could command in the current market had improved, said Patrick Kelly, head of CDOs and structured products at MBIA. “We want to take advantage of the current situation where we can, even in the ABS CDO market,” Kelly said. “We also want to avoid getting stuffed with the risk that people are just looking to get off their own books.” THREE WEEKS LATER, on August 24, 2007, Merrill Lynch’s head of fixed income, Osman Semerci, along with three other executives from Merrill, boarded a helicopter for the short flight to MBIA’s Armonk headquarters. Janet Tavakoli, a CDO guru who runs her own structured finance research firm in Chicago, later dubbed Merrill Lynch’s last-ditch effort to dump toxic securities on MBIA the “Apocalypse Now helicopter ride,” a reference to the scene in the Francis Ford Coppola movie in which U.S. helicopters level a Vietcong village while blaring Wagner’s highly dramatic “Ride of the Valkyries.”

 

pages: 422 words: 113,830

Bad Money: Reckless Finance, Failed Politics, and the Global Crisis of American Capitalism by Kevin Phillips

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algorithmic trading, asset-backed security, bank run, banking crisis, Bernie Madoff, Black Swan, Bretton Woods, BRICs, British Empire, collateralized debt obligation, computer age, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, crony capitalism, currency peg, diversification, Doha Development Round, energy security, financial deregulation, financial innovation, fixed income, Francis Fukuyama: the end of history, George Gilder, housing crisis, Hyman Minsky, imperial preference, income inequality, index arbitrage, index fund, interest rate derivative, interest rate swap, Joseph Schumpeter, Kenneth Rogoff, large denomination, Long Term Capital Management, market bubble, Martin Wolf, Menlo Park, mobile money, Monroe Doctrine, moral hazard, mortgage debt, new economy, oil shale / tar sands, oil shock, peak oil, Plutocrats, plutocrats, Ponzi scheme, profit maximization, Renaissance Technologies, reserve currency, risk tolerance, risk/return, Robert Shiller, Robert Shiller, Ronald Reagan, shareholder value, short selling, sovereign wealth fund, The Chicago School, Thomas Malthus, too big to fail, trade route

Yes, the profits had indeed been huge. JPMorgan Chase estimated that in 2006, banks globally brought in $30 billion from their asset-backed securities business, and Bloomberg News later surmised that securitized products produced one-fifth of bank revenues during the preceding decade. In 2008, the fixed-income research firm CreditSights Inc. estimated that over-the-counter sales of derivatives accounted for as much as 40 percent of the profits of firms like Goldman Sachs and Morgan Stanley.13 However, the potential vulnerabilities were mind boggling. Back in 1993, the notional or nominal value of U.S. derivative instruments had been some $14 trillion.

Banks, in particular, could use these initially cheap pseudo-insurance policies as wraparounds to upgrade their speculative investments to triple-A, respecting which the bank in question would not have to hold collateral. This allowed banks to leverage themselves to the hilt and shrug off low assets quality—“we’re insured, aren’t we?” High returns drove the marketing. “It was a quest for yield,” said Don Kowalchik, fixed-income strategist at St. Louis-based A.G. Edwards. “As soon as you get all of these synthetic products based on other products, it’s a cancer that refuses to stop spreading.”15 Nonspecialist readers who have gotten this far may be starting to chuckle. Between 2001 and 2008, according to Bloomberg News, credit default swaps surged from a notional value of $681 billion to a notional value of $62 trillion.

Like digital buccaneers, and hardly more restrained than their seventeenth-century predecessors, they arbitraged the nooks and crannies of global finance, capturing even more return on capital than casino operators made from one-armed bandits and favorable gaming-table odds. As the mortgage markets seized up in mid-2007, shrewd players understood the virginity of the terrain. Jack Malvey, the chief global fixed-income strategist for Lehman Brothers, explained: “This is what we would characterize as the first correction of the neo-credit market. We’ve never had a correction with these types of institutions and these types of instruments.”3 Others distilled the doubts about hedge funds themselves—the exotic quantitative mathematics, the obscure language of fixed-leg features and two-step binomial trees, and the humongous bank loans needed for the fifteen- or twenty-to-one leverage that alchemized mere decimal points into financial Olympic gold medals.

 

pages: 447 words: 104,258

Mathematics of the Financial Markets: Financial Instruments and Derivatives Modelling, Valuation and Risk Issues by Alain Ruttiens

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algorithmic trading, asset allocation, asset-backed security, backtesting, banking crisis, Black Swan, Black-Scholes formula, Brownian motion, capital asset pricing model, collateralized debt obligation, correlation coefficient, Credit Default Swap, credit default swaps / collateralized debt obligations, delta neutral, discounted cash flows, discrete time, diversification, fixed income, implied volatility, interest rate derivative, interest rate swap, margin call, market microstructure, martingale, p-value, passive investing, quantitative trading / quantitative finance, random walk, risk/return, Sharpe ratio, short selling, statistical model, stochastic process, stochastic volatility, time value of money, transaction costs, value at risk, volatility smile, Wiener process, yield curve, zero-coupon bond

BAILLIE, Patrick C. McMAHON, The Foreign Exchange Market, Theory and Econometric Evidence, Cambridge University Press, 1990, 276 p. Patrick J. BROWN, Bond Markets: Structures and Yield Calculations, ISMA Publications, 1998, 96 p. Frank FABOZZI, The Handbook of Fixed Income Securities, McGraw-Hill, 7th ed., 2005, 1500 p. Frank FABOZZI, Fixed Income Mathematics, McGraw-Hill, 4th ed., 2005, 600 p. Imad A. MOOSA, Razzaque H. BHATTI, The Theory and Empirics of Exchange Rates, World Scientific Publishing Company, 2009, 512 p. Lucio SARNO, Mark TAYLOR, The Economics of Exchange Rates, Cambridge University Press, 2003, 330 p.

Darrell DUFFIE, Security Markets: Stochastic Models, Academic Press Inc, 1988, 250 p. E. ELTON, M. GRUBER, S. BROWN, W. GOETZMANN, Modern Portfolio Theory and Investments Analysis, John Wiley & Sons, Inc., Hoboken, 2006, 752 p. R.F. ENGLE, D.L. McFADDEN (eds) Handbook of Econometrics, Elsevier, 1994. Frank FABOZZI, The Handbook of Fixed Income Securities, McGraw-Hill, 7th ed., 2005, 1500 p. Frank FABOZZI, Fixed Income Mathematics, McGraw-Hill, 4th ed., 2005, 600 p. Frank J. FABOZZI, Anand K. BHATTACHARYA, William S. BERLINER, Mortgage-Backed Securities: Products, Structuring and Analytical Techniques, John Wiley & Sons, Inc., Hoboken, 2007, 336 p. Frank J. FABOZZI, Roland FUSS, Dieter G.

BIGLOVA, “Desirable properties of an ideal risk measure in portfolio theory”, International Journal of Theoretical and Applied Finance, 2005. 3 This third component can be viewed as the “correlation” term, in the calculation of a variance or standard deviation for two different assets (σP2 = w12 σ22 + w22 σ22 + 2ρw1w2σ1σ2), and expresses to what extent both impacts are more or less opportunely combined. 4 See for example Mathieu CUBILIE, “Fixed income attribution model”, The Journal of Performance Measurement, Winter 2005/2006, pp. 46–63. 5 This ratio is also called “Gamma”. 6 See for example A. BERNARDO, O. LEDOIT, “Gain, loss and asset pricing”, The Journal of Political Economy, Jan 2000, pp. 144–172. 7 This section is partly inspired from Philippe JORION, Financial Risk Manager Handbook, 5th ed., 2009, John Wiley & Sons, Inc., Hoboken, and Moorad CHOUDHRY, An Introduction to Value-at-Risk, 4th ed., 2006, John Wiley & Sons, Ltd, Chichester. 8 To make a more precise calculation, the width of the bins should be narrower than 0.5%, as used here. 9 The 2510 returns used for the example present a kurtosis of 7.81 and a skewness of −0.10. 10 In the initial basic example, the only risk factor was the price change of the exposure in S&P 500. 11 A.

 

pages: 212 words: 70,224

How to Retire the Cheapskate Way by Jeff Yeager

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asset allocation, car-free, employer provided health coverage, estate planning, financial independence, fixed income, pez dispenser, rent control, ride hailing / ride sharing, risk tolerance, Ronald Reagan, Zipcar

Because I don’t write traditional personal finance books, I always feel compelled to give readers a few words of advance warning about what to expect. As I often say: I don’t write books about how to get rich; I write books about how to get happy, perhaps with what you already have. That seems to me to be the real key to enjoying life, particularly when it comes to enjoying retirement, when many will be living on a fixed income. So by way of warning, if you’re looking for a book about retirement investing—particularly magical ways to hatch an ostrich-size retirement nest egg overnight without working or planning for it—this isn’t that book. The good news is, most books written about retirement focus almost exclusively on investing, so go pick up one of those books instead.

That means you’ll need an annual income of $51,000 in your first year of retirement, with cost-of-living increases factored in going forward. Like nearly three-quarters of all Americans today, you’re not lucky enough to have a traditional pension provided by your employer(s), one that would guarantee you an income stream for life. Nor do you have any annuities to provide additional fixed income. So the only income other than what you draw from your 401(k) and other savings will be Social Security, which, based on your work history, you calculate will be about $1,700 per month, or $20,400 per year. That leaves a difference of $30,600 per year to be made up from your nest egg. Assuming you withdraw 3 percent annually from your nest egg, that means—you guessed it—you need roughly ONE MILLION DOLLARS ($1,020,000, to be exact) in retirement savings in order to generate the level of income the experts insist you’ll need to live on in retirement.

Most respondents said yes, their non-healthcare-related spending has definitely decreased—even dramatically so—with age. The interesting thing, though, was some of the reasons, stories, and explanations readers gave regarding this phenomenon: “Yes, I am getting cheaper the older I get. I think I am getting ready to live on a fixed income.” (Wendy L. Dietze, 60) “I believe I have become more frugal with age, at least on some things. I bring my lunch to work and have my own coffeepot at work to brew my own instead of buying it anywhere. On the other hand, I have a daughter in a private kindergarten, a new car payment, and other bills that make me become more frugal on these sorts of things.”

 

pages: 289 words: 77,532

The Secret Club That Runs the World: Inside the Fraternity of Commodity Traders by Kate Kelly

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Bakken shale, bank run, Credit Default Swap, diversification, fixed income, Gordon Gekko, index fund, locking in a profit, London Interbank Offered Rate, Long Term Capital Management, margin call, paper trading, peak oil, Ponzi scheme, risk tolerance, Ronald Reagan, side project, Silicon Valley, sovereign wealth fund, supply-chain management, the market place

Banks everywhere were relying on commodity traders to help them survive the rout in mortgage-backed securities and the resultant setbacks in other markets. At Goldman Sachs, which reported fixed-income revenues of $3.71 billion for that year and $22 billion overall, commodities contributed more than $3 billion. Even at other banks with smaller, less profitable commodities units, the trading of raw materials was a major help. Among the top ten investment banks, commodities on average made up 14 percent of their combined total fixed-income revenue. Morgan and Goldman tended to top the list, with Barclays, JPMorgan, Bank of America, and others following behind. Bank commodities units made money in three ways.

In 1990, he advised the National Football League on the sale of its broadcast rights to television networks over the coming four years. (One of Gensler’s tactics, which involved withholding the rights to broadcast the 1994 Super Bowl, helped net the league a record $3.6 billion package.) He had also worked overseas, relocating in 1993 to Tokyo, where he ran the Asian branch of Goldman’s sprawling fixed-income, or bond, division. The job put him in close proximity to a major financial scandal: a series of futures contract trades at the Singapore office of the UK-based Barings Bank on the direction of the Japanese stock market and certain interest rates that ultimately brought Barings down. For Gensler, who knew little about such contract markets before living in Tokyo, it was an education in the perils of trading complex products across borders during times of market stress.

THE BANKS once used by the energy company Texaco: Elsa Brenner, “Morgan Stanley Seals Deal on Texaco Headquarters,” New York Times, March 31, 2002, http://www.nytimes.com/2002/03/31/nyregion/in-business-morgan-stanley-seals-deal-on-texaco-headquarters.html. after the terrorist attacks: Ibid. 14 percent of their combined total fixed-income revenue: “Coalition Index—2012,” Coalition Development Ltd., February 2013. a quarter of Goldman’s pretax income: Gregory Zuckerman and Susanne Craig, “To Weather Rocky Period, Goldman Makes Riskier Bets,” Wall Street Journal, December 17, 2002, http://online.wsj.com/news/articles/SB1040074780804862913

 

pages: 206 words: 70,924

The Rise of the Quants: Marschak, Sharpe, Black, Scholes and Merton by Colin Read

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Albert Einstein, Black-Scholes formula, Bretton Woods, Brownian motion, capital asset pricing model, collateralized debt obligation, correlation coefficient, Credit Default Swap, credit default swaps / collateralized debt obligations, David Ricardo: comparative advantage, discovery of penicillin, discrete time, Emanuel Derman, en.wikipedia.org, Eugene Fama: efficient market hypothesis, financial innovation, fixed income, floating exchange rates, full employment, Henri Poincaré, implied volatility, index fund, Isaac Newton, John von Neumann, Joseph Schumpeter, Long Term Capital Management, Louis Bachelier, margin call, market clearing, martingale, means of production, moral hazard, naked short selling, price stability, principal–agent problem, quantitative trading / quantitative finance, RAND corporation, random walk, risk tolerance, risk/return, Ronald Reagan, shareholder value, Sharpe ratio, short selling, stochastic process, The Chicago School, the scientific method, too big to fail, transaction costs, tulip mania, Works Progress Administration, yield curve

Indeed, in 1976, Merton and Scholes teamed up to create the world’s first such instrument in the USA, the Money Market/Options Fund. Options can also be used to protect against a declining yield on a fixed income security. Alternatively, an investor can book some profits immediately in the security by selling a call on a bond. If the bond price rises above a certain level, the seller of the call must sacrifice the underlying bond and in turn sacrifice the gain above the exercise price, but is able to book some profit with certainty. Assuming that these fixed-income options are properly priced in an efficient market, we can even calculate the implied volatility by solving the Black-Scholes equation for the volatility necessary to generate the prevailing price.

Both Merton and Scholes also supervised graduate students and consulted with mutual fund and investment houses part time. On many occasions, they had the chance to work with John Meriwether, the influential and successful investment director of Salomon Brothers, a significant employer of MIT finance graduates. The investment house’s proprietary algorithms for the trading of fixed-income securities employed Black-Scholes-Merton models that had been modified and extended in-house to earn arbitrage profits for Salomon Brothers. For ten years, from 1978 to 1987, Merton continued to explore issues of risk bearing and sharing, but increasingly from an institutional perspective. During this period, he served as the President of the American Finance Association, and explored measures of market efficiency.

He also received a Doctor of Management Science (Honoris Causa) degree from National Sun Yat-Sen University in 1998, a Doctor of Science (Honoris Causa) degree from the Athens 174 The Rise of the Quants University of Economics and Business in 2003, a Doctor Honoris Causa degree from the Universidad Nacional Mayor de San Marcos of Lima, Peru, a Doctor of Philosophy Honoris Causa degree from the Universidad Nacional Federico Villarreal, Lima, in 2004, and a Doctor of Science, Honoris Causa degree from Claremont Graduate University in California in 2008. Merton remains a member of the National Bureau of Economic Research and of the International Board of Scientific Advisers of the Tinbergen Institute. He serves on a number of advisory and editorial boards, including the Journal of Fixed Income, the Journal of Banking and Finance, and the Journal of Financial Education. He sits on the advisory boards of the European Finance Review, the International Journal of Theoretical and Applied Finance, Mathematical Finance, and the Review of Derivatives Research. Despite his exhilarating and ultimately historically painful experience with Long Term Capital Management, he remains the consummate scholar and academic.

 

pages: 244 words: 79,044

Money Mavericks: Confessions of a Hedge Fund Manager by Lars Kroijer

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Bernie Madoff, capital asset pricing model, diversification, diversified portfolio, family office, fixed income, forensic accounting, Gordon Gekko, hiring and firing, implied volatility, index fund, Jeff Bezos, Just-in-time delivery, Long Term Capital Management, merger arbitrage, new economy, Ponzi scheme, risk-adjusted returns, risk/return, shareholder value, Silicon Valley, six sigma, statistical arbitrage, Vanguard fund, zero-coupon bond

Harlan Korenvaes had used his connections from heading the convertibles group at Merrill Lynch to raise money for his own venture. Since inception, the returns had been excellent. After the early days of focusing on one area, the firm had quickly expanded into others such as fixed-income arbitrage, merger arbitrage, emerging-markets fixed-income, and special situations. When I joined in July 1999 the firm was managing around $1.5 billion in assets, on its way to managing double-digit billions five years later. There were eight partners at the firm when I joined, along with a whole army of people in back offices for a total worldwide headcount of around 150.

The general feedback from the guys (there were virtually no women in the crowd) was similar: their jobs were not very structured, there was little hierarchy, skill was enthusiastically acknowledged by superiors and lack of it punished mercilessly. The job was entrepreneurial, in that you were encouraged to pursue what you thought were interesting angles, and if you were good the money was great. It was also clear that the type of work varied quite a bit from fund to fund. While the fixed-income or statistical arbitrage funds could be very mathematical in nature, the work at some of the long or short funds largely resembled that of more traditional stock-picking. Joining the clan I eventually joined a value fund in New York called SC Fundamental. During the interview process, the firm’s founder, Peter Collery, had thoroughly impressed me and I still consider him one of the smartest people I have ever met.

The evening was not looking like a breakthrough event for Holte, and I briefly considered going back to my room and ordering room service. Two middle-aged Asian-looking guys sat down and made typically formal introductions. At least they made an effort to be nice to the lonely no-hoper. But sadly I could hardly understand their heavily accented English. ‘Ah, start-up. Good. Good. Fixed income bad. Macro good,’ and so on. After establishing that they mainly invested in macro, and only in managers who had been running for three years, I realised that they would also rather talk to each other. So there I was as a social outcast who ended up drinking too much of the lovely red wine. Half-drunk and halfway through dessert, I excused myself to join some people who had retired to the terrace to smoke.

 

pages: 300 words: 77,787

Investing Demystified: How to Invest Without Speculation and Sleepless Nights by Lars Kroijer

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Andrei Shleifer, asset allocation, asset-backed security, Bernie Madoff, bitcoin, Black Swan, BRICs, Carmen Reinhart, cleantech, compound rate of return, credit crunch, diversification, diversified portfolio, equity premium, estate planning, fixed income, high net worth, implied volatility, index fund, invisible hand, Kenneth Rogoff, market bubble, passive investing, pattern recognition, prediction markets, risk tolerance, risk/return, Robert Shiller, Robert Shiller, sovereign wealth fund, too big to fail, transaction costs, Vanguard fund, yield curve, zero-coupon bond

Until fairly recently there was a dearth of investable index products available to investors who wanted bond exposure, other than perhaps that of the major country government bonds or US corporate bonds. Things are slowly getting better and the next decade will see further expansion in the amount of fixed-income products available for the retail investor. The historical indices that do go back some time have a heavy US bias and until recently broad-based indices were hard to come by, much less ones you could actually create as a product. Table 7.2 shows the performance data for some broad bond indices.

Although the time period shown in Table 7.2 is far too short to make meaningful conclusions, 2008 stands out as an interesting data point. Both the US aggregate and global government bond indices had positive returns in a terrible equity market. The outperformance of highly rated bonds in a tough market environment points to the potential advantage of adding fixed income to the rational portfolio. As equity markets collapsed, investors sought security in highly rated bonds. There was a belief that whatever happened, the bonds would be repaid at maturity, while nobody knew what would happen to equities. The large decline in the Barclays US High Yield index in 2008 was no surprise.

Different accounts Many investors will have different accounts that in aggregate add up to their investment portfolio. One may be a fully taxed normal deposit account whereas another is tax-free (e.g. a UK ISA). Generally, different accounts may have different tax characteristics; by putting the high-income generating investments (typically fixed income) in the tax-free accounts you may lower your overall tax burden. Being informed about which investments fit best into various accounts can save you taxes. In the UK, for example, if you pay tax it almost always make sense to have an ISA account and benefit from its tax advantages. Tax efficient proxies In some countries certain government bonds are tax advantageous.

 

pages: 431 words: 132,416

No One Would Listen: A True Financial Thriller by Harry Markopolos

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backtesting, barriers to entry, Bernie Madoff, call centre, centralized clearinghouse, correlation coefficient, diversified portfolio, Emanuel Derman, Eugene Fama: efficient market hypothesis, family office, fixed income, forensic accounting, high net worth, index card, Long Term Capital Management, Louis Bachelier, offshore financial centre, Ponzi scheme, price mechanism, quantitative trading / quantitative finance, regulatory arbitrage, Renaissance Technologies, risk-adjusted returns, risk/return, rolodex, Sharpe ratio, statistical arbitrage, too big to fail, transaction costs

As I was to learn over the next few years, the SEC had been created to monitor the stock market and it really had never evolved with the industry. Its investigators had neither the experience nor the training to understand something fairly complicated like fixed income, for example, an array of investments that yields a specific return on a regular basis but is much more complex than it initially appears. Municipal bonds, for example, is an area in which there is well-known and widespread corruption. And if the SEC couldn’t do the math for fixed income, it certainly could not do it for complicated derivatives or structured products. Structured products are combinations of underlying assets, like stocks and bonds, combined with various types of derivatives.

We considered ourselves an asset management firm, but we operated as a hedge fund. Because we were so small, each of us had to wear many hats, which was a great opportunity for me. I did everything there from routine correspondence, monthly client statements, and handling of compliance issues to assisting a very good fixed-income portfolio manager. It was a lot of grunt work, but I was in on all the action. I got to learn the business of being a money manager by being an assistant portfolio manager. I learned more there in three years than I might have learned elsewhere in a decade. Certainly one of the more important things I learned was that the numbers can be deceiving.

After Madoff collapsed, I was told so many stories about people who knew he was a fraud and warned others. For example, I’ve been told about an e-mail a manager at one of the largest investment houses sent to a Madoff client in 2005, warning him that “everybody here knows Madoff is a fraud” and urging him to get his funds out. Another very smart guy Neil and I knew ran a fixed income arbitrage strategy for one of the major feeder funds that was heavily invested in Madoff. This manager joined the firm long after it had made its initial investments in Bernie, and I believe he eventually became a partner. This person is very outspoken, but he knows what he’s talking about. He speaks numbers.

 

pages: 421 words: 128,094

King of Capital: The Remarkable Rise, Fall, and Rise Again of Steve Schwarzman and Blackstone by David Carey; John E. Morris; John Morris

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asset allocation, banking crisis, Bonfire of the Vanities, carried interest, collateralized debt obligation, corporate governance, credit crunch, diversification, diversified portfolio, fixed income, Gordon Gekko, margin call, Menlo Park, mortgage debt, new economy, Northern Rock, risk tolerance, Rod Stewart played at Stephen Schwarzman birthday party, Sand Hill Road, sealed-bid auction, Silicon Valley, sovereign wealth fund, The Predators' Ball, éminence grise

A pioneering financier and salesman, he was considered the second leading figure, after Salomon Brothers’ Lewis Ranieri, in the development of the mortgage-backed bond market. At the time, Fink was about to lose his job at First Boston after his unit racked up $100 million in losses in early 1988. But Schwarzman and Peterson had from the start hoped to launch affiliated investment businesses and thought Fink was the ideal choice to head a new group focused on fixed-income investments—the Wall Street term for bonds and other interest-paying securities. They accepted Fink’s explanation that flawed computer software and bad data inputs had triggered the stunning trading losses, and they were further reassured by a conversation Schwarzman had with Bruce Wasserstein, First Boston’s cohead of M&A, who had become a friend and frequent tennis partner of Schwarzman’s.

They accepted Fink’s explanation that flawed computer software and bad data inputs had triggered the stunning trading losses, and they were further reassured by a conversation Schwarzman had with Bruce Wasserstein, First Boston’s cohead of M&A, who had become a friend and frequent tennis partner of Schwarzman’s. “Bruce told me that Larry was by far the most gifted person at First Boston,” Schwarzman says. Peterson and Schwarzman offered Fink a $5 million credit line to start a joint venture called Blackstone Financial Management, or BFM, which would trade in mortgage and other fixed-income securities. In exchange for the seed money, Blackstone’s partners got a 50 percent stake in the new business while Fink and his team, which included Ralph Schlosstein, a former Lehman partner and a good friend of Roger Altman’s, owned the other 50 percent. Eventually, the Blackstone partners’ stake would fall to around 40 percent as the BFM staff grew and employees were given shares in the business.

Overall, though, his record sparkled. From February 1983 to September 1987 at Smith Barney and then from May 1988 to March 1989 at Drexel, McVeigh’s arbitrage funds had returned on average 39 percent a year. Blackstone formed a joint venture with McVeigh along the lines of the one it had formed with Larry Fink for the fixed-income investment affiliate. McVeigh and his group were allotted a 50 percent interest in Blackstone Capital Arbitrage and were handed custody of about $50 million of Nikko’s money and were told to go at it. Blackstone couldn’t have picked a worse moment to ramp up in arbitrage. The economy was just beginning to slow, putting the brakes on takeovers, and by October 1989 LBOs and most takeover activity had screeched to a halt.

 

Stock Market Wizards: Interviews With America's Top Stock Traders by Jack D. Schwager

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Asian financial crisis, banking crisis, barriers to entry, Black-Scholes formula, commodity trading advisor, computer vision, East Village, financial independence, fixed income, implied volatility, index fund, Jeff Bezos, John von Neumann, locking in a profit, Long Term Capital Management, margin call, paper trading, passive investing, pattern recognition, random walk, risk tolerance, risk-adjusted returns, short selling, Silicon Valley, statistical arbitrage, the scientific method, transaction costs, Y2K

The performance results you're referring to are for our equity and equity-linked trading strategies, which have formed the core of our proprietary trading activities since our start over eleven years ago. For a few years, though, we also traded a fixed income strategy. That strategy was qualitatively different from the equity-related strategies we'd historically employed and exposed us to fundamentally different sorts of risks. Although we initially made a lot of money on our fixed income trading, we experienced significant losses during the global liquidity crisis in late 1998, as was the case for most fixed income arbitrage traders during that period. While our losses were much smaller, in both percentage and absolute dollar terms, than those suffered by, for example, Long Term Capital Management, they were significant enough that we're no longer engaged in this sort of trading at all.

How do they try to do it? At one extreme, P1MCO buys S&P futures for the stock exposure and tries to provide the additional 100 basis points return by managing a fixed income portfolio. Sure, that would work if interest rates are stable or go down. But if interest rates rise, aren't they taking the risk of a loss on their bond portfolio? WIN-WIN INVEST! Yes, they definitely are. In effect, all they are really doing is taking the active manager risk in the fixed income market as opposed to the equity market. What other approaches have people used to try to consistently outperform the S&P 500 benchmark? Some people attempt to beat the S&P 500 by trying to pick the best stocks in each sector.

"ten-bagger," i61 Thailand, 18 Thermolase, 46-47 ThcSlreet.com, 218 Thorpe, Ed, 266 3Com, 22 lick indicators, 107-1 1, 114, 312, 322 Time, 277 timc-and-sales log, 80 lips, stock, 6, 13-14, 20, 25, 72, 173, 176, 312 Tokyo Stock Exchange, 223 traders: athletes compared with, 285, 288, 289-90, 291, 297, 310 author's previous works on, 30, 77, I 70, 189, 197, 214-15,233 black, 127-28, 136-38 competitive edge of, 61-62, 144-45, 172, 177,203, 217-18, 225-26, 255-56, 301-2 conviction of, 27, 37-38, 48-49, 51, 52, 55, 57, 120-21, 126, 152, 167, 171, 174, 288-97, 302-3 decision-making by, 6, 13-14, 20. 21-22, 23, 25, 72,78, 173, 1 7 6 , 3 1 2 , 3 1 8 determination of, 28, 29, 31, 54, 125. 174-75, 186-87, 194, 203-4, 205, 208, 283-84,299, 303^1 discipline of, 72, 166, 167-68, 177, 186, 187, 202, 205, 208, 209, 292, 298 experience of, 28, 1 19-22. 195, 254-55, 300, 304, 308,314,317-18 fees of, 35, 55.275 flexibility of, 188,299-300 independence of, 22-23, 26-27, 57-58, 60-61, 93, 119-21,254-55,301,316, 326 instincts of, 5, 16, 27, 28, 71-72, 186, 188, 278-79, 286-87 lessons from, 298-326 novice, 67, 72,93-94. 183-86, 204, 218-19, 286-87, 308 patience of, 167-68, 176, 309-10 personality of, 29, 281, 285, 288-97, 298-99, 312-13, 314 style of, 183-84,2)8-20,281-83, 286-87 in teams, 282-83 whole-picture perspective o f , xiii-xiv women, 77, 88-89 see also specific trailers trading: as art vs. science, 61, 7i—72 "bond ratio," 110-11 capitalization for, 10, 114-19, 120. 142, 146, 147, 205, 207, 222, 303 "catapult," 110 charts for, 158, 181-83, 264-74 complexity of, 3 1 5 — 1 6 contests for, 97, 111, 118, 170 currency, 5, 9, 202-3 equity, 6, 144-45,257 fixed-income, 271 goals For, 296,297, 310 high-probability. 110, 116. 177. 1 7 8 , 2 1 6 - 1 7 . 2 1 9 , 255-56,307,316 leveraged, 47-48, 69-70, I 17, 174, 204, 222, 314-15 losses capped in, 179-80, 184, 187, 188 paper, 175 positions in, see positions, trading post-trade analysis of, 97, 109-10, 179-80, 185, 187-88, 218, 219, 300-301,314 research for, see research restrictions on, 21-22, 27-28, 8 1 , 118-22, 152-53, 166, 179-80 systems of, 169, 171-82, 189-206, 264-74 timing in, xiii, 85, 157-58, 162-63, 171, 185, 196, 217, 220, 231, 232, 239, 257, 284-85, 305, 308 unethical, 79-80, 84, 234-35 as vocation, 119-21,316 Trading in the "Lane (Kiev), 288-89 Trading Places, 277 Trading to Win (Kiev), 288 transaction costs, 134-35, 255 turbo indexing, 34 TV set-type adjustments, 233-34 INDEX Ultrafem, 69 U.S.

 

pages: 162 words: 50,108

The Little Book of Hedge Funds by Anthony Scaramucci

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Andrei Shleifer, asset allocation, Bernie Madoff, business process, carried interest, Credit Default Swap, diversification, diversified portfolio, Donald Trump, Eugene Fama: efficient market hypothesis, fear of failure, fixed income, follow your passion, Gordon Gekko, high net worth, index fund, Long Term Capital Management, mail merge, margin call, merger arbitrage, NetJets, Ponzi scheme, profit motive, quantitative trading / quantitative finance, random walk, Renaissance Technologies, risk-adjusted returns, risk/return, Ronald Reagan, Saturday Night Live, Sharpe ratio, short selling, Silicon Valley, too big to fail, transaction costs, Vanguard fund, Y2K, Yogi Berra

In other words, pair traders search for situations where two companies in the same industry—or even two companies in different industries—may move in opposite directions. As a result of this practice, investors profit from the “relative value” of the two securities. Strategies within this classification include: Convertible Bond Arbitrage Fixed-Income Arbitrage Equity Market Neutral Relative value funds can pair trade indices, futures, options, currencies, and commodities; however, stocks that are in the same industry and have similar trading histories are most often used in this strategy. In my humble opinion, the pairs trading process is one of the most fascinating forms of hedge fund investing; however, it may also be the most nuanced.

These strategies focus on alpha generation. We also take sector betas that are attractively priced and hard to source in a typical long only structure. 4. What do you see as the future of the industry? The future for active management is quite bright. Given the low absolute level of interest rates, fixed income returns will remain quite low, while the high volatility and lack of directionality in equity markets make long only strategies less effective. However, managers who mainly take a long only strategy and call it a hedge fund to justify higher fees may see attrition of assets. The market will pay up for real alpha and superior risk management, and is increasingly able to differentiate those from “dressed up” long only strategies.

Typically, an investor should strive to find a manager with many years of real “buy-side experience,” that is, the manager should have actually managed a reasonable amount of capital over a reasonable period of time. The exception to this rule is a new, cutting-edge manager who is implementing strategies that may not have existed three years ago. You would be surprised at how many hedge funds fail the basic “experience” test. For instance, if a manager’s only prior experience is that he was a fixed-income salesman, you could undoubtedly find someone with more relevant experience and skills. For whatever reason, a lot of hedge fund investors tend to be drawn like moths to a flame to big-name sell-side guys who come out and launch a new hedge fund. A general rule of thumb: Avoid these guys like the plague as history has shown that they tend to always fail.

 

pages: 302 words: 86,614

The Alpha Masters: Unlocking the Genius of the World's Top Hedge Funds by Maneet Ahuja, Myron Scholes, Mohamed El-Erian

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Asian financial crisis, asset allocation, asset-backed security, backtesting, Bernie Madoff, Bretton Woods, business process, call centre, collapse of Lehman Brothers, collateralized debt obligation, corporate governance, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, diversification, Donald Trump, en.wikipedia.org, family office, fixed income, high net worth, interest rate derivative, Isaac Newton, Long Term Capital Management, Mark Zuckerberg, merger arbitrage, NetJets, oil shock, pattern recognition, Ponzi scheme, quantitative easing, quantitative trading / quantitative finance, Renaissance Technologies, risk-adjusted returns, risk/return, rolodex, short selling, Silicon Valley, South Sea Bubble, statistical model, Steve Jobs, systematic trading

The legendary head of Goldman’s international risk arbitrage desk had left the department by the late 1980s and served as co-chairman of the firm from 1990 to 1992, when he left Goldman to join President Clinton’s economics team, first as the director of the National Economic Council, then as the Secretary of the Treasury. After Rubin moved on, Tepper continued to turn to him for advice, which didn’t sit well with Jon Corzine, the new co-head of the fixed income department. “I think that’s pretty public,” says Tepper. “People say that I basically kept going to Rubin instead of Corzine but it wasn’t for political reasons. It was just because Rubin knew what was going on with equities and Corzine was a Treasury guy that didn’t know corporates. I wasn’t disloyal to him, but I wasn’t one of his boys,” he says.

Instead of thinking about how to get bigger, Tepper and his team strive to decrease the amount of assets. “We don’t want to be bigger than we can invest,” he says. “The question is what size gets you—except more fees for the manager. But it doesn’t necessarily make the investor more money.” Tepper thinks that for most funds, growing over a certain amount doesn’t do anyone any good. “Fixed income funds should naturally be a little bit larger than, say, equity funds. You want to be big enough that you can see everything and small enough that you don’t kill yourself with size. So I think different sizes are right for different types of funds.” He gives an example. “Say you want to buy 5 percent of a $2 billion company, and have it be meaningful.

So there’s an aspect to the business, in equity funds especially, that gets funky on size.” By March 2011, Appaloosa’s funds had appreciated so substantially that Tepper decided to return $600 million to investors. For the Thoroughbred Fund, however, investors had committed money for three years. The fund opened in July 2008, with a mandate to invest 70 percent of assets in fixed-income securities. Thoroughbred gained 22 percent net in 2010, after soaring 96 percent net in 2009, according to investors. The lock-up period expired at the end of 2011. Tepper reiterates that he’s in the game to make returns, not to have assets, and is looking to place some of his personal wealth with a select few other managers.

 

pages: 102 words: 30,120

Why Wages Rise by F. A. Harper

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collective bargaining, fixed income, full employment, means of production, wage slave

In speaking of the consequences of inflation at the time of the French Revolution, Andrew Dickson White said: Now began to be seen more plainly some of the many ways in which an inflation policy robs the working class . . . . the classes living on fixed incomes and small salaries felt the pressure first, as soon as the purchasing power of their fixed incomes was reduced. Soon the great class living on wages felt it even more sadly . . . . the demand for labor was diminished; laboring men were thrown out of employment . . . the price of labor . . . went down. . . . Workmen of all sorts were more and more thrown out of employment.6 So if the wage earner is to be able to enjoy further increases in real wages through a healthy and sound economic growth, inflation must be stopped.

 

pages: 222 words: 70,559

The Oil Factor: Protect Yourself-and Profit-from the Coming Energy Crisis by Stephen Leeb, Donna Leeb

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Buckminster Fuller, diversified portfolio, fixed income, hydrogen economy, income per capita, index fund, mortgage debt, North Sea oil, oil shale / tar sands, oil shock, peak oil, profit motive, reserve currency, rising living standards, Ronald Reagan, shareholder value, Silicon Valley, Vanguard fund, Yom Kippur War, zero-coupon bond

And if our oil indicator signals its onset, it’s time to rush into deflation hedges. Cash, Bonds, and Zeros Historically the only investments that perform well during the kind of economy-ravaging deflation that would occur this time around are fixed income instruments such as cash and bonds—and in particular zero coupon bonds. The most analogous period is 1929-32, and as figure 17a, “Bonds in the Depression,” shows, fixed income investments were the only shelter. More recently, deflationary fears arose when oil prices surged and acted as the catalyst that punctured the tech bubble. The sharp fall in the market threatened to cause an economic meltdown.

Because as we’ve noted, nothing in the market is ever a hundred percent certain, and if inflation picks up unexpectedly, your zeros will tank. Regular bonds will come down less, and they’ll still give you income. Individual bonds generally aren’t as liquid as stocks, and sometimes you can be forced to overpay for them. Thus, when it comes to investing in any fixed income instrument as a deflation hedge, we prefer the mutual fund route. One key rule is to go for quality. Don’t get tempted by high-yield bond funds, because these consist of the debt of risky companies, exactly the kind that could go broke if a depression hits. Stick to government bonds and ultra-high-quality corporate bonds.

 

pages: 287 words: 81,970

The Dollar Meltdown: Surviving the Coming Currency Crisis With Gold, Oil, and Other Unconventional Investments by Charles Goyette

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bank run, banking crisis, Ben Bernanke: helicopter money, Berlin Wall, Bernie Madoff, Bretton Woods, British Empire, Buckminster Fuller, California gold rush, currency manipulation / currency intervention, Deng Xiaoping, diversified portfolio, Elliott wave, fiat currency, fixed income, Fractional reserve banking, housing crisis, If something cannot go on forever, it will stop, index fund, Lao Tzu, margin call, market bubble, McMansion, money: store of value / unit of account / medium of exchange, mortgage debt, oil shock, peak oil, pushing on a string, reserve currency, rising living standards, road to serfdom, Ronald Reagan, Saturday Night Live, short selling, Silicon Valley, transaction costs

Maybe that confusion is to be expected from the governing classes and their lapdog press, such as the news writer who insists that the government’s bailout spending will have “no effect on Social Security and Medicare.” When his drug bill added the biggest burden to the hidden debt since the Great Society, Bush said, “This week Congress made significant progress toward improving the lives of America’s senior citizens.” Really, Mr. President? Because America’s senior citizens, and everyone else on a fixed income, will be among the hardest hit by the dollar meltdown. At least David Walker understands that failure to solve the problem of hidden debt means a depreciating dollar and a lower standard of living. “Young people in particular will end up paying double or more in taxes what the current generation pays if they don’t become more involved,” he said.

Those financial institutions, large insurance companies, and banks have a clear moral obligation to use their considerable political clout to resist the destruction of the value of the deposits, insurance policies, and pension plans their clients have been paying for over a lifetime. But they did not do so in Germany, and they have not done so in the United States. Meanwhile, chief among the victims of inflation are those who save, such as bank depositors, those who buy bonds, and fixed income investors, retirees, and pension plan owners. In other words, all the virtues of thrift and savings that contribute to a healthy and prosperous economy are penalized. Nightmare in Zimbabwe Finally in this section a word about the recent mind-boggling runaway inflation in Zimbabwe. It is a tragic tale of bloodshed and ruin.

It was good for the likes of Merrill Lynch, JPMorgan, and Chase Manhattan, which saw their depressed stock prices take off, but it had a costly impact on Americans. Driving rates to 3 percent by the time he was finished, Greenspan fundamentally altered the investment outlook and risk-taking proclivities of retired people and baby boomers alike, as they sought to make up in the stock market for the certificate of deposit and fixed income returns that had disappeared. Ultimately Americans lost $6 trillion in that Greenspan stock market bubble. But while the profits of the banks from market distortions are privatized, banking system losses, as we are wit nessing, are socialized. More alarming is the role of the central bank in funding wars not popular enough to be sustained by direct taxation.

 

pages: 280 words: 79,029

Smart Money: How High-Stakes Financial Innovation Is Reshaping Our WorldÑFor the Better by Andrew Palmer

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Affordable Care Act / Obamacare, algorithmic trading, Andrei Shleifer, asset-backed security, availability heuristic, bank run, banking crisis, Black-Scholes formula, bonus culture, Bretton Woods, call centre, Carmen Reinhart, cloud computing, collapse of Lehman Brothers, collateralized debt obligation, corporate governance, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, Daniel Kahneman / Amos Tversky, David Graeber, diversification, diversified portfolio, Edmond Halley, Edward Glaeser, Eugene Fama: efficient market hypothesis, eurozone crisis, family office, financial deregulation, financial innovation, fixed income, Flash crash, Google Glasses, Gordon Gekko, high net worth, housing crisis, Hyman Minsky, implied volatility, income inequality, index fund, Innovator's Dilemma, interest rate swap, Kenneth Rogoff, Kickstarter, late fees, London Interbank Offered Rate, Long Term Capital Management, loss aversion, margin call, Mark Zuckerberg, McMansion, mortgage debt, mortgage tax deduction, Network effects, Northern Rock, obamacare, payday loans, peer-to-peer lending, Peter Thiel, principal–agent problem, profit maximization, quantitative trading / quantitative finance, railway mania, randomized controlled trial, Richard Feynman, Richard Feynman, Richard Thaler, risk tolerance, risk-adjusted returns, Robert Shiller, Robert Shiller, short selling, Silicon Valley, Silicon Valley startup, Skype, South Sea Bubble, sovereign wealth fund, statistical model, transaction costs, Tunguska event, unbanked and underbanked, underbanked, Vanguard fund, web application

They are also part of the skeleton of the financial system. After the 1930s (a decade now lauded for its postcrisis regulatory overhaul), US banks were required by their regulators to use credit ratings to assess the creditworthiness of the fixed-income instruments they invest in; international rules still use ratings to determine the amount of equity banks have to use to fund these assets. Investment firms use credit ratings to specify what types of fixed-income products they can invest in, and the biggest pools of capital—pension funds, sovereign-wealth funds, and the like—are often confined to “investment-grade securities,” which carry a higher rating.

Basis risk: The risk that a hedging strategy will not work out because assets whose prices and risks are supposed to offset each other, with one rising as the other falls, do not behave as expected. Bond: An IOU issued by a company or government, which entitles the lenders to get their initial money (or principal) back as well as income in the form of an interest payment. Because bonds offer investors a fixed return, they are known as fixed-income assets. Like loans, bonds are a form of debt. Unlike loans, they are highly tradable and their ownership is very dispersed. Clearinghouse: A clearinghouse stands in between buyers and sellers in financial transactions and is designed to reduce counterparty risk. When an uncleared derivatives contract moves onto a clearinghouse, it divides into two: a contract between the buyer and the clearinghouse and a matching contract between the seller and the clearinghouse.

 

pages: 407 words: 114,478

The Four Pillars of Investing: Lessons for Building a Winning Portfolio by William J. Bernstein

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asset allocation, Bretton Woods, British Empire, buy low sell high, carried interest, corporate governance, cuban missile crisis, Daniel Kahneman / Amos Tversky, Dava Sobel, diversification, diversified portfolio, Edmond Halley, equity premium, estate planning, Eugene Fama: efficient market hypothesis, financial independence, financial innovation, fixed income, German hyperinflation, high net worth, hindsight bias, Hyman Minsky, index fund, invention of the telegraph, Isaac Newton, John Harrison: Longitude, Long Term Capital Management, loss aversion, market bubble, mental accounting, mortgage debt, new economy, pattern recognition, quantitative easing, railway mania, random walk, Richard Thaler, risk tolerance, risk/return, Robert Shiller, Robert Shiller, South Sea Bubble, transaction costs, Vanguard fund, yield curve

Conversely, the highest returns are obtained by shouldering prudent risk when things look the bleakest, a theme we shall return to repeatedly. Bond Returns in the Twentieth Century The history of bonds in the twentieth century is unique—even the most comprehensive grasp of financial history would not have prepared the nineteenth century investor for the hurricane that buffeted the world’s fixed-income markets after 1900. In order to understand what happened, it’s necessary to briefly discuss the transition from the gold standard to the paper currency system that took place in the early 1900s. We’ve already touched on the abandonment of the gold standard after World War I. Before then, except for very brief periods, gold was money.

Figure 4-4. Mix of 75% Stock/25% Treasury bill annual returns, 1901–2000. (Source: Jeremy Siegel.) Figure 4-5. All-stock annual returns, 1901–2000. (Source: Jeremy Siegel.) It’s important to clear up a bit of confusing terminology first. Until this point in the book, we’ve used two designations for fixed-income securities: bonds and bills, referring to long- and short-duration obligations, respectively. Bonds and bills are also different in one other respect: bonds most often yield regular interest, whereas bills do not—they are simply bought at a discount and redeemed at face value. The most common kinds of bills in everyday use are Treasury bills and commercial paper, the latter issued by corporations.

For the purposes of this book, when we use the term “bonds” we are intentionally excluding long-term treasuries and corporate bonds, as these do not have an acceptable return/risk profile. I’ll admit that this is a bit confusing. A more accurate designation would be “stocks and relatively short-term fixed-income instruments,” but this wording is unwieldy. Table 4-1. 1901–2000, 100-Year Annualized Return versus 1973–1974 Bear Market Return The data in Table 4-1 and the plot in Figure 4-6 vividly portray the tradeoff between risk and return. The key point is this: the choice between stocks and bonds is not an either/or problem.

 

pages: 519 words: 118,095

Your Money: The Missing Manual by J.D. Roth

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Airbnb, asset allocation, bank run, buy low sell high, car-free, Community Supported Agriculture, delayed gratification, diversification, diversified portfolio, estate planning, Firefox, fixed income, full employment, Home mortgage interest deduction, index card, index fund, late fees, mortgage tax deduction, Own Your Own Home, passive investing, Paul Graham, random walk, Richard Bolles, risk tolerance, Robert Shiller, Robert Shiller, speech recognition, traveling salesman, Vanguard fund, web application, Zipcar

If your risk tolerance is high, you can handle big fluctuations in your investment returns in exchange for the possibility of large gains. If your tolerance is low, on the other hand, you'd rather not deal with the ups and downs—even if that means giving up a chance at making higher returns. Some of your portfolio should be in fixed-income investments like bonds and CDs, which pay interest on a regular schedule. How much depends on your goals, needs, and risk tolerance. A common rule of thumb is that the percentage of fixed-income investments in your portfolio should be equal to your age. So, if you're 30, you should have 30% in something like a bond mutual fund. (A lot of experts dislike this guideline, but it's an easy place to start.)

Siegel goes back even further than 1926, showing that if you'd invested just one dollar in stocks in 1802, it would have been worth more than $750,000 in 2006. If you'd put that dollar in bonds instead, it would have grown to just $1,083. And if you'd put it in gold, it would be worth $1.95. (All those figures take inflation into account.) "The dominance of stocks over fixed-income securities [like bonds] is overwhelming for investors with long horizons," Siegel writes. In plain English: Over the past 200 years, stocks have outperformed every other kind of investment. But before you rush out and sink your savings in the stock market, you need to understand a few important points.

stocks, The Tools of Investing Escape from Cubicle Nation, Resources for Entrepreneurs estate planning, A Brief Overview of Estate Planning, Drawing up a Will, Drawing up a Will estimated taxes, Where to Get More Tax Info exchange-traded funds (ETFs), Index funds exemptions, How Income Tax Works expectations, It's Not About the Money expense notifications, Using Credit Without Getting Burned expense ratios, Mutual Funds, Keep Costs Low expenses index funds, Index funds mutual funds, Mutual Funds planning, Mapping Your Financial Future tracking, Mapping Your Financial Future Experian, Your Credit Report, How to Get Your Credit Score experiences, How Money Affects Happiness, Living a Rich Life, The Tyranny of Stuff extended warranties, Close the deal, General Insurance Tips extensions on tax returns, What To Do If You Can't Pay Uncle Sam F Fair Credit Reporting Act, Getting a Free Credit Report Fair Debt Collection Practices Act, Debtors Anonymous families, Kids and Money, Allowances FatWallet.com, Save While Shopping, Choosing a Card Federal Deposit Insurance Corporation (FDIC), Credit unions fee-only financial planners, Know Your Goals fees banks, The Right Bank for You, Keeping Your Accounts Optimized credit cards, Credit Cards, Choosing a Card mutual funds, Mutual Funds small business rates, The Pros and Cons of Entrepreneurship FICO scores, Your Credit Score Fidelity investment funds, Lifecycle funds, Mutual fund companies financial management, How Much Is Enough? financial news, Ignore the Financial News Financial Peace University, Financial Peace University financial planners, Roth IRA rules and requirements financial trolls, Coping with Mistakes and Setbacks FireCalc.com, Retirement Calculators first-time homebuyer's credit, Other moves fixed-income securities, How Much Do Stocks Actually Earn? floater policies, Homeowners Insurance foreign stock funds, Keep Costs Low, Lazy Portfolios foreign stocks, Stocks and Bonds Form 9465, What To Do If You Can't Pay Uncle Sam Form W-4, How Income Tax Works fraud, Why Use a Credit Card?, Choosing a Card, Selling a Car free checking, The Right Bank for You free credit reports, Getting a Free Credit Report Free File tax program, Hire a pro Freecycle website, Donating to Charity Freedman, Mystery shopping freedom, Friends and Family, True Wealth frequent flyer miles, Why Use a Credit Card?

 

pages: 443 words: 51,804

Handbook of Modeling High-Frequency Data in Finance by Frederi G. Viens, Maria C. Mariani, Ionut Florescu

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algorithmic trading, asset allocation, automated trading system, backtesting, Black-Scholes formula, Brownian motion, business process, continuous integration, corporate governance, discrete time, distributed generation, fixed income, Flash crash, housing crisis, implied volatility, incomplete markets, linear programming, mandelbrot fractal, market friction, market microstructure, martingale, Menlo Park, p-value, pattern recognition, performance metric, principal–agent problem, random walk, risk tolerance, risk/return, short selling, statistical model, stochastic process, stochastic volatility, transaction costs, value at risk, volatility smile, Wiener process

Financial ratios as predictors of failure. J Account Res 1966;4:71–111. Berle A, Means G. The modern corporation and private property. New York: Harcourt; 1932. Black F, Litterman R. Asset allocation: combining investor views with market equilibrium. Fixed income research. Goldman Sachs & Co., New York; 1990. Black F, Litterman R. Global asset allocation with equities, bonds, and currencies. Fixed income research, Goldman Sachs & Co., New York; 1991. Bornholdt S. Expectation bubbles in a spin model of markets: intermittency from frustration across scales. Int J Mod Phys C 2001;12:667–674. Breiman L. Statistical modeling: the two cultures.

J Credit Risk 2007;3(2):27–62. Das SR, Freed L, Geng G, Kapadia N. Correlated default risk. J Fixed Income 2006;16(2):7–32. Gorton G. The panic of 2007. Working Paper 14358, NBER; 2008. References 95 Hillebrand E, Sengupta A, Xu J. Temporal correlation of defaults in subprime securitization. Working paper; 2010. Hull J, Predescu M, White A. The valuation of correlation-dependent credit derivatives using a structural model. Working paper; 2009. Li D. On default correlation: a copula function approach. J Fixed Income 2000;9(4):43–54. Meng C, Sengupta A. CDO tranche sensitivities in the Gaussian copula model.

 

pages: 507 words: 145,878

Predator's Ball by Connie Bruck

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diversified portfolio, financial independence, fixed income, mortgage debt, offshore financial centre, paper trading, profit maximization, The Predators' Ball, yield management, Yogi Berra, zero-coupon bond

Milken realized that delivery should be made overnight, thereby cutting the period of interest payment from five days to one. According to its vice-president of operations, Douglas Clark, that idea saved the firm an estimated $500,000 annually. When he left Wharton in 1970, he was hired full time at Drexel, to work in the Wall Street office as head of research for fixed-income securities; from there he moved into sales and trading. While Milken’s academic record was superb, he lacked all the other requisites—Ivy League school, social standing, physical presence—for acceptance at one of the premier firms on the Street, such as Goldman, Sachs. Drexel, while it was in a state of decline, at least had a major-bracket franchise.

According to one Drexel executive, Milken received 35 percent of his small group’s trading profits as a bonus, to be distributed as he saw fit. This fixed percentage had no cap, and it would remain unchanged over the next fourteen years. Milken told his boss, Edwin Kantor, who was in charge of all fixed-income trading, that he wanted to create an autonomous unit, with its own sales force, its own traders and its own research people: the high-yield- and convertible-bond department. Selling these low-rated bonds, he explained, was more like selling stocks than it was like selling high-grade bonds. If a bond was rated triple A by a rating agency, institutions bought them based on that rating—not on the salesman’s pitch about the company.

“He didn’t just say, he preached,” one buyer recalled. “He was like a messiah, preaching the gospel. He had this total singlemindedness of purpose.” “If my purpose was to try to help people, maybe I was singleminded,” Milken responded, in an interview in 1987. “The marketplace was willing to invest in long-term, fixed-income securities of non-investment-grade companies. I felt it was our responsibility, in terms of making a contribution to both parties, the companies and the investors. “To me,” Milken continued, “it was a form of discrimination—to discriminate against the management and employees of a company which offered value-added products and services, all because he didn’t get a certain rating.

 

pages: 327 words: 91,351

Traders at Work: How the World's Most Successful Traders Make Their Living in the Markets by Tim Bourquin, Nicholas Mango

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algorithmic trading, automated trading system, backtesting, commodity trading advisor, Credit Default Swap, Elliott wave, fixed income, Long Term Capital Management, paper trading, pattern recognition, prediction markets, risk tolerance, Small Order Execution System, statistical arbitrage, The Wisdom of Crowds, transaction costs

There are boundless opportunities to come up with your own little nuances on your methods to make them just a little better. The minute you think you’ve found the key to trading, I promise you the markets will change the lock. CHAPTER 3 Serge Berger Serge Berger has been an active trader since 1998. During his career, he has been a financial analyst, dealt in fixed-income instruments at J.P. Morgan, and was a proprietary trader in equities, equity options, and futures. Exposure to a range of different asset classes has allowed Berger to identify which asset classes and strategies best fit his goal of achieving consistent profits. Over the years, Berger has created a trading methodology that divides markets into different time frames and characters, allowing him to more clearly and without emotions determine which strategies to apply in given situations.

Berger: I can’t give a dollar amount, but what I can tell you is that the goal when trading the opening gap is basically to make between one and two S&P 500 E-mini futures points. If you do that, you make a very good living. Bourquin: Right. And how did you go about learning to trade the opening gap? Berger: I worked at J.P. Morgan as a fixed-income guy, and I always wanted to break loose from that and just trade, but I wanted to find something that would give me enough certainty of cash flow on a monthly or quarterly basis so I could leave, or at least get to a prop desk where I could survive. The gap trade is a very high-probability trade that allows me to do that, and that’s really why I came around it.

Because you’re following the ECB and other central banks, are you trading currency futures at all? Berger: No. I don’t trade currency futures. And the main reason I stick with the asset classes I mentioned is because I think it gets too difficult to keep track of things. As I said earlier, I used to be a fixed-income guy and traded a lot of credit default swaps, corporate bonds, and even sovereign bonds, but it’s just too much to keep track of. Nowadays, with the advent of ETFs, if I want to get a general trade on, say, the euro or the Australian dollar, I can trade that using ETFs. Of course, I’m giving up some fees here and there, but I’m happy to just take it as a macro trade and not have to worry about the intricacies of dealing with foreign exchange and corporate bonds, because I’d then need different brokers and every­thing else.

 

pages: 430 words: 109,064

13 Bankers: The Wall Street Takeover and the Next Financial Meltdown by Simon Johnson, James Kwak

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Andrei Shleifer, Asian financial crisis, asset-backed security, bank run, banking crisis, Bernie Madoff, Bonfire of the Vanities, bonus culture, capital controls, Carmen Reinhart, central bank independence, collapse of Lehman Brothers, collateralized debt obligation, corporate governance, Credit Default Swap, credit default swaps / collateralized debt obligations, crony capitalism, Edward Glaeser, Eugene Fama: efficient market hypothesis, financial deregulation, financial innovation, financial intermediation, financial repression, fixed income, George Akerlof, Gordon Gekko, greed is good, Home mortgage interest deduction, Hyman Minsky, income per capita, interest rate derivative, interest rate swap, Kenneth Rogoff, laissez-faire capitalism, late fees, Long Term Capital Management, market bubble, market fundamentalism, Martin Wolf, moral hazard, mortgage tax deduction, Ponzi scheme, price stability, profit maximization, race to the bottom, regulatory arbitrage, rent-seeking, Robert Shiller, Robert Shiller, Ronald Reagan, Saturday Night Live, sovereign wealth fund, The Myth of the Rational Market, too big to fail, transaction costs, value at risk, yield curve

A credit default swap is a form of insurance on debt; the “buyer” of the swap pays a fixed premium to the “seller,” who agrees to pay off the debt if the debtor fails to do so. Typically the debt is a bond or a similar fixed income security, and the debtor is the issuer of the bond. Historically, monoline insurance companies provided insurance for municipal bonds, and Fannie Mae and Freddie Mac insured the principal payments on their mortgage-backed securities. With credit default swaps, however, now anyone could sell insurance on any fixed income security. Credit default swaps were invented in the early 1990s by Bankers Trust, but were popularized by J.P. Morgan later in the decade as a way for banks to unload the default risk of their asset portfolios; this enabled them to lower their capital requirements, freeing up money that could be lent out again.77 Credit default swaps also provide a way for a bond investor to hedge against the risk of default by the bond issuer.

Robert Rubin, President Clinton’s first director of the National Economic Council (NEC) and second treasury secretary, began his Goldman Sachs career in risk arbitrage (betting on the likelihood of corporate events, such as acquisitions), branched out into relative value arbitrage (capitalizing on pricing discrepancies between similar securities), and co-headed Goldman’s fixed income trading department before becoming co-chair of the firm.14 Henry Paulson, President George W. Bush’s last treasury secretary, headed Goldman Sachs from 1999 to 2006, at a time when its trading operations were the most profitable part of the firm. Second, the increasingly complex nature of finance changed the balance of power between Wall Street insiders and other economic policymakers.

 

pages: 334 words: 98,950

Bad Samaritans: The Myth of Free Trade and the Secret History of Capitalism by Ha-Joon Chang

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affirmative action, Albert Einstein, Big bang: deregulation of the City of London, bilateral investment treaty, borderless world, Bretton Woods, British Empire, Brownian motion, call centre, capital controls, central bank independence, colonial rule, Corn Laws, corporate governance, David Ricardo: comparative advantage, Deng Xiaoping, Doha Development Round, en.wikipedia.org, falling living standards, Fellow of the Royal Society, financial deregulation, fixed income, Francis Fukuyama: the end of history, income inequality, income per capita, industrial robot, Isaac Newton, joint-stock company, Joseph Schumpeter, Kenneth Rogoff, labour mobility, land reform, low skilled workers, market bubble, market fundamentalism, Martin Wolf, means of production, moral hazard, offshore financial centre, oil shock, price stability, principal–agent problem, Ronald Reagan, South Sea Bubble, structural adjustment programs, The Wealth of Nations by Adam Smith, trade liberalization, transfer pricing, urban sprawl, World Values Survey

Neo-liberals would argue that all inflation – moderate or not – is still objectionable, because it disproportionately hurts people on fixed incomes – notably wage earners and pensioners, who are the most vulnerable sections of the population. Paul Volcker, the chairman of the US Federal Reserve Board (the US central bank) under Ronald Reagan (1979–87), argued: ‘Inflation is thought of as a cruel, and maybe the cruellest, tax because it hits in a many-sectored way, in an unplanned way, and it hits the people on a fixed income hardest’.16 But this is only half the story. Lower inflation may mean that what the workers have already earned is better protected, but the policies that are needed to generate this outcome may reduce what they can earn in the future.

Emphasis on fiscal prudence has been a central theme in the neo-liberal macroeconomics promoted by the Bad Samaritans. They argue that government should not live beyond its means and must always balance its budget. Deficit spending, they argue, only leads to inflation and undermines economic stability, which, in turn, reduces growth and diminishes the living standards of people on fixed income. Once again, who can argue against prudence? But, as in the case of inflation, the real question is what exactly it means to be prudent. For one thing, being prudent does not mean that the government has to balance its books every year, as is preached to developing countries by the Bad Samaritans.

 

pages: 312 words: 91,538

The Fear Index by Robert Harris

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algorithmic trading, backtesting, banking crisis, dark matter, family office, Fellow of the Royal Society, fixed income, Flash crash, high net worth, implied volatility, mutually assured destruction, Renaissance Technologies, speech recognition

‘We have various prime brokers these days, not just AmCor.’ ‘More’s the pity,’ said Easterbrook, laughing. Quarry said, ‘With the greatest respect to Bill, we don’t want one single brokerage firm knowing all our strategies. At the moment we use a mix of big banks and specialist houses: three for equities, three for commodities and five for fixed income. Let’s take a look at the hardware, shall we?’ As the group moved off, Quarry pulled Hoffmann aside. ‘Am I missing something here,’ he said quietly, ‘or are those positions way out of line?’ ‘They do look a little more exposed than normal,’ agreed Hoffmann, ‘but nothing to worry about. Now I think of it, LJ mentioned that Gana wanted a meeting of the Risk Committee.

His method was to show them the independently back-tested results of Hoffmann’s algorithm and the mouth-watering projections of future returns, then break it to them that the fund was already closed: he had only fulfilled his engagement to speak in order to be polite but they didn’t need any more money, sorry. Afterwards the investors would come looking for him in the hotel bar; it worked nearly every time. Quarry had hired a guy from BNP Paribas to oversee the back office, a receptionist, a secretary, and a French fixed-income trader from AmCor who had run into some regulatory issues and needed to get out of London fast. On the technical side, Hoffmann had recruited an astrophysicist from CERN and a Polish mathematics professor to serve as quants. They had run simulations throughout the summer and had gone live in October 2002 with $107 million in assets under management.

If we start liquidating positions this size too quickly, we’ll move prices.’ Hoffmann nodded. ‘That’s true, but VIXAL will help us achieve the optimums, even in override.’ He looked up at the row of digital clocks beneath the giant TV screens. ‘We’ve still got just over three hours before America closes. Imre, will you and Dieter help out with fixed income and currencies? Franco and Jon, take three or four guys each and divide up stocks and sector bets. Kolya, you do the same with the indices. Everyone else in their normal sections.’ ‘If you encounter any problems,’ said Quarry, ‘Alex and I will be here to help out. And can I just say: don’t anyone think for a second that this is a retreat.

 

pages: 347 words: 99,317

Bad Samaritans: The Guilty Secrets of Rich Nations and the Threat to Global Prosperity by Ha-Joon Chang

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affirmative action, Albert Einstein, banking crisis, Big bang: deregulation of the City of London, bilateral investment treaty, borderless world, Bretton Woods, British Empire, Brownian motion, call centre, capital controls, central bank independence, colonial rule, Corn Laws, corporate governance, David Ricardo: comparative advantage, Deng Xiaoping, Doha Development Round, en.wikipedia.org, falling living standards, Fellow of the Royal Society, financial deregulation, fixed income, Francis Fukuyama: the end of history, income inequality, income per capita, industrial robot, Isaac Newton, joint-stock company, Joseph Schumpeter, Kenneth Rogoff, labour mobility, land reform, low skilled workers, market bubble, market fundamentalism, Martin Wolf, means of production, moral hazard, offshore financial centre, oil shock, price stability, principal–agent problem, Ronald Reagan, South Sea Bubble, structural adjustment programs, The Wealth of Nations by Adam Smith, trade liberalization, transfer pricing, urban sprawl, World Values Survey

Neo-liberals would argue that all inflation – moderate or not – is still objectionable, because it disproportionately hurts people on fixed incomes – notably wage earners and pensioners, who are the most vulnerable sections of the population. Paul Volcker, the chairman of the US Federal Reserve Board (the US central bank) under Ronald Reagan (1979–87), argued: ‘Inflation is thought of as a cruel, and maybe the cruellest, tax because it hits in a many-sectored way, in an unplanned way, and it hits the people on a fixed income hardest’.16 But this is only half the story. Lower inflation may mean that what the workers have already earned is better protected, but the policies that are needed to generate this outcome may reduce what they can earn in the future.

Emphasis on fiscal prudence has been a central theme in the neo-liberal macroeconomics promoted by the Bad Samaritans. They argue that government should not live beyond its means and must always balance its budget. Deficit spending, they argue, only leads to inflation and undermines economic stability, which, in turn, reduces growth and diminishes the living standards of people on fixed income. Once again, who can argue against prudence? But, as in the case of inflation, the real question is what exactly it means to be prudent. For one thing, being prudent does not mean that the government has to balance its books every year, as is preached to developing countries by the Bad Samaritans.

 

pages: 285 words: 86,174

Twilight of the Elites: America After Meritocracy by Chris Hayes

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affirmative action, Affordable Care Act / Obamacare, asset-backed security, barriers to entry, Berlin Wall, Bernie Madoff, carried interest, Climategate, Climatic Research Unit, collapse of Lehman Brothers, collective bargaining, Credit Default Swap, dark matter, David Brooks, David Graeber, deindustrialization, Fall of the Berlin Wall, financial deregulation, fixed income, full employment, George Akerlof, hiring and firing, income inequality, Jane Jacobs, jimmy wales, Julian Assange, Mark Zuckerberg, mass affluent, means of production, meta analysis, meta-analysis, moral hazard, Naomi Klein, Nate Silver, peak oil, Plutocrats, plutocrats, Ponzi scheme, Ralph Waldo Emerson, rolodex, The Spirit Level, too big to fail, University of East Anglia, We are the 99%, WikiLeaks, women in the workforce

Further compounding the problem was that the storm hit at the very end of the month, a time when those on fixed income, and Temporary Assistance for Needy Families, were at their most cash strapped. During congressional hearings devoted to untangling what went wrong during Katrina, Representative Gene Taylor pointed this out to FEMA head Michael Brown: “In all these scenarios that I’m sure you’ve thought out, did FEMA bother to realize that it is the 28th of the month, a lot of people live on fixed income, be it a Social Security check or a retirement check, they’ve already made their necessary purchase for the month.

: See Frank Bass, “Katrina’s Worst-Hit Victims Much Poorer Than Rest of America, Census Analysis Shows,” Associated Press, September 4, 2005. 22 “I’ve only got like $80 to my name”: Morning Edition, National Public Radio, September 2, 2005. 23 Among the poor nationwide, 20 percent live in households that don’t have access to a car, and among the poor in the city of New Orleans that number was 47 percent: See Alan Berube et al., “Economic Difference in Household Automobile Ownership Rates: Implications for Evacuation Policy,” pp. 7–8, http://socrates.berkeley.edu/~raphael/BerubeDeakenRaphael.pdf, accessed January 23, 2012. 24 “a lot of people live on fixed income, be it a Social Security check or a retirement check” … “It is not the role of the federal government to supply five gallons of gas”: See U.S. House of Representatives, A Failure of Initiative: Final Report of the Select Bipartisan Committee to Investigate the Preparation for and Response to Hurricane Katrina (Washington, D.C.: U.S.

 

pages: 584 words: 187,436

More Money Than God: Hedge Funds and the Making of a New Elite by Sebastian Mallaby

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Andrei Shleifer, Asian financial crisis, asset-backed security, automated trading system, bank run, barriers to entry, Benoit Mandelbrot, Berlin Wall, Bernie Madoff, Big bang: deregulation of the City of London, Bonfire of the Vanities, Bretton Woods, capital controls, Carmen Reinhart, collapse of Lehman Brothers, collateralized debt obligation, Credit Default Swap, credit default swaps / collateralized debt obligations, crony capitalism, currency manipulation / currency intervention, currency peg, Elliott wave, Eugene Fama: efficient market hypothesis, failed state, Fall of the Berlin Wall, financial deregulation, financial innovation, financial intermediation, fixed income, full employment, German hyperinflation, High speed trading, index fund, Kenneth Rogoff, Long Term Capital Management, margin call, market bubble, market clearing, market fundamentalism, merger arbitrage, moral hazard, natural language processing, Network effects, new economy, Nikolai Kondratiev, pattern recognition, pre–internet, quantitative hedge fund, quantitative trading / quantitative finance, random walk, Renaissance Technologies, Richard Thaler, risk-adjusted returns, risk/return, rolodex, Sharpe ratio, short selling, Silicon Valley, South Sea Bubble, sovereign wealth fund, statistical arbitrage, statistical model, technology bubble, The Great Moderation, The Myth of the Rational Market, too big to fail, transaction costs

By calculating the risk of losses, Long-Term could hold the capital it needed and no more, turning minuscule price anomalies into fabulous profits. Yet as the scholars savored their glory, Long-Term reached a fateful crossroads. Back in the 1980s, Meriwether and his professors had been the upstarts on Wall Street; one decade on, nearly all investment banks had fixed-income arbitrage desks that competed with them directly.23 In the first half of 1997, LTCM’s profits had started to slow down, and the partners began to do some soul-searching. One response to shrunken opportunity was to shrink the fund, returning money to investors. But LTCM was not ready to shrink to the point of giving up.

Shaw got hurt in the bond-market turbulence that accompanied Long-Term Capital’s collapse in 1998—“It could have been the end of the game for Shaw at that point,” one of the firm’s traders said later. The company sold part of its trading book, taking a loss that wiped out that year’s gains in all its other strategies combined. Having learned how highly leveraged fixed-income strategies could get hit in a liquidity crunch, Shaw abandoned bond arbitrage for a few years, though by 2002 it had tiptoed back into it. WHILE SHAW WAS BUILDING HIS MACHINE, ANOTHER effort was under way in a surprising corner of the industry. Paul Tudor Jones, rock-and-roll trader and Robin Hood founder, was investing the fruits of his winnings in a computer-trading project.

It would have been less likely to fly with a real hedge fund. Ralph Cioffi himself was not the sort of figure who could have launched his own hedge fund easily. As a salesman, he had virtually no experience in controlling portfolio risk—indeed, some Bear executives argued that he should not be allowed to do so. Paul Friedman, the COO of Bear’s fixed-income desk, said afterward, “There were a fair number of skeptics internally who couldn’t figure out how this guy—who was bright but had never managed money—was now going to be running money. He knew nothing about risk management, had never written a ticket in his life that wasn’t someone else’s money.”15 Likewise, Cioffi was short on managerial ability: In a brief stint as a supervisor, he had performed disappointingly.

 

pages: 278 words: 82,069

Meltdown: How Greed and Corruption Shattered Our Financial System and How We Can Recover by Katrina Vanden Heuvel, William Greider

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Asian financial crisis, banking crisis, Bretton Woods, capital controls, carried interest, central bank independence, centre right, collateralized debt obligation, conceptual framework, corporate governance, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, declining real wages, deindustrialization, Exxon Valdez, falling living standards, financial deregulation, financial innovation, Financial Instability Hypothesis, fixed income, floating exchange rates, full employment, housing crisis, Howard Zinn, Hyman Minsky, income inequality, kremlinology, Long Term Capital Management, margin call, market bubble, market fundamentalism, McMansion, mortgage debt, Naomi Klein, new economy, offshore financial centre, payday loans, pets.com, Plutocrats, plutocrats, Ponzi scheme, price stability, pushing on a string, race to the bottom, Ralph Nader, rent control, Robert Shiller, Robert Shiller, Ronald Reagan, savings glut, sovereign wealth fund, structural adjustment programs, The Great Moderation, too big to fail, trade liberalization, transcontinental railway, trickle-down economics, union organizing, wage slave, Washington Consensus, women in the workforce, working poor, Y2K

Two months later there’s a package of two more loans, totaling about $125,000 and owed to California-based IndyMac Bank. The IndyMac loan package is a classic subprime product—interest-only payments for five years, at a fixed rate of just over 6 percent, then adjusting upward to about 9 percent plus the principal. “That is just not an appropriate loan product for someone who’s 76 years old and who’s on a fixed income,” says Atlanta Legal Aid Society attorney Sarah Bolling, who’s representing the Mitchells in their effort to keep their house. “The only calculation that would make this make sense is to say, ‘Well, we’ll give him a low rate and in five years he won’t be alive.’ But that’s pretty cynical.” Not that it mattered: George managed to pay the loan for only two months before falling behind.

The pain of homeowners has now spread throughout the economy. We must challenge plans that bail out the rich, put out the poor and put down the middle class. We can’t just bail out Wall Street and ignore Main Street. The bailout must be bottom up, not just top down. The poor—the unemployed poor, the working poor and the fixed-income poor—must benefit from the investment of their tax dollars. Any “solution” or remedy must be judged by how it affects “the least of these.” The oversight committees and the overseers must come off the payroll of Wall Street. They cannot eat from the same trough and retain any credibility as regulators.

 

pages: 322 words: 77,341

I.O.U.: Why Everyone Owes Everyone and No One Can Pay by John Lanchester

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asset-backed security, bank run, banking crisis, Berlin Wall, Bernie Madoff, Big bang: deregulation of the City of London, Black-Scholes formula, Celtic Tiger, collateralized debt obligation, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, Daniel Kahneman / Amos Tversky, diversified portfolio, double entry bookkeeping, Exxon Valdez, Fall of the Berlin Wall, financial deregulation, financial innovation, fixed income, George Akerlof, greed is good, hindsight bias, housing crisis, Hyman Minsky, interest rate swap, invisible hand, Jane Jacobs, John Maynard Keynes: Economic Possibilities for our Grandchildren, laissez-faire capitalism, liquidity trap, Long Term Capital Management, loss aversion, Martin Wolf, mortgage debt, mortgage tax deduction, mutually assured destruction, new economy, Nick Leeson, Northern Rock, Own Your Own Home, Ponzi scheme, quantitative easing, reserve currency, risk-adjusted returns, Robert Shiller, Robert Shiller, Ronald Reagan, shareholder value, South Sea Bubble, statistical model, The Great Moderation, the payments system, too big to fail, tulip mania, value at risk

This is what the math looks like:* I have absolutely no idea what any of that means, but in plain English it is a way of modeling lots of different things happening in different ways at the same time. The formula was already much used in statistics; Li found a way of applying it to the world of CDOs and published the result in The Journal of Fixed Income (which is basically Zoo or Heat for the CDO market), in a paper called “On Default Correlation: A Copula Function Approach.” He had found the Great White Whale of the CDO market, a way to correlate the apparently uncorrelatable—and thus had opened up the whole field of subprime loans as a source of CDOs.

The power to set interest rates had been something of a Holy Grail for those economists who argued that the management of inflation was too important a matter to be left to politicians. I’ve been writing about interest rates and inflation in the way that economists usually do, as if they were matters of technical management of the economy, but another way of thinking of them is in terms of whom they directly benefit and whom they directly punish. For people on fixed incomes, inflation is a disaster, whereas for government employees and others with incomes protected against inflation it is much more neutral; for middle-class savers, it can be catastrophic; for people in debt, it can bring either ruin or—if their debt is of a fixed amount, one whose real value will go down as inflation eats it up—it can be a godsend.

 

pages: 192 words: 72,822

Freedom Without Borders by Hoyt L. Barber

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accounting loophole / creative accounting, Affordable Care Act / Obamacare, Albert Einstein, banking crisis, diversification, El Camino Real, estate planning, fiat currency, financial independence, fixed income, high net worth, illegal immigration, interest rate swap, obamacare, offshore financial centre, passive income, quantitative easing, reserve currency, road to serfdom, too big to fail

And, last but not least but maybe most important, right after your ballast is full, you may wish to consider the following stocks. There are some gold and silver mining firms that are producing great returns nowadays, and they stand to do even better with the upward pressure on them coming from currency depreciation, the poor economic outlook, political unrest in many places, poor fixed-income returns, the uncertainty of America’s future in the world and at home, and war and threats of more wars—these things are making precious metals and precious metals-related investments rise. Possibilities include precious metals stocks, not bullion or coins; securities 48 Freedom Without Borders in precious metals mining firms, such as major and secondary gold mining stocks; silver mining companies; gold exchange-traded funds (GETFs), copper, zinc, and uranium mining stocks; platinum and palladium mining stocks; and strategic metals stocks.

And, you don’t want to find yourself in a Mexican prison, which could happen fairly easily under the country’s Napoleonic law and sometimes corrupt policing activities, so the stability of the country you choose should be a high priority. On a lighter side, and the reason why there are many expatriate Americans and Canadians living in Mexico, the country boasts a relatively nice climate and has made it easy for non-Mexican retirees on fixed incomes to live inexpensively and obtain legal residency. There is also the incentive to invest in government-approved projects and receive a special residency permit. Mexico favors new immigration and has multiple plans to choose from, although many people living there just get a new tourist permit every 180 days.

 

The Intelligent Asset Allocator: How to Build Your Portfolio to Maximize Returns and Minimize Risk by William J. Bernstein

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asset allocation, backtesting, capital asset pricing model, computer age, correlation coefficient, diversification, diversified portfolio, Eugene Fama: efficient market hypothesis, fixed income, index arbitrage, index fund, Long Term Capital Management, p-value, passive investing, prediction markets, random walk, Richard Thaler, risk tolerance, risk-adjusted returns, risk/return, South Sea Bubble, the scientific method, time value of money, transaction costs, Vanguard fund, Yogi Berra, zero-coupon bond

However, this relationship changes from month to month and over varying maturities. At the present time the situation with respect to foreign bond funds is highly unsatisfactory. For starters, because of Chairman Emeritus Bogle’s dislike of currency exposure, Vanguard offers no low-expense international bond funds. Probably the best is Standish, International Fixed-Income Fund, but this has a minimum of $100,000, or $10,000 152 The Intelligent Asset Allocator when bought through certain supermarkets. It is fully hedged and has a reasonable expense ratio of 0.53%. American Century and T. Rowe Price offer largely unhedged funds with lower minimums but higher expenses (about 0.8%).

For this convenience, you are probably sacrificing 1% to 2% of long-term return for a given degree of risk. Another compromise would be to split your stock component equally into six Vanguard index funds (Value, 500 Index, Small-Cap, European, Pacific, and Emerging Markets) for your stock component and use one of their short-term bond funds for the fixed-income component. Even simpler, Vanguard offers a Total International Index Fund. For those who value the convenience of simple portfolios, these compromises may be worthwhile. (One caveat about the Vanguard Total International Fund: It is a “fund of funds” and thus not eligible for the foreign tax credit.

 

pages: 416 words: 118,592

A Random Walk Down Wall Street: The Time-Tested Strategy for Successful Investing by Burton G. Malkiel

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accounting loophole / creative accounting, Albert Einstein, asset allocation, asset-backed security, backtesting, Bernie Madoff, BRICs, capital asset pricing model, compound rate of return, correlation coefficient, Credit Default Swap, Daniel Kahneman / Amos Tversky, diversification, diversified portfolio, Elliott wave, Eugene Fama: efficient market hypothesis, experimental subject, feminist movement, financial innovation, fixed income, framing effect, hindsight bias, Home mortgage interest deduction, index fund, invisible hand, Isaac Newton, Long Term Capital Management, loss aversion, margin call, market bubble, mortgage tax deduction, new economy, Own Your Own Home, passive investing, pets.com, Ponzi scheme, price stability, profit maximization, publish or perish, purchasing power parity, RAND corporation, random walk, Richard Thaler, risk tolerance, risk-adjusted returns, risk/return, Robert Shiller, Robert Shiller, short selling, Silicon Valley, South Sea Bubble, The Myth of the Rational Market, The Wisdom of Crowds, transaction costs, Vanguard fund, zero-coupon bond

To the extent that stocks tend to suffer as interest rates go up, equities are a risky investment, and those stocks that are particularly vulnerable to increases in the general level of interest rates are especially risky. Thus, some stocks and fixed-income investments tend to move in parallel, and these stocks will not be helpful in reducing the risk of a bond portfolio. Because fixed-income securities are a major part of the portfolios of many institutional investors, this systematic risk factor is particularly important for some of the largest investors in the market. Changes in the rate of inflation will similarly tend to have a systematic influence on the returns from common stocks.

THE DO-IT-YOURSELF METHOD Many retirees will prefer to keep control of at least a portion of the assets they have saved for a retirement nest egg. Let’s suppose the assets are invested in accordance with the bottom pie chart Late Sixties and Beyond, that is, a bit more than half in equities and the rest in fixed-income investments. Now that you are ready to crack open the nest egg for living expenses in retirement, how much can you spend if you want to be sure that your money will last as long as you do? My suggestion is that you use “the 4 percent solution.”* Under the “4 percent solution,” you should spend no more than 4 percent of the total value of your nest egg annually.

 

pages: 467 words: 154,960

Trend Following: How Great Traders Make Millions in Up or Down Markets by Michael W. Covel

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Albert Einstein, asset allocation, Atul Gawande, backtesting, Bernie Madoff, Black Swan, buy low sell high, capital asset pricing model, Clayton Christensen, commodity trading advisor, correlation coefficient, Daniel Kahneman / Amos Tversky, delayed gratification, deliberate practice, diversification, diversified portfolio, Elliott wave, Emanuel Derman, Eugene Fama: efficient market hypothesis, fiat currency, fixed income, game design, hindsight bias, housing crisis, index fund, Isaac Newton, John Nash: game theory, linear programming, Long Term Capital Management, mandelbrot fractal, margin call, market bubble, market fundamentalism, market microstructure, mental accounting, Nash equilibrium, new economy, Nick Leeson, Ponzi scheme, prediction markets, random walk, Renaissance Technologies, Richard Feynman, Richard Feynman, risk tolerance, risk-adjusted returns, risk/return, Robert Shiller, Robert Shiller, shareholder value, Sharpe ratio, short selling, South Sea Bubble, Stephen Hawking, systematic trading, the scientific method, Thomas L Friedman, too big to fail, transaction costs, upwardly mobile, value at risk, Vanguard fund, volatility arbitrage, William of Occam

Hedge-Fund Benchmarks: Information Content and Biases, Financial Analyst Journal (2002). Fung, William and David A. Hsieh. Pricing Trend Following Trading Strategies: Theory and Empirical Evidence (1998). Fung, William, and David A. Hsieh. The Risk in Hedge Fund Strategies: Theory and Evidence from Fixed Income Funds. Journal of Fixed Income, 14 (2002). Gadsden, Stephen. Managed the Future. The MoneyLetter, Vol. 25, No. 20 (October 2001). Gallacher, William R. Winner Take All. New York: McGraw-Hill, 1994. Gann, W.D. How to Make Profits Trading in Commodities. Pomeroy: Library of Gann Publishing Co. Inc., 1951. Garber, Peter M.

Trend trader John W. Henry has long made the case for his absolute return strategy: “JWH’s overall objective is to provide absolute returns. JWH is an absolute return manager, insofar as it does not manage against a natural benchmark. Relative return managers, such as most traditional equity or fixed income managers, are measured on how they perform relative to some predetermined benchmark. JWH has no such investment benchmark, so its aim is to achieve returns in all market conditions, and is thus considered an absolute return manager.”3 Shoot for a benchmark in return, and you run with the crowd.

 

pages: 471 words: 124,585

The Ascent of Money: A Financial History of the World by Niall Ferguson

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Admiral Zheng, Andrei Shleifer, Asian financial crisis, asset allocation, asset-backed security, Atahualpa, bank run, banking crisis, banks create money, Black Swan, Black-Scholes formula, Bonfire of the Vanities, Bretton Woods, BRICs, British Empire, capital asset pricing model, capital controls, Carmen Reinhart, Cass Sunstein, central bank independence, collateralized debt obligation, colonial exploitation, Corn Laws, corporate governance, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, currency manipulation / currency intervention, currency peg, Daniel Kahneman / Amos Tversky, deglobalization, diversification, diversified portfolio, double entry bookkeeping, Edmond Halley, Edward Glaeser, Edward Lloyd's coffeehouse, financial innovation, financial intermediation, fixed income, floating exchange rates, Fractional reserve banking, Francisco Pizarro, full employment, German hyperinflation, Hernando de Soto, high net worth, hindsight bias, Home mortgage interest deduction, Hyman Minsky, income inequality, interest rate swap, Isaac Newton, iterative process, joint-stock company, joint-stock limited liability company, Joseph Schumpeter, Kenneth Rogoff, knowledge economy, labour mobility, London Interbank Offered Rate, Long Term Capital Management, market bubble, market fundamentalism, means of production, Mikhail Gorbachev, money: store of value / unit of account / medium of exchange, moral hazard, mortgage debt, mortgage tax deduction, Naomi Klein, Nick Leeson, Northern Rock, pension reform, price anchoring, price stability, principal–agent problem, probability theory / Blaise Pascal / Pierre de Fermat, profit motive, quantitative hedge fund, RAND corporation, random walk, rent control, rent-seeking, reserve currency, Richard Thaler, Robert Shiller, Robert Shiller, Ronald Reagan, savings glut, seigniorage, short selling, Silicon Valley, South Sea Bubble, sovereign wealth fund, spice trade, structural adjustment programs, technology bubble, The Wealth of Nations by Adam Smith, The Wisdom of Crowds, Thomas Malthus, Thorstein Veblen, too big to fail, transaction costs, value at risk, Washington Consensus, Yom Kippur War

But, perhaps most importantly of all, the social constituency with an interest in positive real returns on bonds has grown. In the developed world a rising share of wealth is held in the form of private pension funds and other savings institutions that are required, or at least expected, to hold a high proportion of their assets in the form of government bonds and other fixed income securities. In 2007 a survey of pension funds in eleven major economies revealed that bonds accounted for more than a quarter of their assets, substantially lower than in past decades, but still a substantial share.71 With every passing year, the proportion of the population living off the income from such funds goes up, as the share of retirees increases.

Which brings us back to Italy, the land where the bond market was born. In 1965, on the eve of the Great Inflation, just 10 per cent of Italians were aged 65 or over. Today the proportion is twice that: around a fifth. And by 2050 it is projected by the United Nations to be just under a third. In such a greying society, there is a huge and growing need for fixed income securities, and for low inflation to ensure that the interest they pay retains its purchasing power. As more and more people leave the workforce, recurrent public sector deficits ensure that the bond market will never be short of new bonds to sell. And the fact that Italy has surrendered its monetary sovereignty to the European Central Bank means that there should never be another opportunity for Italian politicians to print money and set off the inflationary spiral.

See also David Wessel, ‘Housing Bust Offers Insights’, Wall Street Journal, 10 April 2008. 59 Henry Louis Gates Jr., ‘Forty Acres and a Gap in Wealth’, New York Times, 18 November 2007. 60 Andy Meek, ‘Frayser Foreclosures Revealed’, Daily News, 21 September 2006. 61 http://www.responsiblelending.org/page.jsp?itemID=32032031. 62 Credit Suisse, ‘Foreclosure Trends - A Sobering Reality’, Fixed Income Research (23 April 2008). 63 See Prabha Natarajan, ‘Fannie, Freddie Could Hurt U.S. Credit’, Wall Street Journal, 15 April 2008. 64 Economic Report of the President 2007, tables B-77 and B-76: http:// www.gpoaccess.gov/eop/. 65 George Magnus, ‘Managing Minsky’, UBS research paper, 27 March 2008. 66 Hernando de Soto, The Mystery of Capital: Why Capitalism Triumphs in the West and Fails Everywhere Else (London, 2001). 67 Idem, ‘Interview: Land and Freedom’, New Scientist, 27 April 2002. 68 Idem, The Other Path (New York, 1989). 69 Rafael Di Tella, Sebastian Galiani and Ernesto Schargrodsky, ‘The Formation of Beliefs: Evidence from the Allocation of Land Titles to Squatters’, Quarterly Journal of Economics, 122, 1 (February 2007), pp. 209-41. 70 ‘The Mystery of Capital Deepens’, The Economist, 26 August 2006. 71 See John Gravois, ‘The De Soto Delusion’, Slate, 29 January 2005: http://state.msn.com/id/2112792/. 72 The entire profit is transferred to a Rehabilitation Fund created to cope with emergency situations, in return for an exemption from corporate income tax. 73 Connie Black, ‘Millions for Millions’, New Yorker, 30 October 2006, pp. 62-73. 74 Shiller, ‘Recent Trends in House Prices’. 75 Edward L.

 

pages: 460 words: 122,556

The End of Wall Street by Roger Lowenstein

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Asian financial crisis, asset-backed security, bank run, banking crisis, Berlin Wall, Bernie Madoff, Black Swan, Brownian motion, Carmen Reinhart, collateralized debt obligation, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, diversified portfolio, eurozone crisis, Fall of the Berlin Wall, fear of failure, financial deregulation, fixed income, high net worth, Hyman Minsky, interest rate derivative, invisible hand, Kenneth Rogoff, London Interbank Offered Rate, Long Term Capital Management, margin call, market bubble, Martin Wolf, moral hazard, mortgage debt, Northern Rock, Ponzi scheme, profit motive, race to the bottom, risk tolerance, Ronald Reagan, savings glut, short selling, sovereign wealth fund, statistical model, the payments system, too big to fail, tulip mania, Y2K

Accounting problems or no, the mortgage giants Fannie and Freddie were the bulwarks of the American housing industry. Thanks to them, millions of Americans got mortgages at, it was supposed, lower interest rates than they otherwise would have. The companies had the implicit backing of the U.S. government, which allowed them to borrow at cheaper rates than other financial firms. Every fixed-income manager in the business owned their bonds. From Washington, D.C., to Beijing to Rome, a vast array of investors including top-drawer institutions and many national governments owned $5 trillion of their paper. The implicit government backing satisfied most investors, but it did not satisfy Rodriguez, who scrutinized securities with the same care that his father, a jeweler who had emigrated from Mexico, had exercised in picking over gems.

Not so many years ago, Lehman had been a private firm that guarded its partners’ capital and mainly brokered deals for clients. Now it deployed its capital while barely seeming to notice. Gregory and Fuld each viewed dissenters as disloyal. Both were irritated by Michael Gelband, a twenty-four-year veteran who ran the fixed-income division. Gelband tried to brake the flow of leveraged loans and also opposed the Australian deal. Gregory told him he needed to take more risk, but it became clear that the Fuld-Gregory duo and Gelband had differing visions of the future. In May ’07, Gelband left the firm, depriving Lehman of its most outspoken advocate for reducing risk.

During a conference call in mid-October with Wall Street analysts, Michael Mayo of Deutsche Bank boldly called for a change at the top:Chuck [Prince] said this was the year of no excuses. You guys say the results are disappointing. So what are the repercussions at the level of the office of the chairman? Prince, in seeming denial, insisted that the bank was on track. Well, Mike . . . if you look at our results this quarter, no one can be happy with the results in our fixed-income business or with the results that relate to that. But I think if you are able to look at the other parts of our business, if you look at the strategic plan that we are executing on, I think any fair-minded person would say that strategic plan is working.7 In another striking display of optimism, Ben Bernanke proclaimed, in a speech in mid-October, that “the banking system is healthy.”

 

pages: 512 words: 162,977

New Market Wizards: Conversations With America's Top Traders by Jack D. Schwager

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backtesting, Benoit Mandelbrot, Berlin Wall, Black-Scholes formula, butterfly effect, commodity trading advisor, Elliott wave, fixed income, full employment, implied volatility, interest rate swap, Louis Bachelier, margin call, market clearing, market fundamentalism, paper trading, pattern recognition, placebo effect, prediction markets, Ralph Nelson Elliott, random walk, risk tolerance, risk/return, Saturday Night Live, Sharpe ratio, the map is not the territory, transaction costs, War on Poverty

PART II The World’s Biggest Market Bill Lipschutz THE SULTAN OF CURRENCIES Q uick, what is the world’s largest financial market? Stocks? No, not even if you aggregate all the world’s equity markets. Of course, it must be bonds. Just think of the huge government debt that has been generated worldwide. Good guess, but wrong again, even if you combine all the world’s fixed-income markets. The correct answer is currencies. In the scope of all financial trading, stocks and bonds are peanuts compared with currencies. It is estimated that, on average, $1 trillion is traded each day in the world currency markets. The vast majority of this currency trading does not take place on any organized exchange but rather is transacted in the interbank currency market.

Also, I worked for Salomon Brothers, which at that time provided an element of mystique: “We don’t know what they do, but they make a lot of money.” Another factor in my favor was that, although I worked for an 30 / The New Market Wizard investment bank, I tried not to act like a pompous investment banker. The typical guys in investment banks who were doing foreign exchange back then were fixed-income types. They were prissy in the eyes of the FX [foreign exchange] guys. They wore suspenders and Hermés ties; they were white-wine-and-arugula-salad type of guys. They were not the go-out-for-pasta-and-dribble-marinara-sauce-all-over-yourself type of guys, which is what the foreign exchange traders basically were.

I wanted to run trading and let someone else run the administrative side. That’s not the style of Salomon Brothers, however. Instead they brought in someone from above me. Initially, I thought that it might work out, but the person they picked had no foreign exchange background at all. He came from the fixed-income department and saw everything in the eyes of the bond world. He would frequently ask, “Gee, isn’t that just like the government bond market?” The answer in my mind was, “No, it’s nothing like the government bond market. Forget the government bond market.” How does your current trading for your own management firm differ from your trading at Salomon?

 

pages: 478 words: 126,416

Other People's Money: Masters of the Universe or Servants of the People? by John Kay

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Affordable Care Act / Obamacare, asset-backed security, bank run, banking crisis, Basel III, Bernie Madoff, Big bang: deregulation of the City of London, bitcoin, Black Swan, Bonfire of the Vanities, bonus culture, Bretton Woods, call centre, capital asset pricing model, Capital in the Twenty-First Century by Thomas Piketty, cognitive dissonance, corporate governance, Credit Default Swap, cross-subsidies, dematerialisation, diversification, diversified portfolio, Edward Lloyd's coffeehouse, Elon Musk, Eugene Fama: efficient market hypothesis, eurozone crisis, financial innovation, financial intermediation, fixed income, Flash crash, forward guidance, Fractional reserve banking, full employment, George Akerlof, German hyperinflation, Goldman Sachs: Vampire Squid, Growth in a Time of Debt, income inequality, index fund, inflation targeting, interest rate derivative, interest rate swap, invention of the wheel, Irish property bubble, Isaac Newton, London Whale, Long Term Capital Management, loose coupling, low cost carrier, M-Pesa, market design, millennium bug, mittelstand, moral hazard, mortgage debt, new economy, Nick Leeson, Northern Rock, obamacare, Occupy movement, offshore financial centre, oil shock, passive investing, peer-to-peer lending, performance metric, Peter Thiel, Piper Alpha, Ponzi scheme, price mechanism, purchasing power parity, quantitative easing, quantitative trading / quantitative finance, railway mania, Ralph Waldo Emerson, random walk, regulatory arbitrage, Renaissance Technologies, rent control, Richard Feynman, risk tolerance, road to serfdom, Robert Shiller, Robert Shiller, Ronald Reagan, Schrödinger's Cat, shareholder value, Silicon Valley, Simon Kuznets, South Sea Bubble, sovereign wealth fund, Spread Networks laid a new fibre optics cable between New York and Chicago, Steve Jobs, Steve Wozniak, The Great Moderation, The Market for Lemons, the market place, The Myth of the Rational Market, the payments system, The Wealth of Nations by Adam Smith, The Wisdom of Crowds, Tobin tax, too big to fail, transaction costs, tulip mania, Upton Sinclair, Vanguard fund, Washington Consensus, We are the 99%, Yom Kippur War

The new commission would be performing its task well if it facilitated the issue of securities and promoted exchange. As the agency increased the scope of its activity, if not necessarily its effectiveness or authority, that philosophy permeated the regulation of finance. And not just in the USA: the SEC would become a model for the regulation of financial markets around the world. In the 1980s fixed-income trading was added to the list of active markets. Bond trading had previously been a backwater for the likes of Nick Carraway: in London it was an activity in which success depended largely on being born into the right family. Lew Ranieri had been born in Brooklyn, and not to the right family – he had begun his Wall Street career in the mailroom of Salomon Bros.

The banks that created asset-backed securities paid the rating agencies – which appreciated that there was a competitive business in supplying such accreditation – and banks ‘reverse-engineered’ their products to fit the agencies’ models. Many investors and traders did not care much what was in the package so long as it achieved the required credit rating. The collapse of the asset-backed securities market would be at the centre of the global financial crisis. The elements of the new trading culture – based around fixed income, currency and commodities, and turbo-charged by derivatives – were now in place. Markets in shares were no longer the centre of speculative activity. Fixed interest, currency and, later, commodities (FICC) were central to the new trading culture. Sherman McCoy, the vainglorious anti-hero of Wolfe’s 1987 novel The Bonfire of the Vanities, was, like Nick Carraway, a bond trader.

Nick Carraway had given way to Sherman McCoy, and the Halifax was lusting after its share of the action. In the years that followed, many financial institutions continued (and still continue) to report profits from their trading activities. The mainspring of investment banking profits in recent years has been trading in fixed income, currency and commodities (FICC). But the aggregate value of debt securities and currencies is fixed, and although commodity prices fluctuate, the long-run trend has been downward. Individual businesses and traders can make profits at the expense of each other, but this cannot be true for the activity taken as a whole.

 

Investment: A History by Norton Reamer, Jesse Downing

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Albert Einstein, algorithmic trading, asset allocation, backtesting, banking crisis, Berlin Wall, Bernie Madoff, Brownian motion, buttonwood tree, California gold rush, capital asset pricing model, Carmen Reinhart, carried interest, colonial rule, credit crunch, Credit Default Swap, Daniel Kahneman / Amos Tversky, debt deflation, discounted cash flows, diversified portfolio, equity premium, estate planning, Eugene Fama: efficient market hypothesis, Fall of the Berlin Wall, family office, Fellow of the Royal Society, financial innovation, fixed income, Gordon Gekko, Henri Poincaré, high net worth, index fund, interest rate swap, invention of the telegraph, James Hargreaves, James Watt: steam engine, joint-stock company, Kenneth Rogoff, labor-force participation, land tenure, London Interbank Offered Rate, Long Term Capital Management, loss aversion, Louis Bachelier, margin call, means of production, Menlo Park, merger arbitrage, moral hazard, mortgage debt, Network effects, new economy, Nick Leeson, Own Your Own Home, pension reform, Ponzi scheme, price mechanism, principal–agent problem, profit maximization, quantitative easing, RAND corporation, random walk, Renaissance Technologies, Richard Thaler, risk tolerance, risk-adjusted returns, risk/return, Robert Shiller, Robert Shiller, Sand Hill Road, Sharpe ratio, short selling, Silicon Valley, South Sea Bubble, sovereign wealth fund, spinning jenny, statistical arbitrage, technology bubble, The Wealth of Nations by Adam Smith, time value of money, too big to fail, transaction costs, underbanked, Vanguard fund, working poor, yield curve

Despite the difficulty of categorizing hedge funds based on their strategies—many funds deploy a variety of approaches—the following list gives a broad overview of the relative composition of approaches. ASSETS UNDER MANAGEMENT IN 2014 Hedge Funds $2508.4 Billion Funds of Funds $455.3 Billion sectors: Convertible Arbitrage Distressed Securities Emerging Markets Equity Long Bias Equity Long/Short Equity Long-Only Equity Market Neutral Event Driven Fixed Income Macro Merger Arbitrage Multi-Strategy Other Sector Specific $29.5 Billion $184.9 Billion $277.6 Billion $203.8 Billion $202.3 Billion $132.5 Billion $42.6 Billion $291.2 Billion $396.7 Billion $204.0 Billion $30.4 Billion $273.8 Billion $96.6 Billion $142.5 Billion Source: “Hedge Fund Industry—Assets Under Management,” BarclayHedge Alternative Investment Databases, accessed 2015, http://www.barclayhedge.com/research/indices/ghs/mum/HF_Money_Under_Management .html.

In May 2005, Kirk Kerkorian made a tender offer for the equity of General Motors, offering about 15 percent above the previous day’s close. The very next day, S&P issued a downgrade on the debt of General Motors.22 This caused convertible arbitrage investors 266 Investment: A History to endure losses on the equity side (which they had shorted), but also on the debt (which they were long). Fixed income hedge funds differ fairly widely in the riskiness of the strategies employed. Some are rather risk averse, seeking to buy attractive debt securities that deliver healthy and uninterrupted payments. Others have far more complicated schemes to garner returns, such as exploiting aberrations in yield curves.

Institutions increasingly became owners of timber, purchasing from operators and owners in the foresting industry.52 Farmland (the land itself) and agriculture (the productive activity conducted on that land, such as the planting and harvesting of crops and grazing of livestock) are in much the same category. With most of the capital asset value deriving, likewise, from the real estate involved in these sectors, the history of alternative investment in agriculture and farmland is closely tied to the history of alternative investment in real estate, as discussed previously. infrastructure, fixed income, and other alternatives Investments in infrastructure projects, around the United States and the world, are a small piece of the alternative investment asset class. These can take the form of investments by retail and institutional investors in listed infrastructure equities, which may be publicly traded, master limited partnerships, and open-ended funds.53 More New Investment Forms 283 These infrastructure projects are often directed by local, state, or even the federal government.

 

pages: 425 words: 122,223

Capital Ideas: The Improbable Origins of Modern Wall Street by Peter L. Bernstein

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Albert Einstein, asset allocation, backtesting, Benoit Mandelbrot, Black-Scholes formula, Bonfire of the Vanities, Brownian motion, buy low sell high, capital asset pricing model, debt deflation, diversified portfolio, Eugene Fama: efficient market hypothesis, financial innovation, financial intermediation, fixed income, full employment, implied volatility, index arbitrage, index fund, interest rate swap, invisible hand, John von Neumann, Joseph Schumpeter, law of one price, linear programming, Louis Bachelier, mandelbrot fractal, martingale, means of production, new economy, New Journalism, profit maximization, Ralph Nader, RAND corporation, random walk, Richard Thaler, risk/return, Robert Shiller, Robert Shiller, Ronald Reagan, stochastic process, the market place, The Predators' Ball, the scientific method, The Wealth of Nations by Adam Smith, Thorstein Veblen, transaction costs, transfer pricing, zero-coupon bond

Traditionally, pension funds and other institutional investors, like individual investors, hired a single portfolio management organization, usually a bank. This overall manager had total responsibility for bonds as well as stocks, for determining the mix between the two, and for selecting the securities in each sector. After a time it became common to have one manager for equities and another for fixed-income securities, but in the early 1970s the idea of having a bevy of equity managers was still a novelty. Rosenberg could see no reason why Markowitz’s ideas about individual stocks would not apply equally well to a stable of individual portfolio managers. A properly diversified portfolio of risky stocks would have a high expected return but would be far less risky than any of the single holdings considered alone.

To justify the fees they charged, managers should be willing to take on more risk, to have the courage of their convictions—just as long as the client employed a diversified group of managers. The idea took hold. Today, it is a rare fund that has only one equity manager, and many have multiple managers for fixed-income investments and international securities as well. Clients ride herd on their active managers to stick to their appointed style and show a willingness to take on higher risks to bring in improved rates of return. When I reminded Rosenberg that MULMAN had changed the world, he replied, with typical understatement, “That’s interesting.

The experience of October 1987 has increased the market for products that offer precision in the control of investment risk. Many other purveyors have entered this market, some with offerings more unfamiliar and complex than anything on the menu at LOR. And the strategy has been applied with considerable success in the market for fixed-income securities. The most interesting applications derive from the essential promise of portfolio insurance: Over time and on the average, portfolio insurance allows the investor to enjoy the return on the better-performing of two assets, stocks and cash, while reducing the exposure to the asset with the lower rate of return.

 

pages: 342 words: 99,390

The greatest trade ever: the behind-the-scenes story of how John Paulson defied Wall Street and made financial history by Gregory Zuckerman

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1960s counterculture, banking crisis, collapse of Lehman Brothers, collateralized debt obligation, Credit Default Swap, credit default swaps / collateralized debt obligations, financial innovation, fixed income, index fund, Isaac Newton, Long Term Capital Management, margin call, Mark Zuckerberg, Menlo Park, merger arbitrage, mortgage debt, mortgage tax deduction, Ponzi scheme, Renaissance Technologies, rent control, Robert Shiller, Robert Shiller, rolodex, short selling, Silicon Valley, statistical arbitrage, Steve Ballmer, Steve Wozniak, technology bubble

He was immediately taken with her. Boklan’'s grandparents had come to New York’'s Lower East Side at the turn of the century, part of a wave of Jewish immigrants fleeing Lithuania and Romania in search of opportunity. Jacqueline was born in 1926, and after her father, Arthur, was hired to manage fixed-income sales for a bank, the Boklan family moved to Manhattan’'s Upper West Side. They rented an apartment in the Turin, a stately building on 93rd Street and Central Park West, across from Central Park, and enjoyed a well-to-do lifestyle for several years, with servants and a nanny to care for Jacqueline.7 But Boklan lost his job during the Great Depression and spent the rest of his life unable to return the family to its former stature.

My work is an echo of his research and writing, his guidance as close as the keyboard in front of me. The greatest trade ever brought John Paulson billions of dollars. The opportunity to write about it gave me my own fortune—--precious extra time with my father, of blessed memory. notes Chapter 11. Greenwich Associates, “"In U.S. Fixed Income, Hedge Funds Are the Biggest Game in Town,”" August 30, 2007; Mark Jickling and Alison A. Raab, “"Hedge Fund Failures,”" Congressional Research Service Report for Congress, December 4, 2006. 2. Dr. David DeBoskey, Charles W. Lamden School of Accountancy, San Diego State University College of Business Administration. 3.

 

pages: 576 words: 105,655

Austerity: The History of a Dangerous Idea by Mark Blyth

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accounting loophole / creative accounting, balance sheet recession, bank run, banking crisis, Black Swan, Bretton Woods, capital controls, Carmen Reinhart, Celtic Tiger, central bank independence, centre right, collateralized debt obligation, correlation does not imply causation, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, currency peg, debt deflation, deindustrialization, disintermediation, diversification, en.wikipedia.org, ending welfare as we know it, Eugene Fama: efficient market hypothesis, eurozone crisis, financial repression, fixed income, floating exchange rates, Fractional reserve banking, full employment, German hyperinflation, Gini coefficient, global reserve currency, Growth in a Time of Debt, Hyman Minsky, income inequality, interest rate swap, invisible hand, Irish property bubble, Joseph Schumpeter, Kenneth Rogoff, liquidationism / Banker’s doctrine / the Treasury view, Long Term Capital Management, market bubble, market clearing, Martin Wolf, moral hazard, mortgage debt, mortgage tax deduction, Occupy movement, offshore financial centre, paradox of thrift, price stability, quantitative easing, rent-seeking, reserve currency, road to serfdom, savings glut, short selling, structural adjustment programs, The Great Moderation, The Myth of the Rational Market, The Wealth of Nations by Adam Smith, Tobin tax, too big to fail, unorthodox policies, value at risk, Washington Consensus

As they further note, “The very countries that have insisted on wrenching economic adjustments in the debtor countries have often been the ones that have done the most to conceal the fragility of their own banks,” ibid., 8. 60. LCH Clearnet in London was the venue of choice. According to its website LCH Clearnet handles $12 trillion of repo trades each month by notional value. See “Fixed Income,” LCH Clearnet, http://www.lchclearnet.com/fixed_income/. 61. Hyun Song Shin, “The Global Banking Glut and Loan Risk Premium,” paper presented at the Mundell-Fleming Lecture, 2011 IMF Annual Research Conference, November 10–11, 2011, 17. Available at http://www.princeton.edu/~hsshin/www/mundell_fleming_lecture.pdf. 62.

 

pages: 262 words: 93,987

The Buy Side: A Wall Street Trader's Tale of Spectacular Excess by Turney Duff

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asset-backed security, Berlin Wall, buy low sell high, collateralized debt obligation, fixed income, Gordon Gekko, high net worth, urban sprawl

I can’t talk to anyone for more than a few seconds before feeling a tug at my back or a hand on my shoulder. I can see people across the room flashing a nod or toasting me with their drink. It seems all of Wall Street is here, at least all of Wall Street that matters. Every brokerage firm is represented: other buy side traders, sell siders, bankers, fixed income traders, and the rest. On the stage the group Naughty by Nature begins their hip-hop version of the Jackson 5 hit “ABC.” It takes just a few notes for the entire crowd to erupt, realizing they’re hearing the song “OPP.” Multiple rotating strobe lights frantically stripe the fist-pumping revelers.

I look around our office. The analysts are sitting silently, glued to their screens. Heather, the other trader, has a worried look on her face as she slumps low in her chair. Jeff looks like he hasn’t slept in months. I imagine all of Wall Street looks the same. It doesn’t matter: sell side, buy side, fixed income, equity, or private equity, we’re all screwed. I send an IM to James, with whom I started trading a few months ago. Let’s meet at 4:15, it says. Our code. Since 4:20 is synonymous with smoking weed, we thought meeting at 4:15 was only appropriate for cocaine. I trade a ton with James today, all day.

 

pages: 376 words: 109,092

Paper Promises by Philip Coggan

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accounting loophole / creative accounting, balance sheet recession, bank run, banking crisis, barriers to entry, Berlin Wall, Bernie Madoff, Black Swan, Bretton Woods, British Empire, call centre, capital controls, Carmen Reinhart, carried interest, Celtic Tiger, central bank independence, collapse of Lehman Brothers, collateralized debt obligation, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, currency manipulation / currency intervention, currency peg, debt deflation, delayed gratification, diversified portfolio, eurozone crisis, Fall of the Berlin Wall, falling living standards, fear of failure, financial innovation, financial repression, fixed income, floating exchange rates, full employment, German hyperinflation, global reserve currency, hiring and firing, Hyman Minsky, income inequality, inflation targeting, Isaac Newton, joint-stock company, Kenneth Rogoff, labour market flexibility, Long Term Capital Management, manufacturing employment, market bubble, market clearing, Martin Wolf, money: store of value / unit of account / medium of exchange, moral hazard, mortgage debt, Nick Leeson, Northern Rock, oil shale / tar sands, paradox of thrift, peak oil, pension reform, Plutocrats, plutocrats, Ponzi scheme, price stability, principal–agent problem, purchasing power parity, quantitative easing, QWERTY keyboard, railway mania, regulatory arbitrage, reserve currency, Robert Gordon, Robert Shiller, Robert Shiller, Ronald Reagan, savings glut, short selling, South Sea Bubble, sovereign wealth fund, special drawing rights, The Chicago School, The Great Moderation, The Wealth of Nations by Adam Smith, time value of money, too big to fail, trade route, tulip mania, value at risk, Washington Consensus, women in the workforce

European exporters to the US could build up dollar balances. The Eurodollar market flourished as a result of various US regulations, including the Interest Equalization Tax, which restricted the scale of borrowing in New York. Borrowers found it attractive to tap the pool of European capital, particularly in the form of fixed income issues known as Eurobonds. Investors were happy to buy the issues, particularly as interest was paid tax-free. Of course, bond buyers were supposed to declare the tax received but many did not. The archetypal Eurobond investor was deemed to be the Belgian dentist, attempting to escape his home country’s high taxes.

Free capital movements and floating exchange rates changed the financial sector in two big ways. First, they created the need for companies and investors to protect themselves against currency risk. The result was the development of financial futures markets, pioneered in Chicago, which traded first currencies, then fixed-income instruments, then equities. A vast, and profitable, derivatives market was born. Secondly, these huge capital movements created the need for bigger financial institutions. Stockbrokers had traditionally linked asset buyers and sellers, in return for a commission. But the big investment institutions – pension funds, insurance companies and the like – found the service too expensive.

 

pages: 440 words: 108,137

The Meritocracy Myth by Stephen J. McNamee

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affirmative action, Affordable Care Act / Obamacare, Bernie Madoff, British Empire, collective bargaining, computer age, conceptual framework, corporate governance, deindustrialization, delayed gratification, demographic transition, desegregation, deskilling, equal pay for equal work, estate planning, failed state, fixed income, gender pay gap, Gini coefficient, glass ceiling, helicopter parent, income inequality, informal economy, invisible hand, job automation, joint-stock company, labor-force participation, low-wage service sector, marginal employment, Mark Zuckerberg, mortgage debt, mortgage tax deduction, new economy, New Urbanism, obamacare, occupational segregation, pink-collar, Plutocrats, plutocrats, Ponzi scheme, post-industrial society, prediction markets, profit motive, race to the bottom, random walk, school choice, Scientific racism, Steve Jobs, The Bell Curve by Richard Herrnstein and Charles Murray, The Spirit Level, The Wealth of Nations by Adam Smith, too big to fail, trickle-down economics, upwardly mobile, We are the 99%, white flight, young professional

Until the mid-1970s, poverty rates for those over sixty-five were substantially higher than for other age groups. Many retirees were faced with small and fixed incomes and the erosion of purchasing power as prices increased. The longer they lived, the poorer they became. In 1965, however, Congress passed Medicare, which provided guaranteed access to health care for Americans over sixty-five. This greatly reduced the individual costs of health care for this population. In addition, in the mid-1970s, Social Security payments were automatically adjusted to the Consumer Price Index, eliminating a major source of “fixed incomes” for the elderly. These benefits, combined with post–World War II economic prosperity, greatly improved the economic condition of elderly Americans, who now have a rate of poverty significantly below the national average.

 

The End of Accounting and the Path Forward for Investors and Managers (Wiley Finance) by Feng Gu

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Affordable Care Act / Obamacare, barriers to entry, business process, Claude Shannon: information theory, Clayton Christensen, conceptual framework, corporate governance, Daniel Kahneman / Amos Tversky, discounted cash flows, diversified portfolio, double entry bookkeeping, Exxon Valdez, financial innovation, fixed income, hydraulic fracturing, index fund, inventory management, Joseph Schumpeter, knowledge economy, moral hazard, new economy, obamacare, quantitative easing, quantitative trading / quantitative finance, QWERTY keyboard, race to the bottom, risk/return, Robert Shiller, Robert Shiller, shareholder value, Steve Jobs, The Great Moderation, value at risk

These entities profit from underwriting (selling) insurance to customers, and given the generally long time between receipt of premium from customers and payment of claims, they also gain from investing the substantial funds they accumulate (about 65 percent of insurers’ total assets, mostly invested in fixed income securities). These investments provide a major source of income for insurance companies, often surpassing the insurance income. The PC business risk is high relative to other insurance segments, particularly due to catastrophic risks (earthquakes, terrorism, floods, asbestos claims). That’s where reinsurance comes handy.

Reinsurance, however, is the major means of risk management, where part or all of the risk of an insurance portfolio is transferred to a reinsurance company for a portion of the premium received from customers.16 Some reinsurance contracts involve an “excess-of-loss” clause, where the reinsurance kicks in when the company’s loss exceeds a predetermined limit. Traditional tools of investment risk diversification come into play when managing the risk of the investment portfolio: avoiding high-risk investments (junk bonds), using financial derivatives (hedging), and investing in insured bonds (most of insurance companies’ investments are in fixed-income securities). Finally, regulatory risk is largely managed through lobbying the regulators and legislators. Strategic Resources & Consequences Report: Case No. 2 159 The Resource Preservation part of the Resources & Consequences Report (mid-column) should accordingly provide sufficient information enabling investors to evaluate the effectiveness of the company’s risk management, and the extent of risk exposure.

 

pages: 134 words: 39,353

The Bridge: The Building of the Verrazano-Narrows Bridge by Gay Talese, Bruce Davidson

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delayed gratification, fixed income, New Journalism, Tacoma Narrows Bridge, transcontinental railway

One woman pointed out that her husband, never ill before, suddenly had a heart attack and died after a "Save Bay Ridge"rally, and another woman blamed the bridge for her faltering eyesight, saying she never had to wear glasses until the announcement that her home would be destroyed by "that bridge/ Most of the older people who had owned their homes, particularly those on pensions or small fixed incomes, said that the relocation caused them financial hardships because they could not match the price of a new home of comparable size in a comparable neighborhood. There were, to be sure, a minority who said they were happy that the bridge had forced them to move, or who felt that they had been unjustifiably pessimistic about the changes the Verrazano-Narrows Bridge would bring.

 

pages: 840 words: 202,245

Age of Greed: The Triumph of Finance and the Decline of America, 1970 to the Present by Jeff Madrick

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accounting loophole / creative accounting, Asian financial crisis, bank run, Bretton Woods, capital controls, collapse of Lehman Brothers, collateralized debt obligation, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, desegregation, disintermediation, diversified portfolio, Donald Trump, financial deregulation, fixed income, floating exchange rates, Frederick Winslow Taylor, full employment, George Akerlof, Hyman Minsky, income inequality, index fund, inflation targeting, inventory management, invisible hand, laissez-faire capitalism, locking in a profit, Long Term Capital Management, market bubble, minimum wage unemployment, Mont Pelerin Society, moral hazard, mortgage debt, new economy, North Sea oil, Northern Rock, oil shock, price stability, quantitative easing, Ralph Nader, rent control, road to serfdom, Robert Shiller, Robert Shiller, Ronald Coase, Ronald Reagan, Ronald Reagan: Tear down this wall, shareholder value, short selling, Silicon Valley, Simon Kuznets, technology bubble, Telecommunications Act of 1996, The Chicago School, The Great Moderation, too big to fail, union organizing, V2 rocket, value at risk, Vanguard fund, War on Poverty, Washington Consensus, Y2K, Yom Kippur War

It also requested that its banks honor contracts in rubles, making LTCM’s hedges almost worthless; they would not be paid off. But the Russian investments themselves did not bring LTCM down. It was the domino effect they precipitated in an investment community that was now tightly coupled. Almost all fixed income assets fell sharply in value; diversification, it turned out, did not matter. The finely calculated relationships on which LTCM was built and which the firm always believed would hold started to come apart. VAR could not account for such an unlikely but sweeping event—an event in which everyone wanted out at the same time and almost all investments fell significantly in price.

But Shearson Smith Barney had only a minor investment banking operation. It also had little international business, even though capital flowed in ever greater volumes across borders. Since investment and corporate clients were now located all over the globe, securities firms like Salomon and Goldman were earning enormous profits trading global fixed income and equity securities and currencies. They also had aggressive trading departments that specialized in derivatives, turning themselves into virtual hedge funds. The stock market delivered the message. Travelers was missing out on major sources of growth; its price-earnings multiple was low compared to other major financial services operations.

Fuld’s dream had come true, to run his own independent firm. Fuld’s ambition could now be fully unleashed. He wanted to invest aggressively in mortgage underwriting and securities trading to catch up to Goldman or Morgan in size and influence. His inattention to risk drew internal criticism. As early as 2005, Mike Gelband, the respected head of fixed income securities at the firm, warned him to reverse exposure in mortgages. Fuld thought Gelband was a naysayer, ignored him, and Gelband eventually left the firm. At a management meeting, Madelyn Antonic, the firm’s risk manager, criticized the aggressive risk being taken by the mortgage department and Fuld told her outright to shut up.

 

pages: 695 words: 194,693

Money Changes Everything: How Finance Made Civilization Possible by William N. Goetzmann

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Albert Einstein, Andrei Shleifer, asset allocation, asset-backed security, banking crisis, Benoit Mandelbrot, Black Swan, Black-Scholes formula, Bretton Woods, Brownian motion, capital asset pricing model, Cass Sunstein, collective bargaining, colonial exploitation, compound rate of return, conceptual framework, corporate governance, Credit Default Swap, David Ricardo: comparative advantage, debt deflation, delayed gratification, Detroit bankruptcy, disintermediation, diversified portfolio, double entry bookkeeping, Edmond Halley, en.wikipedia.org, equity premium, financial independence, financial innovation, financial intermediation, fixed income, frictionless, frictionless market, full employment, high net worth, income inequality, index fund, invention of the steam engine, invention of writing, invisible hand, James Watt: steam engine, joint-stock company, joint-stock limited liability company, laissez-faire capitalism, Louis Bachelier, mandelbrot fractal, market bubble, means of production, money: store of value / unit of account / medium of exchange, moral hazard, new economy, passive investing, Paul Lévy, Ponzi scheme, price stability, principal–agent problem, profit maximization, profit motive, quantitative trading / quantitative finance, random walk, Richard Thaler, Robert Shiller, Robert Shiller, shareholder value, short selling, South Sea Bubble, sovereign wealth fund, spice trade, stochastic process, the scientific method, The Wealth of Nations by Adam Smith, Thomas Malthus, time value of money, too big to fail, trade liberalization, trade route, transatlantic slave trade, transatlantic slave trade, tulip mania, wage slave

The Fosses a Charbon de Monsieur Le Marquise de Traisnel was a closed company, and equity investing in the wake of the bubble of 1720 went back to being an insider’s game. 22 SECURITIZATION AND DEBT Wheat Row, the first brick houses built in Washington, DC. They date to 1794, when James Greenleaf and his partners financed the purchase of lots in Washington by issuing bonds in the Netherlands backed by title to property. Their enterprise failed. If the equity markets took a step back after the bubble of 1720, the fixed income markets took a step forward. The eighteenth century in Europe and America was a period of extraordinary financial innovation that took a turn away from equities—at least until nearly the end of the century—and instead focused on a financial architecture built on credit. By the end of the eighteenth century, paper money had made a comeback in many different forms, and financiers had developed ways of collateralizing paper money and complicated bonds of all sorts.

The financial historian Ben Chabot, who has collected and analyzed an extraordinary amount of data about the British market in the nineteenth century, took a close look at the performance of the first British investment funds and concluded that, while they generally lagged the market as a whole, they provided stability, and better still, broad diversification for ordinary investors.9 Stable indeed. The F&C is still around today, managing billions of pounds of investor assets—a survivor of two world wars, the Great Depression, and of course the financial crisis of 2008. The firm’s portfolio is a living thing—long since changed to focus on equities rather than fixed income. However, the essential feature that made it work from the start is that it held people’s money in trust, spread it across securities, passed through dividends, and allowed investors to cash out by selling shares. Formed a year after the first volume of Das Kapital appeared in print, F&C removed as much as possible the element of speculative risk from investing.

Together with Elroy Dimson of London Business School, a long-time friend and mentor, David dove into the King’s College archives to reconstruct the history of Keynes’s investments. What they found was that, as with everything else in his life, Keynes was an iconoclast in his investment behavior. He deviated immediately from a centuries’ old tradition of Cambridge college endowment management by turning away from real estate and fixed income toward stocks. Even in his stock portfolio he took chances—focusing on a few stocks rather than diversifying broadly. The strategy paid off. Over the whole period, Keynes’s portfolio handily beat an equal-weighted portfolio of UK stocks. He was a true pioneer in what became a rush to switch from bond investing to stock investing.