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Albert Einstein, Asian financial crisis, Augustin-Louis Cauchy, Black-Scholes formula, British Empire, Brownian motion, capital asset pricing model, Cepheid variable, creative destruction, crony capitalism, diversified portfolio, Douglas Hofstadter, Emanuel Derman, Eugene Fama: efficient market hypothesis, fixed income, Henri Poincaré, I will remember that I didn’t make the world, and it doesn’t satisfy my equations, Isaac Newton, law of one price, Mikhail Gorbachev, Myron Scholes, quantitative trading / quantitative ﬁnance, random walk, Richard Feynman, Richard Feynman, riskless arbitrage, savings glut, Schrödinger's Cat, Sharpe ratio, stochastic volatility, the scientific method, washing machines reduced drudgery, yield curve
One of the lessons of the credit crisis that began in 2007 is that the models used to determine the value of mortgage securities did not include in their expectations the possibility of the catastrophic future scenarios that actually occurred. The Law of One Price: Similar Securities Have Similar Prices To answer a general question requires having a principle. The only principle you can rely on in finance (and it’s not always reliable) is the Law of One Price: If you want to know the value of one financial security, your best bet is to use the known price of another security that’s as similar to it as possible. When we compare it with almost everything else in economics, the wonderful thing about this law of valuation by analogy is that it dispenses with utility functions, the undiscoverable hidden variables whose ghostly presence permeates economic theory. Financial economists like to recast the Law of One Price as the more pedantically named Principle of No Riskless Arbitrage: Any two securities with identical future payoffs, no matter how the future turns out, should have identical current prices.
Financial economists like to recast the Law of One Price as the more pedantically named Principle of No Riskless Arbitrage: Any two securities with identical future payoffs, no matter how the future turns out, should have identical current prices. This Law of One Price embodies the common sense that the author of “the fundamental theorem of finance” was trying so hard to convey but expressed so unclearly. In the imaginary world of the Efficient Market Model, a stock’s price movements are completely characterized by its expected return μ and its volatility a. All that differentiates one stock from another is their respective values of μ and σ—nothing else. Two securities with the same μ and σ are therefore similar. The Law of One Price combined with the EMM then leads to the following conclusion: Any two securities with the same foreseeable volatility should have the same expected return.9 There is a shallow resemblance between the Law of One Price in finance and Einstein’s principle of relativity in physics, presented in the table below.
The Law of One Price combined with the EMM then leads to the following conclusion: Any two securities with the same foreseeable volatility should have the same expected return.9 There is a shallow resemblance between the Law of One Price in finance and Einstein’s principle of relativity in physics, presented in the table below. Principle of Relativity Law of One Price All observers, irrespective of their speeds, should, from their observations, deduce the same equations for the laws of nature. All securities with identical risk, irrespective of their nature, should provide the same expected return. Light is special; nothing can move faster than light. Riskless bonds are special; nothing can have less risk than a riskless bond. The Law of One Price is not, however, like the principle of relativity. It is not a consistent law of nature. It is a general reflection on the practices of fickle human beings, who, when they have enough time, resources, and information, would rather buy the cheaper of two similar securities and sell the richer, thereby bringing their prices into equilibrium.
Misbehaving: The Making of Behavioral Economics by Richard H. Thaler
3Com Palm IPO, Albert Einstein, Alvin Roth, Amazon Mechanical Turk, Andrei Shleifer, Apple's 1984 Super Bowl advert, Atul Gawande, Berlin Wall, Bernie Madoff, Black-Scholes formula, capital asset pricing model, Cass Sunstein, Checklist Manifesto, choice architecture, clean water, cognitive dissonance, conceptual framework, constrained optimization, Daniel Kahneman / Amos Tversky, delayed gratification, diversification, diversified portfolio, Edward Glaeser, endowment effect, equity premium, Eugene Fama: efficient market hypothesis, experimental economics, Fall of the Berlin Wall, George Akerlof, hindsight bias, Home mortgage interest deduction, impulse control, index fund, information asymmetry, invisible hand, Jean Tirole, John Nash: game theory, John von Neumann, Kenneth Arrow, late fees, law of one price, libertarian paternalism, Long Term Capital Management, loss aversion, market clearing, Mason jar, mental accounting, meta analysis, meta-analysis, money market fund, More Guns, Less Crime, mortgage debt, Myron Scholes, Nash equilibrium, Nate Silver, New Journalism, nudge unit, Paul Samuelson, payday loans, Ponzi scheme, presumed consent, pre–internet, principal–agent problem, prisoner's dilemma, profit maximization, random walk, randomized controlled trial, Richard Thaler, Robert Shiller, Robert Shiller, Ronald Coase, Silicon Valley, South Sea Bubble, statistical model, Steve Jobs, technology bubble, The Chicago School, The Myth of the Rational Market, The Signal and the Noise by Nate Silver, The Wealth of Nations by Adam Smith, Thomas Kuhn: the structure of scientific revolutions, transaction costs, ultimatum game, Vilfredo Pareto, Walter Mischel, zero-sum game
One possible approach to testing whether prices are “right” is to employ an important principle at the very heart of the EMH: the law of one price. The law asserts that in an efficient market, the same asset cannot simultaneously sell for two different prices. If that happened, there would be an immediate arbitrage opportunity, meaning a way to make a series of trades that are guaranteed to generate a profit at no risk. Imagine that gold sells for $1,000 an ounce in New York and $1,010 an ounce in London. Someone could buy gold contracts in New York and sell them in London, and if the transaction costs of making that trade are small, money can be made until the two prices converge. The existence of a multitude of smart traders who are constantly on the lookout for violations of the law of one price guarantees that it should hold, almost precisely and instantaneously.
” † To be clear, it can be quite smart to invest in closed-end funds when they sell at a discount, but it is foolish to buy one when it is first issued and a commission is being charged. 26 Fruit Flies, Icebergs, and Negative Stock Prices The debate with Merton Miller obscured the most important point about closed-end funds: the blatant violation of the law of one price. It was as if we had discovered a unicorn and then had a long fight about what to call the color of the beast’s coat. Years later, after I had joined the University of Chicago, I revisited the law of one price with a Chicago colleague, Owen Lamont. At that time Owen was not really a behavioral economist. He was just an open-minded researcher who enjoyed stirring the pot and had a good eye for interesting problems. Owen is always a favored choice for the role of discussant at the behavioral finance seminars that Shiller and I organize at NBER.
FIGURE 16 There is a first principle of finance even more fundamental than the law of one price, which is that a stock price can never be negative. You can throw your shares away if you want to, and shareholders have limited liability, so the absolute lowest a stock price can fall to is zero. No company can be worth minus $100, much less minus $23 billion. But that is what the market was saying. Think of it another way. Suppose an Econ is interested in investing in Palm. He could pay $95 and get one share of Palm, or he could pay $82 and get one share of 3Com that includes 1.5 shares of Palm plus an interest in 3Com. That does not seem to be a tough decision! Why buy Palm directly when you can get more shares for less money by buying 3Com, plus get a stake in another company thrown in for free? This was a colossal violation of the law of one price. In fact it was so colossal that it was widely publicized in the popular press.
A Primer for the Mathematics of Financial Engineering by Dan Stefanica
asset allocation, Black-Scholes formula, capital asset pricing model, constrained optimization, delta neutral, discrete time, Emanuel Derman, implied volatility, law of one price, margin call, quantitative trading / quantitative ﬁnance, Sharpe ratio, short selling, time value of money, transaction costs, volatility smile, yield curve, zero-coupon bond
Trading costs, lack of liquidity, the bid-ask spread, constant moves of the market that tend to quickly eliminate any arbitrage opportunity, and the impossibility of executing large enough trades without moving the markets make it very difficult to capitalize on arbitrage opportunities. In an arbitrage-free market, we can infer relationships between the prices of various securities, based on the following principle: Theorem 1.10. (The (Generalized) Law of One Price.) If two portfolios are guaranteed to have the same value at a future time T > t regardless of the state of the market at time T, then they must have the same value at time t. If one portfolio is guaranteed to be more valuable (or less valuable) than another portfolio at a future time T > t regardless of the state of the market at time T, then that portfolio is more valuable (or less valuable, respectively) than the other one at time t < T as well: If there exists T > t such that Vi(T) = V2(T) (or Vi(T) > V2(T), or Vi(T) < ~(T), respectively) for any state of the market at time T, then Vi(t) = ~(t) (or Vi(t) > V2(t), or Vi(t) < ~(t), respectively).
If one portfolio is guaranteed to be more valuable (or less valuable) than another portfolio at a future time T > t regardless of the state of the market at time T, then that portfolio is more valuable (or less valuable, respectively) than the other one at time t < T as well: If there exists T > t such that Vi(T) = V2(T) (or Vi(T) > V2(T), or Vi(T) < ~(T), respectively) for any state of the market at time T, then Vi(t) = ~(t) (or Vi(t) > V2(t), or Vi(t) < ~(t), respectively). Corollary 1.1. If the value of a portfolio of securities is guaranteed to be equal to 0 at a future time T > t regardless of the state of the market at time T, then the value of the portfolio at time t must have been 0 as well: If there exists T > t such that V(T) = 0 for any state of the market at time T, then V(t) = o. An important consequence of the law of one price is the fact that, if the value of a portfolio at time T in the future is independent of the state of the market at that time, then the value of the portfolio in the present is the risk-neutral discounted present value of the portfolio at time T. Before we state this result formally, we must clarify the meaning of "riskneutral discounted present value". This refers to the time value of money: cash can be deposited at time tl to be returned at time t2 (t2 > tl), with interest.
The value l;2(T) of this portfolio at time T is l;2(T) = er(T-t) l;2(t) = er(T-t) (ze-r(T-t)) z', cf. (1.42) for tl = t, t2 = T, and B(t) = l;2(t). Thus, l;2(T) = V(T) = z, and, from Theorem 1.10, we conclude that l;2(t) = V(t). Therefore, V(t) = l;2(t) = ze-r(T-t) = V(T) e-r(T-t) , which is what we wanted to prove. D P(t) + S(t)e-q(T-t) - C(t) = Ke-r(T-t). (1.47) We prove (1.46) here using the law of one price. Consider a portfolio made of the following assets: • long 1 put option; • long 1 share; • short 1 call option. The value5 of the portfolio at time t is VportJolio(t) = P(t) + S(t) - C(t). (1.48) - C(T) = K, (1.49) It is easy to see that Example: How much are plain vanilla European options worth if the value of the underlying asset is 07 Answer: If, at time t, the underlying asset becomes worthless, i.e., if S(t) = 0, then the price of the asset will never be above 0 again.
Derivatives Markets by David Goldenberg
Black-Scholes formula, Brownian motion, capital asset pricing model, commodity trading advisor, compound rate of return, conceptual framework, Credit Default Swap, discounted cash flows, discrete time, diversification, diversified portfolio, en.wikipedia.org, financial innovation, fudge factor, implied volatility, incomplete markets, interest rate derivative, interest rate swap, law of one price, locking in a profit, London Interbank Offered Rate, Louis Bachelier, margin call, market microstructure, martingale, Myron Scholes, Norbert Wiener, Paul Samuelson, price mechanism, random walk, reserve currency, risk/return, riskless arbitrage, Sharpe ratio, short selling, stochastic process, stochastic volatility, time value of money, transaction costs, volatility smile, Wiener process, Y2K, yield curve, zero-coupon bond, zero-sum game
To summarize, the payoff to the difference between a long spot position and a long forward position is exactly the same as the payoff to a long position in a zero-coupon bond with face value equal to the forward price, and maturing at the same time as the forward contract. In the language of ﬁnancial engineering, we have replicated the payoff to the original (natural) difference strategy by a synthetic strategy which is simply to buy the appropriate zero-coupon bond. Buy because we need to generate a positive cash ﬂow equal to +Ft,T at time T. A basic principle of ﬁnance (the no-arbitrage principle, or the law of one price) is that if you can do what we just did, then the current costs of the two strategies must be the same. Otherwise, there would be a quick arbitrage opportunity. We will get into all this soon, but let’s just follow through with what we have derived and see its pricing implications. 78 FORWARD CONTRACTS AND FUTURES CONTRACTS So, consider the current cost(s) of generating these alternative payoffs.
In this case, the current cost to us of doing so is e–(r–)*F′t,T since we are lending, not borrowing. We are implicitly assuming that the borrowing rate is equal to the lending rate. To avoid arbitrage these two strategies, strategy 1.–2., and lending the PV of F′t,T must have the same current cost, St=e–(r–)*F′t,T . To see this, you can construct the arbitrage opportunity directly, or use the law of one price (LOP), which follows from no-arbitrage. It follows that F′t,T =e(r–)*St . The ′ indicates that we are solving for the forward price in the presence of dividends. Note that this is the same pricing by replication argument that we gave in Chapter 3, section 3.5, for the no-dividend case. Also note that replication implies pricing because the replicating portfolio must have the same price as the strategy it replicates.
So, we do not need an independent application of the principle of no-arbitrage to show that the current cost of the replicating portfolio must be equal to the price of the derivative security. Market completeness guarantees that, because it implies no-arbitrage, in our interpretation. The usual argument given for equality between the cost of the replicating portfolio and the derivative it is replicating is that no-arbitrage implies the Law of One Price (LOP), which says that the two economically equivalent ﬁnancial instruments cannot trade for different prices. This is pretty clear. If LOP did not hold, then there would be an arbitrage opportunity. The LOP construct is cute, and weaker than no-arbitrage, but not needed. Furthermore, there is no particular beneﬁt to considering a market in which just the weaker LOP holds. The relevant market is one in which there are linear, positive pricing mechanisms, that is, markets in which there are no arbitrage opportunities.
My Life as a Quant: Reflections on Physics and Finance by Emanuel Derman
Berlin Wall, bioinformatics, Black-Scholes formula, Brownian motion, capital asset pricing model, Claude Shannon: information theory, Donald Knuth, Emanuel Derman, fixed income, Gödel, Escher, Bach, haute couture, hiring and firing, implied volatility, interest rate derivative, Jeff Bezos, John Meriwether, John von Neumann, law of one price, linked data, Long Term Capital Management, moral hazard, Murray Gell-Mann, Myron Scholes, Paul Samuelson, 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, the new new thing, transaction costs, value at risk, volatility smile, Y2K, yield curve, zero-coupon bond, zero-sum game
Similarly, a three-year Treasury bond is a collection of six zero-coupon bonds respectively maturing every successive six months over the next three years. Decomposed in this way, the bonds' ingredients are shared: Both contain the first six zero-coupon bonds. Therefore, in modeling the three-year bond, you are also implicitly modeling parts of the five-year bond. In essence, Ravi's model allowed impermissible violations of the law of one price that lies beneath all rational financial modeling. This law demands that any two securities with the same final payouts must have the same current value. Now, there is a combination of short-term options on long-term bonds that has exactly the same payout as a short-term bond, and therefore, the combination of options should have the same theoretical value as the short-term bond, despite their formally different names.
We had aimed to make our model simple and consistent, and it waswe could match all current bond prices with one tree. We could then use the same calibrated tree to value any security whose payouts in the future had a known dependence on interest rates by averaging those payouts over the distribution. In particular, we could value the payout of an option of any expiration on a bond of any maturity. It was particularly attractive that our new model satisfied the law of one price. Our tree functioned as a computational engine that produced the current value of a security by averaging its future payouts; you put future payouts onto the end of the tree, cranked the handle that averaged and then discounted them over the interest rate distribution, and ended up with the current price. The engine didn't care what name you gave to the security that produced the payout-bond, option, call it what you like.
Our traders' intuition had been honed on the old model, and they were sensibly conservative about switching-it is never wise to start using something new until you understand how well it glues on to what you used before. You need a feel for a model before you can begin to rely on it. Therefore, some of the sales assistants in Financial Strategies began to test it, and slowly convinced themselves that it satisfied the law of one price, something that was theoretically obvious to us but not yet practically clear to them. I was tremendously excited by what we had done. Still at heart a physicist, and still philosophically naive about financial modeling, I halfthought of what we had built as a grand unified theory of interest rates, and imagined we could use it to value every interest rate-sensitive security in the universe.
Efficiently Inefficient: How Smart Money Invests and Market Prices Are Determined by Lasse Heje Pedersen
activist fund / activist shareholder / activist investor, 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, money market fund, mortgage debt, Myron Scholes, 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, selection bias, shareholder value, Sharpe ratio, short selling, sovereign wealth fund, statistical arbitrage, statistical model, survivorship bias, systematic trading, technology bubble, time value of money, total factor productivity, transaction costs, value at risk, Vanguard fund, yield curve, zero-coupon bond
While the Two-Fund Separation Theorem stipulates that all investors should hold the market portfolio in combination with cash or leverage, most real-world investors hold different portfolios, where some avoid leverage and instead concentrate in risky securities, whereas others (such as Warren Buffett) leverage safer securities. Asset returns are not just influenced by their market risk (as in the CAPM); they are also influenced by market and funding liquidity risk since investors want to be compensated for holding securities that are difficult to finance or entail the risk of high transaction costs. The Law of One Price breaks down when arbitrage opportunities arise in currency markets (defying the covered interest rate parity), credit markets (the CDS-bond basis), convertible bond markets, equity markets (Siamese twin stock spreads), and option markets. Investors exercise call options and convert convertible bonds before maturity and dividend payments when they need to free up cash or face large short sale costs (defying Merton’s Rule).
THOSE IN AN EFFICIENTLY INEFFICIENT MARKET Neoclassical Finance and Economics Efficiently Inefficient Markets Modigliani–Miller Irrelevance of capital structure Capital structure matters because of funding frictions Two-Fund Separation Everyone buys portfolios of market and cash Investors choose different portfolios depending on their individual funding constraints Capital Asset Pricing Model Expected return proportional to market risk Liquidity risk and funding constraints influence expected returns Law of One Price and Black–Scholes No arbitrage, implied derivative prices Arbitrage opportunities arise as demand pressure affects derivative prices Merton’s Rule Never exercise a call option and never convert a convertible, except at maturity/dividends Optimal early exercise and conversion free up cash, save on short sale costs, and limit transaction costs Real Business Cycles and Ricardian Equivalence Macroeconomic irrelevance of policy and finance Credit cycles and liquidity spirals driven by the interaction of macro, asset prices, and funding constraints Taylor Rule Monetary focus on interest rate policy Two monetary tools are interest rate (the cost of loans) and collateral policy (the size of loans) II.
Hsieh (2001), “The Risk in Hedge Fund Strategies: Theory and Evidence from Trend Followers,” Review of Financial Studies 14, 313–341. Gabaix, X., A. Krishnamurthy, and O. Vigneron (2007), “Limits of Arbitrage: Theory and Evidence from the Mortgage-Backed Securities Market,” Journal of Finance 62, 557–595. Gârleanu, N., and L. H. Pedersen (2007), “Liquidity and Risk Management,” American Economic Review 97, 193–197. Gârleanu, N., and L. H. Pedersen (2011), “Margin-Based Asset Pricing and Deviations from the Law of One Price,” The Review of Financial Studies 24, 1980–2022. Gârleanu, N., and L. H. Pedersen (2013), “Dynamic Trading with Predictable Returns and Transaction Costs,” Journal of Finance 68, 2309–2340. Gârleanu, N., and L. H. Pedersen (2014), “Dynamic Portfolio Choice with Frictions,” working paper, University of California, Berkeley. Gârleanu, N., L. H. Pedersen, and A. Poteshman (2009), “Demand-Based Option Pricing,” The Review of Financial Studies 22, 4259–4299.
Capital Ideas: The Improbable Origins of Modern Wall Street by Peter L. Bernstein
Albert Einstein, asset allocation, backtesting, Benoit Mandelbrot, Black-Scholes formula, Bonfire of the Vanities, Brownian motion, buy low sell high, capital asset pricing model, corporate raider, 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, Kenneth Arrow, law of one price, linear programming, Louis Bachelier, mandelbrot fractal, martingale, means of production, money market fund, Myron Scholes, new economy, New Journalism, Paul Samuelson, 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, zero-sum game
To prove that the outcome they describe is the only possible outcome, Modigliani and Miller make what is probably their most ingenious contribution to the theory of finance. They seize on a common feature of competitive markets and elevate it to the level of a driving force. In so doing they make a significant advance over both Williams and Durand. That feature is known as arbitrage, or, among economic theorists, as the Law of One Price. Two assets with identical attributes should sell for the same price, and so should an identical asset trading in two different markets. If the prices of such an asset differ, a profitable opportunity will arise to sell the asset where it is overpriced and to buy it back where it is underpriced. The arbitrager will then lock in a sure profit, otherwise known as a free lunch. The familiar aphorism that “There is no such thing as a free lunch” applies only to perfect markets, imperfect markets provide a playground for the “arbs,” as they are known in Wall Street slang.
Recalling their discussions about this line of argument, Miller smiled and said, “Franco has the mind of an arbitrager, an Italian currency speculator. He always thinks in those terms.”11 Modigliani, in an understatement, observed that this approach was what made their 1958 paper “quite novel, even beyond the radical character of the core topic.”12 Even tourists ignorant of the theory of finance can turn into arbitragers. The Law of One Price was violated in the early 1980s when the foreign exchange rate for the dollar was so high that everything abroad seemed extraordinarily cheap to Americans. A Wall Street Journal reporter demonstrated that an American who flew to London, enjoyed fancy meals and hotel accommodations for a few days, and loaded up on items like sweaters, whiskey, and china, could save enough money, compared to the cost of the same items in New York City, to cover the cost of the round-trip airfare.
General Electric took a different path and used what is known as leverage: It issued only $60 million in common stock and borrowed $40 million by issuing bonds paying 5 percent a year interest. With only common stock outstanding, General Motor’s total earnings of $ 10 million accrue to the owners of its shares. General Electric, however, must first pay interest of $2 million on its bonds, leaving $8 million for its stockholders. What happens if the Law of One Price is violated? Suppose General Motors stock is selling for its issue value of $100 million, while General Electric stock is selling for $70 million, or $10 million more than its issue value of $60 million. Together with its $40 million in bonds, General Electric as a totality is valued in the market place at $110 million, more than the market value of General Motors. Despite the different market valuations, the two companies still have identical earning power and riskiness.
activist fund / activist shareholder / activist investor, affirmative action, Albert Einstein, Andrei Shleifer, barriers to entry, Berlin Wall, colonial rule, Daniel Kahneman / Amos Tversky, double entry bookkeeping, Edward Glaeser, en.wikipedia.org, endowment effect, European colonialism, experimental economics, experimental subject, George Akerlof, income per capita, invention of the telephone, Jane Jacobs, John von Neumann, law of one price, Martin Wolf, mutually assured destruction, New Economic Geography, new economy, Plutocrats, plutocrats, Richard Florida, Richard Thaler, Ronald Reagan, Silicon Valley, spinning jenny, Steve Jobs, The Death and Life of Great American Cities, the market place, The Wealth of Nations by Adam Smith, The Wisdom of Crowds, Thomas Malthus, women in the workforce, zero-sum game
The bids will fall until the woman who faces leaving alone is offering to walk through the checkout with some lucky guy and accept just one cent as the price of doing so. He’ll get $99.99; her one-cent profit is better than nothing. The trouble doesn’t end there. Economists talk about “the law of one price,” which says that identical products on offer at the same time, in the same place, with the prices clearly visible will go for the same price. This is the Marriage Supermarket, so that’s exactly the situation the women find themselves in. No matter what deals are agreed, there will always be one girl left over, offering to pair up for just one cent. The law of one price says one cent is what all of them will get: Anyone on the verge of getting a better offer will be undercut. The nineteen men will each get $99.99. Nineteen women will get a cent each, and the last woman will get nothing at all.
That’s remarkable: A shortage of just one man gives all the other men massive scarcity power. The intuition is straightforward, though. Just one “leftover” woman can provide an outside option for every single man and spoil the bargaining position of every other woman. That’s how it would work in the Marriage Supermarket. You may have noticed some minor differences in reality. The conditions for the law of one price are never perfectly met. The bargaining process is not quite as calculating, although it is probably just as brutal. Most important, because the Marriage Supermarket measures the benefits of marriage in dollars, those benefits are easily transferred from one party to another. In reality, it’s not as easy for suitors to bid against one another as marriage prospects (“I’ll match Brian’s guarantee of three orgasms per week, and add in at least one candlelit dinner”)—although the marriage of twenty-six-year-old former Playboy centerfold Anna Nicole Smith to eighty-nine-year-old billionaire J.
Money Mischief: Episodes in Monetary History by Milton Friedman
Bretton Woods, British Empire, currency peg, double entry bookkeeping, fiat currency, financial innovation, fixed income, floating exchange rates, full employment, German hyperinflation, income per capita, law of one price, money market fund, oil shock, price anchoring, price stability, transaction costs
Loren Brandt and Thomas Sargent (1989) regard this additional evidence as suggesting that the episode was one of "free banking" on a specie standard in which the higher real price of silver meant that a smaller physical stock of silver was necessary to support the same total stock of money in nominal units. The price deflation, they suggest, was produced by the "law of one price," that is, arbitrage between international and domestic prices, rather than by monetary contraction. And prices, they conjecture, were sufficiently flexible to insulate the real economy from the price deflation produced by the "law of one price." The higher value of silver was simply a boon to holders of silver, and to benefit from that boon they exported the amount no longer needed to support the money stock. They conclude that "the U.S. silver purchase program did not set off a chain of bad economic events which eventually forced China off silver and onto a fiat standard.
Economists and the Powerful by Norbert Haring, Norbert H. Ring, Niall Douglas
accounting loophole / creative accounting, Affordable Care Act / Obamacare, Albert Einstein, asset allocation, bank run, barriers to entry, Basel III, Bernie Madoff, British Empire, central bank independence, collective bargaining, commodity trading advisor, corporate governance, creative destruction, credit crunch, Credit Default Swap, David Ricardo: comparative advantage, diversified portfolio, financial deregulation, George Akerlof, illegal immigration, income inequality, inflation targeting, information asymmetry, Jean Tirole, job satisfaction, Joseph Schumpeter, Kenneth Arrow, knowledge worker, labour market flexibility, law of one price, light touch regulation, Long Term Capital Management, low skilled workers, mandatory minimum, market bubble, market clearing, market fundamentalism, means of production, minimum wage unemployment, moral hazard, new economy, obamacare, old-boy network, open economy, Pareto efficiency, Paul Samuelson, pension reform, Ponzi scheme, price stability, principal–agent problem, profit maximization, purchasing power parity, Renaissance Technologies, rolodex, Sergey Aleynikov, shareholder value, short selling, Steve Jobs, The Chicago School, the payments system, The Wealth of Nations by Adam Smith, too big to fail, transaction costs, ultimatum game, union organizing, Vilfredo Pareto, working-age population, World Values Survey
It is exactly because much of what goes on in an economy is about distributing economic rents, rather than maximizing allocative efﬁciency, that the European social model has been much more successful than it would have been if perfect competition had any semblance to reality. At the bottom of the power hierarchy are the workers (Chapter 5). Workers do not exist in most neoclassical models of the labor market. There is only labor in those markets – labor that consumers sell if the price is right and do not sell if the price is too low. In reality, the ﬁrm employs workers, not their labor. The presence of market power, established in Chapter 4, implies that the law of one price for labor does not hold. The result is a dichotomy of good jobs and bad jobs for similar workers. Thus luck is very important for earnings and careers, rather than individual merit. Labor market institutions, and legal restrictions on voluntary trade, work very differently on such a real labor market than in the fairy-tale labor market that textbooks like to use. The ﬁnal chapter deals with the thorny question of who can deal with economic power if the spheres of economic power and political power are connected.
Just as workers will demand a higher wage for travelling to an otherwise identical employer who is further away, they will demand more money if they are expected to do work which they do not like as much (Bhaskar, Manning and To 2002). Empirical research has provided ample direct and indirect proof of the importance of market power on the labor market. An indirect proof lies in the fact that the law of one price routinely does not hold. If competition worked as neoclassical theory assumes, there would be one price for labor of a given type and quality. However, there is a large body of literature dating back many decades that shows that wage rates can be very different for a given type of work in a given city. One such study from 2002 cites, as informal but impressive evidence, a survey of six fast food restaurants located within a one mile radius.
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, John Meriwether, law of one price, liquidity trap, London Interbank Offered Rate, Long Term Capital Management, market bubble, merger arbitrage, money market fund, new economy, passive investing, Paul Samuelson, price mechanism, purchasing power parity, risk tolerance, risk-adjusted returns, risk/return, Ronald Reagan, selection bias, shareholder value, Sharpe ratio, short selling, statistical arbitrage, survivorship bias, the market place, transaction costs, Y2K, yield curve, zero-sum game
The correlation’s source, according to the article, is industries seem to be moving in harmony around the world.2 My interpretation of the author’s conclusion is people who aim at diversifying their portfolios must pay as much attention to industry groups as they do to global locations. I have been making this point for the past few years; such a correlation trend is entirely predictable. The high correlation among industry returns across countries is easily explained in terms of the “law of one price,” or purchasing power parity (PPP). Putting these similar concepts together, the high correlation is explainable because identical things’ prices across countries tend to be equal when expressed in the same currency. To the extent the correlation among industries is not perfect, however, one must conclude PPP is not perfect and PPP violations occur. In fact, these violations are what give rise to location effects, which include entire global regions, specific countries, and smaller localities.
This statistical technique is usually used to measure a manager’s performance against a benchmark. interest rate parity Relationship that must hold between the spot rate currencies’ interest rate if there are to be no arbitrage opportunities. interest rate spread The difference in yield between two distinct securities, such as corporate bonds and government securities. investor’s horizon The time length a sum of money is expected to be invested. law of one price The economic rule that states that, in an efficient market and absent transaction or transportation costs, a security and/or a commodity must have a single price, no matter how that security is created. leverage buyouts (LBOs) A transaction used to privatize a public corporation financed through debt, such as bank loans and Treasury bonds (T-bonds). Due to the large amount of debt relative to equity, the bonds are usually rated below investment grade. lifecycle fund A type of a fund structured between stocks and fixed income.
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, computerized trading, diversification, equity premium, fault tolerance, financial intermediation, fixed income, high net worth, implied volatility, index arbitrage, information asymmetry, interest rate swap, inventory management, law of one price, Long Term Capital Management, Louis Bachelier, margin call, market friction, market microstructure, martingale, Myron Scholes, 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, zero-sum game
By the time this book was written, the lead-lag effect between futures and spot markets had decreased from the 5- to 10-minute period documented by Stoll and Whaley (1990) to a 1- to 2-second advantage. However, profit-taking opportunities still exist for powerful high-frequency trading systems with low transaction costs. Indexes and ETFs Index arbitrage is driven by the relative mispricings of indexes and their underlying components. Under the Law of One Price, index price should be equal to the price of a portfolio of individual securities composing the index, weighted according to their weights within the index. Occasionally, relative prices of the index and the underlying securities deviate from the Law of One Price and present the following arbitrage opportunities. If the price of the index-mimicking portfolio net of transaction costs exceeds the price of the index itself, also net of transaction costs, sell the index-mimicking portfolio, buy index, hold until the market corrects its index pricing, then realize gain.
Mathematics for Economics and Finance by Michael Harrison, Patrick Waldron
Brownian motion, buy low sell high, capital asset pricing model, compound rate of return, discrete time, incomplete markets, law of one price, market clearing, Myron Scholes, Pareto efficiency, risk tolerance, riskless arbitrage, short selling, stochastic process
On the other hand, the weak form of the convexity axiom would permit a multi-valued demand correspondence. 4.4.2 The No Arbitrage Principle Definition 4.4.1 An arbitrage opportunity means the opportunity to acquire a consumption vector or its constituents, directly or indirectly, at one price, and to sell the same consumption vector or its constituents, directly or indirectly, at a higher price. Theorem 4.4.1 (The No Arbitrage Principle) Arbitrage opportunities do not exist in equilibrium in an economy in which at least one agent has preferences which exhibit local non-satiation.2 2 The No Arbitrage Principle is also known as the No Free Lunch Principle, or the Law of One Price Revised: December 2, 1998 CHAPTER 4. CHOICE UNDER CERTAINTY 71 Proof If preferences exhibit local non-satiation, then Marshallian demand is not well-defined if the price vector permits arbitrage opportunities. If the no arbitrage principle doesn’t hold, then any individual can increase wealth without bound by exploiting the available arbitrage opportunity on an infinite scale. Thus there is no longer a budget constraint and, since local non-satiation rules out bliss points, utility too can be increased without bound.
A Culture of Growth: The Origins of the Modern Economy by Joel Mokyr
Andrei Shleifer, barriers to entry, Berlin Wall, clockwork universe, cognitive dissonance, Copley Medal, creative destruction, David Ricardo: comparative advantage, delayed gratification, deliberate practice, Deng Xiaoping, Edmond Halley, epigenetics, Fellow of the Royal Society, financial independence, framing effect, germ theory of disease, Haber-Bosch Process, hindsight bias, income inequality, invention of movable type, invention of the printing press, invisible hand, Isaac Newton, Jacquard loom, Jacquard loom, Jacques de Vaucanson, James Watt: steam engine, John Harrison: Longitude, Joseph Schumpeter, knowledge economy, labor-force participation, land tenure, law of one price, Menlo Park, moveable type in China, new economy, phenotype, price stability, principal–agent problem, rent-seeking, Republic of Letters, Ronald Reagan, South Sea Bubble, statistical model, survivorship bias, the market place, The Structural Transformation of the Public Sphere, The Wealth of Nations by Adam Smith, transaction costs, ultimatum game, World Values Survey, Wunderkammern
Recklessness could lead to the sad fate of Giordano Bruno (1548–1600), arrogance to that of Galileo. But overall, the system worked well as a competitive market for ideas. After 1650, the power of conservative forces to hold back new ideas dissolved north of the Alps and the Pyrenees. That said, unlike highly competitive markets for goods or labor, the market for ideas does not invariably converge to an “equilibrium outcome,” comparable to the law of one price in markets for goods. The reason is that even if the market for ideas is highly competitive, it may be difficult for “consumers” to choose on the basis of content alone, because knowledge is insufficiently tight and the evidence or data are inconclusive. In that case the market generates multiple solutions. In some sense multiple equilibria in the market for ideas can be viewed as an inefficiency, since if there are two diametrically inconsistent ideas extant about some natural phenomenon, at least one of them is likely to be in error.
Such was the case in medicine, where best-practice knowledge before 1870 could not produce a tight explanation of infectious disease. But in a well-functioning market for ideas, content bias—the willingness to be persuaded and accept what seems true—should be decisive in matters that can be verified by the best instruments and satisfy the rhetorical conventions of the time.21 In that case something akin to the law of one price should obtain. Hence, when such cultural entrepreneurs as Lavoisier, Darwin, and Pasteur proposed radically new views of natural phenomena, the evidence and logic were judged to be persuasive by the rhetorical standards of their age. Notwithstanding skepticism and resistance, their ideas became eventually accepted and were considered to be sufficiently tight at least among those who mattered for further progress.
., 63, 73, 241 on British science, 242 Kuhnian anomaly, 162 Kumar, Deepal, 215 Kuran, Timur, 53, 54 Kurz, Joachim, 313 La Mettrie, Julien, 171, 178 La Peyrère, Isaac, 207 labor-saving innovations, 289 Labrousse, Elizabeth, 175 Lactantius, Lucius, 153 Lagrange, Joseph Louis, 110, 112 Lalande, Joseph Jerome, 107 Lamb, Marion, 12, 43, 48 Landa, Janet Tai, 122 Landes, David S., 40, 47, 233, 268, 297, 312, 310, 320 Laplace, Pierre Simon, 113, 115, 242 Lapland expedition, 107, 211 Lasch, Christopher, 248 Lates, Jacob Immanuel, 256 Latin, 170, 258 latitudinarianism, 113 Lavoisier, Antoine, 158, 220, 241, 272, 280 law of nature, universal, 318 law of one price, 157 laws of gravitation, Newton’s, 107 Le Roy, Loys (Louis), 73, 248 learned societies, 173 learning, horizontal channels, 35 l’Écluse, Charles de, 206 Lecoq, Anne-Marie, 250 lectures, scientific, 223 Leers, Reiner, 208 legitimacy, 202 and patronage, 205 Leibniz, Gottfried Wilhelm, 68, 100, 104, 106, 112, 114, 193, 199, 202, 208, 214, 227, 245 inventions of, 242 priority dispute with Newton, 108 Leibnizians, 211 Leighton, Wayne A., 10, 59 LeMaistre, Joseph, 79 Lenin, Vladimir, 52 Leopold of Tuscany, Prince, 281 Leslie, Michael, 86 Leuven, 175 Levere, Trevor, 222, 335 Levin, Daniel Z., 191 Levine, Joseph M., 156, 250, 253 Levine, Robert, 40, 140 Leyden, 95, 174, 178 Leyden, University of, 106, 173, 179, 182, 212 l’Hôpital, Marquis, 106 Li, Jin, 295 Li Gong, 303 Li Shizhen, 333 Li Ye, 299, 301 Li Zhi, 323, 327 libertas philosophendi, 197, 260 Lilienthal, Otto, 257 Lillard, Dean R., 35, 38 Lin, Justin, 289, 322 Lindberg, David C., 133 Linnaeus, Carl, 275 Lio Xanting, 333 Lipsius, Justus, 182 Lister, Martin, 87 literacy, 36, 80 124, 126, 127 in China, 292 Liu Bingshong, 301 Liu, James T.C., 292, 308 Livingstone, David N., 136 Lloyd, Geoffrey, 304, 306, 319 Lloyd, William, 94 Locke, John, 68, 69, 78, 111, 116, 176 reputation on the Continent, 243 Lodwick, Francis, 94 London, 72, 74, 97, 174, 222, 281 Long, Pamela, 72, 137, 140 longitude at sea, 271 López, Edward J., 10, 59 Louis LeGrand school, 130 Louis XIV, King, 109, 204, 234 Louvain, 174 Louvain, University of, 261 Louvois, Marquis de, 82 Lower, Richard, 91 loyalty, 121 Lucretius, 317 Luddism, 65 Lully, Jean-Baptist, 204 Lunar Society, 222 Luther, Martin, 60, 63, 65, 68, 159, 170, 214, 323 Lutheranism, 244 Lux, David S., 241 Lynch, William T., 88 Lyons, Anthony, 51 Ma, Debin, 287, 291, 304, 315 Macartney, Lord George, 313, 334, 335 Macaulay, Thomas Babington, 97 MacFarlane, Alan, 18 Machiavelli, Niccolo, 205 MacLaurin, Colin, 78, 83 MacLean, Ian, 187, 197, 212, 214 MacLeod, Christine, 109 magic, 211 in Bacon’s thought, 75 magical doctrines, disappearance of, 220 magicians, 75 magnetism, 336 Magnol, Pierre, 234 Maharal of Prague, 257 mail services, improvements in, 195 Mairan, Jean Jacques d’Ortous de, 275 maize, 163 Malcolm, Noel, 183 Malebranche, Nicolas de, 106 Malesherbes, Guillaume-Chrétien de, 178 Malherbe, Michel, 96 Malpighi, Marcello, 156 Malthus, Thomas Robert, 311 Malthusian forces, 315 Manardi, Giovanni, 147 Manchu suppression, 327 Mandarinate, and the kaozheng school, 323 Mandeville, Bernard de, 84 Mantua, 205 Manuel, Frank, 100 Mao Zedong, 52, 337 map makers, 204 Marburg, 245 Marcuse, Herbert, 60 Margóczy, Daniel, 145, 153, 195, 204, 217 marine chronometer, 26, 83, 271 Mariotte, Edme, 73 market for ideas, 62, 64, 67, 97, 99, 101, 154-160, 172, 175, 182, 187, 188, 192, 200-202, 210, 212–216, 218-220, 234, 261, 265, 267, 268, 305 and Industrial Enlightenment, 244 and Republic of Letters, 208 Bacon’s legacy in, 272 barriers to entry to 165, 178 formal institutions in, 280 fragmentation and 172 idea of progress in, 247 in China, 209, 294, 296, 298-311, 317, 319, 324, 339, 341 in Europe, 314 institutional underpinning of, 198, 214 mathematics in, 213 persuasion in, 190, 209 transnationality of, 107 market integration, in China and Europe, 291 marketplace for ideas, 200 in China, 319 see also market for ideas marriage market, 62 Marx, Karl, 52, 60, 63, 65, 79, 266 Marxism-Leninism, 64 Mary Tudor, Queen, 171 Masonic lodges, 222 mathematical methods, in science, 279 mathematicians, 204 mathematics, 147, 190 in China, 328 in experimental science, 105 in Newton’s work, 103 in scientific method, 74, 104 Newton’s effect on, 106 role of, 213 mathematization, 55, 217 of nature, 82 Mathias, Peter, 268 Maupertuis, Pierre Louis de, 107, 110, 211, 282 Maurice of Nassau, Prince, 204 Maximilian II, Emperor, 206 Maximilian of Bavaria, Duke, 207 Mayr, Ernst, 30, 31 Mayr, Otto, 104 Mazzotti, Massimo, 110 McClellan, James E., 195, 196 McCloskey, Deirdre, 5, 7, 17, 20, 23, 45, 65, 97, 119, 121, 122, 136, 155, 197, 246, 269, 289 on education, 295 McDermott, Joseph P., 294, 310, 333, 334 McGuire, J.E., 252 McMains, H.F., 145 measure of force, Newton’s, 112 mechanical arts, dignity of, 137 mechanical science, 112 mechanistic universe, 221 medicine, 157, 278, 336 Baconian influence on, 90 in China, 328 Mei Wending, 325, 327 Meisenzahl, Ralf, 119, 283 Meissen, 145 Melanchthon, Philipp, 170 Melton, James Van Horn, 199 memes, 46 Mengzhi (Mencius), 298, 302, 319, 330 mercantilism, age of, 193, 204 Merchant, Carolyn, 78 Merchants, demand for information of, 161 Mercury, or, The Secret and Swift Messenger, 94 meritocracy, in China, 303 Mersenne, Marin, 86, 95, 104, 130, 160, 194, 208, 239, 240, 243, 280, 281 Merton, Robert K., 91, 170, 201, 202, 227-231, 234, 245, 276, 277 Merton thesis, 236, 237 Meskill, John, 292 Mesoudi, Alex, 22, 24-26, 28 Métailié, Georges, 326, 328, 333 metallurgy, 91 microscopes, 83, 162 Middle East, 274 Milan, 205 Mill, John Stuart, 13, 47 Millar, John, 68 millenarianism, 266 Miller, Patrick, 239 Miller, Peter N., 95, 137, 162, 194, 198, 200 Milton, John, 156 mindful hand, 139 Ming dynasty, 294, 300-302, 305, 309, 311, 324, 327, 335, 336 Minim order, 239 mining, 91 Mishna, 128 Mitch, David, 125 Mitchell, Wesley Claire, 68 Mitsukuni, daimyo, 311 mixed mathematics, 130 Moav, Omer, 22, 121 model-based bias, 109, 214 moderns, 101 triumph of, 254 Mohammed, 60 Mohism, 299 Moivre, Abraham de, 233 Mokyr, Joel, 7, 27, 28, 48,81, 94, 119, 121, 128, 138, 175, 183, 185, 196, 227, 244, 259, 260, 268, 278, 283, 289, 316, 332 Moldova, 126 Molière, 207 monasteries, and technological progress, 136, 142 Mongol invasions, 309 Mongols, 314 Monod, Jacques, 32, 62 Montaigne, Michel de, 96, 157 Montes, Leonidas, 103 Montesquieu, Charles Louis de Secondat, 68, 276 Montpellier, 174 Moore, James R., 85, 230 morality, general vs. limited, 18, 296 Moran, Bruce T., 173, 205, 207 Moravia, 171 Moray, Sir Robert, 89 More, Hannah, 124 Morris, Ian, 47, 288, 307, 309, 314, 328 Mosse, George L., 238 Mote, F.W., 292, 297, 299, 307, 312, 327, 335 Mughal India, 291 Muir, Edward, 130, 174, 281 Mulligan, Lotte, 237 Murphy, Daniel, 235 Muslim traditions, 256 Musschenbroek, Petrus, 106 Musson, A.E., 79, 265, 268 mysticism, 211 Nakayama, Shigeru, 149 Napoleon, 115 natural philosophy, application of, 223 Naudé, Gabriel, 207 Nedham, Marchamont, 91, 249, 252 Needham, Joseph, 148, 233, 287, 297,299, 300, 302, 308, 310, 314, 316, 318, 322, 324, 329, 336 on scientific laws, 337 Needham puzzle, 289, 318 Needham question, 287-289 Neher, André, 257 Nelson, Richard R., 22, 123 neo-Confucianism, 299, 303, 324 triumph of, 308 Netherlands, 17, 53, 95, 122, 167, 172, 174, 176 networks, 86. 87, 92, 120, 122, 122, 128, 129, 180, 181, 183, 186, 187, 191-196, 200, 201, 215, 216, 219, 281, 282, 296, 310, 328 epistolary, 194, 196 in the Republic of Letters, 219 of weak ties, 191 tightness of, 186 Neusner, Jacob, 128 New Atlantis, 74, 84, 88, 89, 92, 115, 150, 281 New Organon, 76, 77, 146, 152 Newcomen, Thomas, 26, 270 Newcomen engines, 83 Newton, Isaac, 15, 67-69, 73, 78, 86, 99-116, 155, 162, 164, 172, 176, 177, 193, 199, 201, 202, 206, 210, 211, 214, 218, 227, 232, 237, 238, 252, 263, 268, 319, 341 as master of the mint, 205 cosmology of, 220 highbrow science of, 223 influence in France, 243 religious views, 115 reputation on the Continent, 243 Newtonian physics, 173 Newtonian science, 99, 274 Newtonian theory, and the shape of the earth, 211 Newtonianism, 99, 110, 116 on the Continent, 106 triumph over Cartesianism, 107 Newtonians, 113, 211, 275 Ng, William Yau-Nang, 336 Nickerson, Raymond F., 51 Nielsen, Rasmus, 44 Nightingale, Florence, 52 Nisbet, Robert, 248, 250, 255, 266 Nongzheng quanshu, 326, 333 Norenzayan, Ara, 128 North, Douglass, 5, 10, 59, 121, 166 North Korea, 144 Norwich, 93 nosology, 91 Novum Organum, 96 Nowacki, Horst, 108 Numbers, Ronald L., 133 numeracy, 127 numerology, 256 Newton’s work on, 100 numismatics, 154 Ó Gráda, Cormac, 7, 244, 289 O’Brien, Patrick, 287, 297 occult and occultism, 213, 220 occult powers, 210 Ochino, Bernardino, 171 Ochs, Kathleen, 88, 89 Ogilvie, Sheilagh, 173 Oldenburg, Henry, 87, 203, 282 O’Malley, C.D., 134 O’Malley, M., 40 open science, 183-185, 189, 202, 319 and cumulativeness of knowledge, 320 open-source ethics, in the Republic of Letters, 184 open-source system, 183 openness, 25, 144, 197, 298 in the Republic of Letters, 202, 203 to new ideas, 144 Opium Wars, 335 Opticks, 108 Optics, 101 Orta, Garcia de, 145 Ostrom, Elinor, 122, 185, 187 Ottoman Empire, 188, 291 Oughtred, William, 207 Oxford University, 151 Padua, 110, 174, 204 Padua, University of, 173, 188, 256, 281 Pagel, Walter, 261 Palissy, Bernard, 138 Pallavicino, Ferrente, 260 Pancaldi, Giuliano, 201 Panciroli, Guido, 259 Panipat, battle of, 291 Papin, Denis, 203, 233, 270 Paracelsus, 73, 105, 151, 156, 157, 162, 213, 214, 251, 261, 310, 331 Parent, Antoine, 272 Paris, 151, 175, 176, 188, 212, 281 salons in, 200 Parker, Samuel, 80 Parthasarati, Prasannan, 164 Pascal, Blaise, 162, 241, 248, 261, 262, 264, 201, 217, 281 Pasteur, Louis, 158 patent offices, 320 patent system, 202 patents, 16 patience capital, 140 patronage, 16, 87, 106, 109, 111, 172, 176, 177, 179, 181-183, 188, 203-208 and scientific prestige, 219 Paul IV, Pope, 170, 171 Paul V, Pope, 176 peanuts, 317 peer review, 217 Peiresc, Nicolas C.F. de, 95, 130, 137, 161, 162, 194, 198, 200, 201, 207, 280 Pemberton, Henry, 110 pendulum clocks, 83, 162 penny post, 195 Perdue, Peter, 297 Pérez-Ramos, Antonio, 70, 77, 79, 95, 98 Perkins, Merle L., 263 Perkinson, Henry J., 159, 161, 179 perpetual peace, ideal of, 263 Perrault, Charles, 250, 262 Persia, 291 persuasion, 20, 23, 33, 35, 44, 45, 190, 211 and biases in cultural evolution, 209 and the market for ideas, 190 in the Industrial Enlightenment, 279 Perugia, 204 Pestré, Abbé Jean, 79, 96 Peter the Great, Czar, 199 Peterson, Willard, 325, 329 Petty, William, 86, 87, 88, 229, 243, 263 phase transition, in European innovation, 288 Phelps, Edwin, 123 phenotype, 28 Philosophical Transactions, 87, 282 phlogiston theory, 177, 208, 220 Phoenicia, 132 physical sciences, Newton’s impact on, 103 physicians, 125, 158, 162, 251, 252 and patronage, 204 Jewish, 257 physiocrats, 330 Pietism, 244, 245 Pinker, Steven, 316 Pitcairne, Archibald, 102 plague, 309 Planck, Max, 65 plasmids, 144 Plat, Sir Hugh, 74, 97, 185 Pleijt, Alexandra M. de, 124 Pleiotropy, 28 Pliny, 151, 152 pluralism, 13, 53, 80, 129, 131, 156, 166, 170, 174, 219, 233 European, 290 pneumatic chemistry, 271 Po river, 204 Poland, 95, 126, 171, 175, 188 Polanyi, Michael, 62 Pole, Reginald, 170 polite society, 155 Pollard, Sidney, 263 Pomeranz, Kenneth, 287, 288, 292 Poovey, Mary, 84, 216 Pope, Alexander, 111 Popper, Karl, 75 population thinking, 31 porcelain, in China, 148 Porter, Michael, 14 Porter, Roy, 242, 268 positive checks, 315 positive-sum game, 267 postal networks and services, 36, 195, 196 Postel, Guillaume, 258 potatoes, 145 Potsdam, 178 Poynter, F.N., 91 practical intelligence, and innovation, 269 Prague, 212 Prak, Maarten, 148, 173 precision, rhetoric of, 279 preferences, 8, 14, 44 part of culture, 8 regarding time, 141 prescriptive knowledge, 48, 184, 185, 321 Preußische Akademie der Wissenschaften, 282 Priestley, Joseph, 82, 241, 245, 248, 266, 277, 278 primitivism, 265 Principia Mathematica, 15, 99, 103, 106, 108, 112, 243 printing, in China and the Islamic world, 293 printing houses, and the Republic of Letters, 189 printing press, 36, 42,144, 159, 160, 177 priority disputes, 202 priority rights, 201 prisca theologia, 210 Pritchett, Lant, 126 prizes, 16 progress, 159, 247-266, 268 belief in, 254, 19 idea of, 223, 253 in Britain, 264 in China, 310 in evolutionary systems, 33 material, 259 prohibitions, of books, 156 property rights, 122 in knowledge, 184, 201 propositional knowledge, 48, 143, 184, 202, 289 bridges to practical needs, 241 Chinese, 338 in Europe and China, 316 Prussia, 126 Prussia, Queen of, 106 Ptolemaic-Aristotelian dogma, 150 Ptolemy, 32, 151, 152, 258, 319 public science, 155, 196, 222, 282 culture of, 223 publishers, 189 punctuality, as a cultural trait, 40 Puritan culture, and economic performance, 234 Puritan ideology, 237 Puritan science, 229, 231, 233 and Anglican science, 238 and religion, 245 Puritan values, 236 in American colonies, 268 Puritanism, 85, 94, 111, 115, 194, 227-229, 236 and Pietism, 244 and science, 229 and the Republic of Letters, 229 attitude to science, 230 internal differences in, 238 success of, 230 Pyrenees, 169 Qi, Han, 326 Qian, Wen-yuan, 301, 304 Qianlong emperor, 327, 334, 335 qianxu, concept of, 295 Qin dynasty, 298 Qing dynasty, 287, 292, 294, 299, 301, 302, 304, 305, 311, 315, 325, 331 Quakers, 128, 231 quantification, 100, 263 in chemistry, 280 in scientific method, 279 Queen Anne’s Law, 202 Racine, Jean, 207 Rainhill competition, 125 Ramus, Petrus, 74, 77, 138, 151, 302 Rand, Ayn, 60 Rattansi, P.M., 252 Rawski, Evelyn, 292 Rawski, Thomas G., 287, 291, 304, 315 Ray, John, 91, 92, 94, 155, 229, 238 Raylor, Leslie, 86 Réaumur, René, 242, 274 rebellions, anti-Qing, 309 recombination, of technological components, 41 Recorde, Robert, 74 Redi, Francesco, 156, 204 Rees, Graham, 70, 98, 237 Reformation, 133, 150 Régnier, Edme, 274 religion, 121, 124-136, 141, 142, 149-151, 227, 228, 260 and Enlightenment science, 115 and science, 229, 245, 260 in China, 300, 331, 337 in England, 231-240, 246 Judeo-Christian, 337 religious tolerance, 132 see also tolerance Renaudot, Théophraste, 194 Renzong emperor, 308 replicators, 44 Republic of Letters, 84, 85, 101, 127, 132, 157, 158, 161, 170, 174, 175-224, 247, 282, 340 and generalized morality, 296 and innovation, 301 and institutions, 214 and the Enlightenment, 216 and the market for ideas, 208 as a “space,” 265 as an elite phenomenon, 283 cosmopolitan, 265 in China, 309 institutionalization of, 282 private order institution, 259 superstars in, 213 transnational character of, 243 unpredictability of, 220 Republic of Science, 214, 220 reputation games, 203 reputation mechanism, 282 reputations, 56, 128, 154, 181, 183-189, 215, 218, 282 in the Republic of Letters, 200-208 payoff in market for ideas, 188 Rescher, Nicholas, 76 resistance to change, of evolutionary systems, 30 resistance to innovation, 16, 19, 65, 165 in China, 301 resistance to technological progress, 278 respect, 39, 82, 124, 153, 182, 194, 207, 248, 298 for ancient wisdom, 17, 153, 194, 248, 249, 252-255, 258, 295, 298, 309, 319, 333 for bourgeoisie, 121 for labor, 122, 136, 139 responsa, 128 Respublica Christiana, 186 Respublica Literaria, 186 Reston, James, 152 revolutions, 54 Reynolds, Richard, 277 Reynolds, Terry, 272 Rheticus, Georg Joachim, 197 rhetorical bias, 52, 55, 56, 100, 110, 115, 133, 217, 219, 262 rhetorical criteria, 45 Ricardo, David, 278 Ricci, Matteo, 301, 304, 326, 335 Richardson, Philip, 317 Richelieu, Cardinal, 171, 241 Richerson, Peter J., 8, 24, 26, 33, 36, 48, 65 Rider, Robin E., 279 Ridley, Matt, 27 Ringmar, Erik, 59 risk, preferences toward, 141 Roberts, Lissa, 139, 140, 269 Roberts, Richard, 125 Roberval, Gilles de, 281 Robins, Benjamin, 271 Robinson, Eric, 79, 265, 268 Robinson, James, 5, 10-12, 61, 174 Robison, John, 274 Rodrik, Dani, 14 Roe, Shirley, 102 Roetz, Heiner, 136 Roland, Gerard, 11, 18 Roman Inquisition, 171 Rome, ancient, 132, 143 Ronan, Colin A., 299, 302, 324, 337 Rose Diagram, 52 Rosen, Sherwin, 213 Rosen, Stanley, 250 Rosenberg, Nathan, 200, 283 Rosenthal, Jean Laurent, 287, 289 Rossi, Paolo, 70, 72, 75, 85, 146, 151, 162, 198, 247, 254, 261 Rota Club, 87 Rotterdam, 175 Rousseau, Jean Jacques, 96, 109, 177, 255, 263, 265, 276 Rowe, William T., 291, 295, 304, 305, 307, 321, 330, 331 Royal Institution, 90 Royal Society, 68, 70, 86, 87-90, 93, 105, 108, 109, 111, 154, 181, 191, 196, 207, 229, 222, 230, 232, 237, 280-282 Rozier, François, 194 Rudolf II, Emperor, 182, 185, 188, 206, 207, 219 Rumford, Count, 90, 265 Ruscelli, Girolamo, 137 Russia, 149 Saeger, David de, 304 Saez-Marti, Maria, 35 Saint Pierre, Abbé, 241, 263 salient event bias, 55, 219 Salomon’s House, 77, 89, 115 salons, 217 saltationism, 26, 27 Sandberg, Lars, 126 Sapienza, Paola, 13, 14 Sarpi, Paolo, 127, 176 Saviotti, Paolo, 31 Scaliger, Joseph, 179 Scandinavia, literacy in, 126 Schäfer, Dagmar, 329, 330, 336 Schaffer, Simon, 139, 140, 191, 192, 209, 223, 269 Schall von Bell, Johann Adam, 325 Scheele, Karl Wilhelm, 271 Schich, Maximilian, 175 Schliesser, Eric, 102 Schmidt, Benjamin, 139 Schoeck, R.J., 151, 179, 217 Schofield, Robert E., 245 Schreiber, Darren, 24 Schumpeter, Joseph A., 60, 64 Schumpeterian growth, 16, 122, 143 and religion, 133 Schwartz, Shalom, 136 Schweinfurt, 281 science, 41, 48, 71, 76, 80, 82, 89, 146, 163, 211, 216, 219, 233, 275 applications of, 193, 223, 269, 272 British vs.
Why Stock Markets Crash: Critical Events in Complex Financial Systems by Didier Sornette
Asian financial crisis, asset allocation, Berlin Wall, Bretton Woods, Brownian motion, capital asset pricing model, capital controls, continuous double auction, currency peg, Deng Xiaoping, discrete time, diversified portfolio, Elliott wave, Erdős number, experimental economics, financial innovation, floating exchange rates, frictionless, frictionless market, full employment, global village, implied volatility, index fund, information asymmetry, intangible asset, invisible hand, John von Neumann, joint-stock company, law of one price, Louis Bachelier, mandelbrot fractal, margin call, market bubble, market clearing, market design, market fundamentalism, mental accounting, moral hazard, Network effects, new economy, oil shock, open economy, pattern recognition, Paul Erdős, Paul Samuelson, quantitative trading / quantitative ﬁnance, random walk, risk/return, Ronald Reagan, Schrödinger's Cat, selection bias, short selling, Silicon Valley, South Sea Bubble, statistical model, stochastic process, Tacoma Narrows Bridge, technological singularity, The Coming Technological Singularity, The Wealth of Nations by Adam Smith, Tobin tax, total factor productivity, transaction costs, tulip mania, VA Linux, Y2K, yield curve
Thaler concluded that rather than rationally pricing mortality, people had a cognitive disconnect; they put a premium on new risks and casually discounted familiar ones . In experiments designed to test his ideas, Thaler found that subjects would usually agree to pay more for a drink if they were told that the beer is being purchased from an exclusive hotel rather than from a rundown grocery. It strikes them as unfair to pay the same. This violates the law-of-one-price that one drink is worth the same as another, and it suggests that people care as much about being treated fairly as they do about the actual value of what they are paying for [227, 228]. An important discovery, extending the framing principle of Kahneman and Tversky, was “mental accounting” [423, 373]. “Framing” says that the positioning of choices prejudices the outcome, an issue that received a lot of publicity in the 2000 U.S. presidential election.
Another example is that the fundamental equations of motion of so-called “strings,” formulated to describe the fundamental particles such as quarks and electrons, derive from global symmetry principles and dualities between descriptions at long-range and short-range scales. Are there similar principles that can guide the determination of the equations of motion of the more down-to-earth ﬁnancial markets? The Principle of Absence of Arbitrage Opportunity One such organizing principle is the condition of absence of arbitrage opportunity, which we have already visited in chapter 2. Recall that no-arbitrage, also known as the Law of One Price, states that two assets with identical attributes should sell for the same price, and so should the same asset trading in two different markets. If the prices differ, a proﬁtable opportunity arises to sell the asset where it is overpriced model ing bubbles a n d c r a s h e s 137 and to buy it where it is underpriced. The basic idea is that, if there are arbitrage opportunities, they cannot live long or must be quite subtle, otherwise traders would act on them and arbitrage them away.
Machine, Platform, Crowd: Harnessing Our Digital Future by Andrew McAfee, Erik Brynjolfsson
3D printing, additive manufacturing, AI winter, Airbnb, airline deregulation, airport security, Albert Einstein, Amazon Mechanical Turk, Amazon Web Services, artificial general intelligence, augmented reality, autonomous vehicles, backtesting, barriers to entry, bitcoin, blockchain, book scanning, British Empire, business process, carbon footprint, Cass Sunstein, centralized clearinghouse, Chris Urmson, cloud computing, cognitive bias, commoditize, complexity theory, computer age, creative destruction, crony capitalism, crowdsourcing, cryptocurrency, Daniel Kahneman / Amos Tversky, Dean Kamen, discovery of DNA, disintermediation, distributed ledger, double helix, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, ethereum blockchain, everywhere but in the productivity statistics, family office, fiat currency, financial innovation, George Akerlof, global supply chain, Hernando de Soto, hive mind, information asymmetry, Internet of things, inventory management, iterative process, Jean Tirole, Jeff Bezos, jimmy wales, John Markoff, joint-stock company, Joseph Schumpeter, Kickstarter, law of one price, Lyft, Machine translation of "The spirit is willing, but the flesh is weak." to Russian and back, Marc Andreessen, Mark Zuckerberg, meta analysis, meta-analysis, moral hazard, multi-sided market, Myron Scholes, natural language processing, Network effects, new economy, Norbert Wiener, Oculus Rift, PageRank, pattern recognition, peer-to-peer lending, performance metric, Plutocrats, plutocrats, precision agriculture, prediction markets, pre–internet, price stability, principal–agent problem, Ray Kurzweil, Renaissance Technologies, Richard Stallman, ride hailing / ride sharing, risk tolerance, Ronald Coase, Satoshi Nakamoto, Second Machine Age, self-driving car, sharing economy, Silicon Valley, Skype, slashdot, smart contracts, Snapchat, speech recognition, statistical model, Steve Ballmer, Steve Jobs, Steven Pinker, supply-chain management, TaskRabbit, Ted Nelson, The Market for Lemons, The Nature of the Firm, Thomas L Friedman, too big to fail, transaction costs, transportation-network company, traveling salesman, two-sided market, Uber and Lyft, Uber for X, Watson beat the top human players on Jeopardy!, winner-take-all economy, yield management, zero day
Producers aren’t necessarily thrilled with consumer surplus. They’d rather get all the money each customer is willing to pay (and sometimes they find a way to do that by charging them different prices). But more often they can’t. In competitive markets with well-informed consumers, the same products sell for the same single price everywhere. It’s a phenomenon so consistent that it’s known in economics as the “law of one price.” The triangle to the right of the revenue rectangle represents consumers who didn’t get the product because they weren’t willing or able to pay P* for it. They are the segment of the market that is unserved at what’s called the “market equilibrium price.” Figure 5 The supply and demand graph that appears in every microeconomics textbook An iPhone has a demand curve that looks something like the one in Figure 3, and so does each available app for the phone.
., 21 Keirstead, Karl, 143 kernel, 240 Keynes, John Maynard, 278–79, 287, 309–10 Khosla, Vinod, 94 Kickstarter, 262 “killer app,” 157 Kim, Pauline, 40–41 Kimberley Process, 289–90 kinases, 116–17 kitchen, automated, 94 Kiva Systems, 103 Klein, Gary, 56 knowledge access to, in second machine age, 18 markets and, 332 prediction markets and, 238 knowledge differentials, See information asymmetries Kodak, 131, 132 Kohavi, Ronny, 45, 51 Kohl’s, 62–63 Koike, Makoto, 79–80 Komatsu, 99 Koum, Jan, 140 Krawisz, Daniel, 304 Kurzweil, Ray, 308 Lakhani, Karim, 252–55, 259 landline telecommunications, 134–35 land title registry, 291 language learning styles, 67–69 Lasker, Edward, 2 Lawee, David, 166 law of one price, 156 Lea, Ed, 170 leadership, geeky, 244–45, 248–49 lead users, 265 LeCun, Yann, 73, 80, 121 ledger, See blockchain Legg, Shane, 71 Lehman, Bastian, 184 Lei Jun, 203 Leimkuhler, John F., 182 “lemons,” 207 Lending Club, 263 level 5 autonomy, 82 leveraging of assets, O2O platforms for, 196–97 Levinovitz, Alan, 3 Levinson, Art, 152 libraries, 229–32 Library of Congress, 231 links, 233 Linq, 290–91 Linux, 240–45, 248, 249, 260 liquidity and network effects, 206 O2O platforms as engines of, 192–96 Livermore, Shaw, 22–23 locking in users, 217 lodging; See also Airbnb differences between Airbnb and hotels, 222–23 Priceline and, 223–24 “Logic Theorist” program, 69 Long, Tim, 204 Los Angeles, California hotel occupancy rates, 221–22 Postmates in, 185 Uber’s effect on taxi service, 201 LTE networks, 96 Luca, Michael, 209n Lyft, 186, 201, 208, 218 Ma, Jack, 7 machine age, See second machine age machine intelligence mind as counterpart to, 15 superiority to System 1 reasoning, 38–41 machine learning, 66–86; See also artificial intelligence AlphaGo and, 73 back-office work and, 82–83 early attempts, 67–74 in Obama’s 2012 presidential campaign, 48–51 O2O business data and, 194 statistical pattern recognition and, 72–74 machine(s); See also artificial intelligence; robotics; standard partnership and business process reengineering, 32–33 and creativity, 110–19 defined, 14 human connection in digitized world, 122–24 human judgment and, 34–45 new mind-machine partnership, 46–62 and uniquely human domains, 110–26 Mad Men (TV drama), 48 Madrigal, Alexis, 295–96 magazines ad revenue (late 1990s), 130 ad revenue (2013), 132–33 new content platforms’ effect on revenue, 139 MakerBot, 273 maker movement, 271–72 Makhijani, Vish, 324–25 malls, 131, 134 Malone, Tom, 311, 313 management/managers continued importance of, 320–23 and economics of the firm, 309 as portion of US workforce, 321 in post-standard partnership world, 323–26 manufacturing electricity’s effect on, 19–24 robotics in, 102 transition from molds to 3D printing, 104–7 Manyika, James, 332 Manzi, Jim, 62–63 Marchant, Jo, 66n Marcus, Gary, 5, 71 marginal costs bundling and, 147 of computer storage, 136 of digital copies, 136, 137 of perishing inventory, 180, 181 of platforms, 137 of platforms vs. products, 147, 220 and Uber’s market value, 219 marginal utility, 258–59 “Market for ‘Lemons,’ The” (Akerlof), 207 market research, 13–14, 261–63 market(s) centrally planned economies vs., 235–37 companies and, 309–11 costs inherent in, 310–11 as crowd, 235–39 information asymmetries and, 206–7 prediction markets, 237–39 production costs vs. coordination costs, 313–14 Markowitz, Henry, 268 Marshall, Matt, 62 Martin, Andrew, 40–41 Marx, Karl, 279 Masaka, Makoto, 79–80 “Mastering the Game of Go with Deep Neural Networks and Tree Search” (Nature article), 4 Maugham, Somerset, 110 Mazzella, Frédéric, 190 McCarthy, John, 67 McClatchy Company, 132 McDonald’s, 92 McElheren, Kristina, 42 McKinsey Global Institute, 332 Mechanical Turk, 260 Medallion Fund, 267 medical devices crowd-designed, 272–75 3D printing and, 106 medical diagnosis, 123–24 Meehl, Paul, 41–42, 53–54, 56, 81 MegaBLAST, 253, 254 Menger, Carl, 25 Men’s Fitness, 132 Merton, Robert K., 189 Metallica, 144 Microsoft core capabilities, 15 machine learning, 79 proprietary software, 240 as stack, 295 Windows Phone platform, 167–68 Microsoft Research, 84 Milgrom, Paul, 315n milking systems, 101 Mims, Christopher, 325 mind, human as counterpart to machine intelligence, 15 undetected biases in, 42–45 Minsky, Marvin, 73, 113 Mitchell, Alan, 11, 12 MIT Media Lab, 272 mobile telephones, 129–30, 134–35 Mocan, Naci, 40 molds, 104–5 Moley Robotics, 94 Momentum Machines, 94 Moody’s, 134 Moore, John, 315 Moore’s law, 308 and Cambrian Explosion of robotics, 97–98 defined, 35 neural networks and, 75 System 2 reasoning and, 46 and 3D printing, 107 Morozov, Evgeny, 297 Mt.
Affordable Care Act / Obamacare, Airbnb, algorithmic trading, barriers to entry, Berlin Wall, bitcoin, Build a better mousetrap, centralized clearinghouse, Chuck Templeton: OpenTable, commoditize, computer age, computerized markets, crowdsourcing, deferred acceptance, desegregation, experimental economics, first-price auction, Flash crash, High speed trading, income inequality, Internet of things, invention of agriculture, invisible hand, Jean Tirole, law of one price, Lyft, market clearing, market design, medical residency, obamacare, proxy bid, road to serfdom, school choice, sealed-bid auction, second-price auction, second-price sealed-bid, Silicon Valley, spectrum auction, Spread Networks laid a new fibre optics cable between New York and Chicago, Steve Jobs, The Wealth of Nations by Adam Smith, two-sided market
For example, as I write this in 2014, two Stanford graduate students, Markus Baldauf and Joshua Mollner, are following up on the work of Budish and his colleagues by proposing a new design based on inserting some delays in how quickly offers may be accepted compared to how quickly they may be canceled, to protect liquidity providers in a different way from having their stale bids and asks sniped. [>] a better market: See Claudia Steinwender, “Information Frictions and the Law of One Price: ‘When the States and the Kingdom Became United’” (working paper, London School of Economics and Political Science, October 2014). [>] I received the offer: Christopher Avery, Christine Jolls, Richard A. Posner, and Alvin E. Roth, “The New Market for Federal Judicial Law Clerks,” University of Chicago Law Review 74 (Spring 2007): 448. [>] courtroom gladiators: Alex Kozinski, “Confessions of a Bad Apple,” Yale Law Journal 100 (April 1991): 1707. [>] “Increasing numbers”: Stanford Law School, “Open Letter to Federal Judges About Clerkships from Dean Larry Kramer,” SLS News, July 17, 2012, http://blogs.law.stanford.edu/newsfeed/2012/07/17/open-letter-to-federal-judges-about-clerkships-from-dean-larry-kramer/. [>] “Although the judges”: Judge John D.
Expected Returns: An Investor's Guide to Harvesting Market Rewards by Antti Ilmanen
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, commoditize, 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, information asymmetry, 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, Myron Scholes, negative equity, New Journalism, oil shock, p-value, passive investing, Paul Samuelson, 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, selection bias, Sharpe ratio, short selling, sovereign wealth fund, statistical arbitrage, statistical model, stochastic volatility, survivorship bias, 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, zero-sum game
• Even with stocks, there are occasions where an issuer has enough monopoly power to create (deliberate or accidental) scarcity. A well-known example is the Palm/3Com case, in which, near the peak of the dot.com mania, 3Com spun off its subsidiary Palm, selling 5% of its shares in the open market and promising the rest later. Palm instantly acquired a greater total market capitalization than its corporate parent 3Com, implying that the stub (3Com ex Palm) had a negative value. The Law of One Price clearly did not apply. Too few shares of Palm were available for arbitrageurs to take advantage of the opportunity (to sell Palm shares and buy 3Com shares, earning a large riskless profit). Once further Palm shares became available, this anomaly disappeared. Demand effects—examples • Demographic developments may have a significant impact on asset prices but the results are controversial.
.; Matthew Raskin; Julie Remache; and Brian P. Sack (2010), “Large-scale asset purchases by the federal reserve: Did they work?” Federal Reserve Bank of New York, Staff Report 441. Garcia, Juan A.; and Thomas Werner (2010), “Inflation risks and inflation risk premia,” European Central Bank working paper 1162. Garleanu, Nicolae; and Lasse H. Pedersen (2009a), “Margin-based asset pricing and deviations from the law of one price,” New York University working paper. Garleanu, Nicolae; and Lasse H. Pedersen (2009b), “Dynamic trading with predictable returns and transaction costs,” New York University working paper. Garleanu, Nicolae; Lasse H. Pedersen; and Allen M. Poteshman (2009), “Demand-based option pricing,” Review of Financial Studies 22(10), 4259–4299. Geanakoplos, John (2010), “The leverage cycle,” Cowles Foundation discussion paper 1715R.
The Drunkard's Walk: How Randomness Rules Our Lives by Leonard Mlodinow
Albert Einstein, Alfred Russel Wallace, Antoine Gombaud: Chevalier de Méré, Atul Gawande, Brownian motion, butterfly effect, correlation coefficient, Daniel Kahneman / Amos Tversky, Donald Trump, feminist movement, forensic accounting, Gerolamo Cardano, Henri Poincaré, index fund, Isaac Newton, law of one price, pattern recognition, Paul Erdős, probability theory / Blaise Pascal / Pierre de Fermat, RAND corporation, random walk, Richard Feynman, Richard Feynman, Ronald Reagan, Stephen Hawking, Steve Jobs, The Wealth of Nations by Adam Smith, The Wisdom of Crowds, Thomas Bayes, V2 rocket, Watson beat the top human players on Jeopardy!
Andrew Metrick, “Performance Evaluation with Transactions Data: The Stock Selection of Investment Newsletters, Journal of Finance 54, no. 5 (October 1999): 1743–75; and “The Equity Performance of Investment Newsletters” (discussion paper no. 1805, Harvard Institute of Economic Research, Cambridge, Mass., November 1997). 19. James J. Choi, David Laibson, and Brigitte Madrian, “Why Does the Law of One Price Fail? An Experiment on Index Mutual Funds” (working paper no. W12261, National Bureau of Economic Research, Cambridge, Mass., May 4, 2006). 20. Leonard Koppett, “Carrying Statistics to Extremes,” Sporting News, February 11, 1978. 21. By some definitions, Koppett’s system would be judged to have failed in 1970; by others, to have passed. See CHANCE News 13.04, April 18, 2004–June 7, 2004, http://www.dartmouth.edu/-chance/chance_news/recent_news/chance_news_13.04.htm. 22.
The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies by Erik Brynjolfsson, Andrew McAfee
2013 Report for America's Infrastructure - American Society of Civil Engineers - 19 March 2013, 3D printing, access to a mobile phone, additive manufacturing, Airbnb, Albert Einstein, Amazon Mechanical Turk, Amazon Web Services, American Society of Civil Engineers: Report Card, Any sufficiently advanced technology is indistinguishable from magic, autonomous vehicles, barriers to entry, basic income, Baxter: Rethink Robotics, British Empire, business intelligence, business process, call centre, Chuck Templeton: OpenTable, clean water, combinatorial explosion, computer age, computer vision, congestion charging, corporate governance, creative destruction, crowdsourcing, David Ricardo: comparative advantage, digital map, employer provided health coverage, en.wikipedia.org, Erik Brynjolfsson, factory automation, falling living standards, Filter Bubble, first square of the chessboard / second half of the chessboard, Frank Levy and Richard Murnane: The New Division of Labor, Freestyle chess, full employment, game design, global village, happiness index / gross national happiness, illegal immigration, immigration reform, income inequality, income per capita, indoor plumbing, industrial robot, informal economy, intangible asset, inventory management, James Watt: steam engine, Jeff Bezos, jimmy wales, job automation, John Markoff, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, Joseph Schumpeter, Kevin Kelly, Khan Academy, knowledge worker, Kodak vs Instagram, law of one price, low skilled workers, Lyft, Mahatma Gandhi, manufacturing employment, Marc Andreessen, Mark Zuckerberg, Mars Rover, mass immigration, means of production, Narrative Science, Nate Silver, natural language processing, Network effects, new economy, New Urbanism, Nicholas Carr, Occupy movement, oil shale / tar sands, oil shock, pattern recognition, Paul Samuelson, payday loans, price stability, Productivity paradox, profit maximization, Ralph Nader, Ray Kurzweil, recommendation engine, Report Card for America’s Infrastructure, Robert Gordon, Rodney Brooks, Ronald Reagan, Second Machine Age, self-driving car, sharing economy, Silicon Valley, Simon Kuznets, six sigma, Skype, software patent, sovereign wealth fund, speech recognition, statistical model, Steve Jobs, Steven Pinker, Stuxnet, supply-chain management, TaskRabbit, technological singularity, telepresence, The Bell Curve by Richard Herrnstein and Charles Murray, The Signal and the Noise by Nate Silver, The Wealth of Nations by Adam Smith, total factor productivity, transaction costs, Tyler Cowen: Great Stagnation, Vernor Vinge, Watson beat the top human players on Jeopardy!, winner-take-all economy, Y2K
This means that in any single market, competition will tend to bid the prices of the factors of production—such as labor or capital—to a single, common price.* Over the past few decades, lower transaction in communication costs have helped create one big global market for many products and services. Businesses can identify and hire workers with skills they need anywhere in the world. If a worker in China can do the same work as an American, then what economists call “the law of one price” demands that they earn essentially the same wages, because the market will arbitrage away differences just as it would for other commodities. That’s good news for the Chinese worker, and for overall economic efficiency. But is not good news for the American worker who now faces low-cost competition. A number of economists have made exactly this argument. Michael Spence, in his brilliant book The Next Convergence, explains how the integration of global markets is leading to enormous dislocations, especially in labor markets.27 The factor price equalization story yields a testable prediction: American manufacturers would be expected to shift production overseas, where costs are lower.
Wall Street: How It Works And for Whom by Doug Henwood
accounting loophole / creative accounting, activist fund / activist shareholder / activist investor, affirmative action, Andrei Shleifer, asset allocation, asset-backed security, bank run, banking crisis, barriers to entry, borderless world, Bretton Woods, British Empire, capital asset pricing model, capital controls, central bank independence, computerized trading, corporate governance, corporate raider, correlation coefficient, correlation does not imply causation, credit crunch, currency manipulation / currency intervention, David Ricardo: comparative advantage, debt deflation, declining real wages, deindustrialization, dematerialisation, diversification, diversified portfolio, Donald Trump, equity premium, Eugene Fama: efficient market hypothesis, experimental subject, facts on the ground, financial deregulation, financial innovation, Financial Instability Hypothesis, floating exchange rates, full employment, George Akerlof, George Gilder, hiring and firing, Hyman Minsky, implied volatility, index arbitrage, index fund, information asymmetry, interest rate swap, Internet Archive, invisible hand, Irwin Jacobs, Isaac Newton, joint-stock company, Joseph Schumpeter, kremlinology, labor-force participation, late capitalism, law of one price, liberal capitalism, liquidationism / Banker’s doctrine / the Treasury view, London Interbank Offered Rate, Louis Bachelier, market bubble, Mexican peso crisis / tequila crisis, microcredit, minimum wage unemployment, money market fund, moral hazard, mortgage debt, mortgage tax deduction, Myron Scholes, oil shock, Paul Samuelson, payday loans, pension reform, Plutocrats, plutocrats, price mechanism, price stability, prisoner's dilemma, profit maximization, publication bias, Ralph Nader, random walk, reserve currency, Richard Thaler, risk tolerance, Robert Gordon, Robert Shiller, Robert Shiller, selection bias, shareholder value, short selling, Slavoj Žižek, South Sea Bubble, The inhabitant of London could order by telephone, sipping his morning tea in bed, the various products of the whole earth, The Market for Lemons, The Nature of the Firm, The Predators' Ball, The Wealth of Nations by Adam Smith, transaction costs, transcontinental railway, women in the workforce, yield curve, zero-coupon bond
Princeton University Press). Fritz, Sara (1995). "Stock Deals Put Lawmakers Under Scrutiny," Los Angeles Times,]une27, p. Al. Fromme, Herbert (1995). "Munich Re Counts the Cost of Chaos," Lloyd's List, March 14, 1995. Fromson, Brett D. (1994). "Whitewater Rumors Push Dow Down 23; Perceptions, Not Specifics, Spook Markets," Washington Post, March 11. Froot, Kenneth A., Michael Kim, and Keneth Rogoff (1995). "The Law of One Price Over 700 Years," mimeo, Harvard Business School. Froot, Kenneth A., and Andre F. Perold (1990). "New Trading Practices and Short-Run Market Efficiency," National Bureau of Economic Research Working Paper No. 3498. Fullerton, Howard N. (1992). "Evaluation of Labor Force Projections to 1990," Monthly Labor Review 115 (August), pp. 3-14. Galbraith, John Kenneth (1967/1978). We New Industrial State, third edition (New York: Houghton Mifflin Co
The Quants by Scott Patterson
Albert Einstein, asset allocation, automated trading system, beat the dealer, 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, commoditize, computerized trading, Credit Default Swap, credit default swaps / collateralized debt obligations, diversification, Donald Trump, Doomsday Clock, Edward Thorp, Emanuel Derman, Eugene Fama: efficient market hypothesis, fixed income, Gordon Gekko, greed is good, Haight Ashbury, I will remember that I didn’t make the world, and it doesn’t satisfy my equations, index fund, invention of the telegraph, invisible hand, Isaac Newton, job automation, John Meriwether, John Nash: game theory, law of one price, Long Term Capital Management, Louis Bachelier, mandelbrot fractal, margin call, merger arbitrage, money market fund, Myron Scholes, NetJets, new economy, offshore financial centre, old-boy network, Paul Lévy, Paul Samuelson, 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
While this was difficult when traders were swapping stocks beneath a buttonwood tree on Wall Street in the eighteenth century, the invention of the telegraph—and the telephone, the high-speed modem, and a grid of orbiting satellites—has made it much easier to accomplish in modern times. Such obvious discrepancies in practice are rare and are often hidden in the depths of the financial markets like gold nuggets in a block of ore. That’s where the quants, the math whizzes, step in. Behind the practice of arbitrage is the law of one price (LOP), which states that a single price should apply to gold in New York as in London, or anywhere else for that matter. A barrel of light, sweet crude in Houston should cost the same as a barrel of crude in Tokyo (minus factors such as shipping costs and variable tax rates). But flaws in the information certain market players may have, technical factors that lead to brief discrepancies in prices, or any number of other market-fouling factors can trigger deviations from the LOP.
Unconventional Success: A Fundamental Approach to Personal Investment by David F. Swensen
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, money market fund, passive investing, Paul Samuelson, pez dispenser, price mechanism, profit maximization, profit motive, risk tolerance, risk-adjusted returns, Robert Shiller, Robert Shiller, shareholder value, Silicon Valley, Steve Ballmer, survivorship bias, technology bubble, the market place, transaction costs, Vanguard fund, yield curve, zero-sum game
Index funds involve passive replication of market characteristics, representing the fund-management world’s version of a pure commodity. The execution of index-fund management requires no particular strategy, depends on no specially trained personnel, and produces no newsworthy track record. After funds under management reach an appropriate scale, size ceases to matter. In contrast to the world of active management, passive management produces a simple story. Economic theory teaches the law of one price, viz., that in freely competitive markets identical goods or services trade at identical prices. In the case of index-fund management, the portfolio management fees charged by various service providers should be identical, or nearly so. Otherwise, rational consumers transfer funds from high-cost providers to low-cost providers, thereby driving the greedy (or inefficient) fund-management companies to reduce prices or exit the business.
The Fissured Workplace by David Weil
accounting loophole / creative accounting, affirmative action, Affordable Care Act / Obamacare, banking crisis, barriers to entry, business process, call centre, Carmen Reinhart, Cass Sunstein, Clayton Christensen, clean water, collective bargaining, commoditize, corporate governance, corporate raider, Corrections Corporation of America, Daniel Kahneman / Amos Tversky, David Ricardo: comparative advantage, declining real wages, employer provided health coverage, Frank Levy and Richard Murnane: The New Division of Labor, George Akerlof, global supply chain, global value chain, hiring and firing, income inequality, information asymmetry, intermodal, inventory management, Jane Jacobs, Kenneth Rogoff, law of one price, loss aversion, low skilled workers, minimum wage unemployment, moral hazard, Network effects, new economy, occupational segregation, Paul Samuelson, performance metric, pre–internet, price discrimination, principal–agent problem, Rana Plaza, Richard Florida, Richard Thaler, Ronald Coase, shareholder value, Silicon Valley, statistical model, Steve Jobs, supply-chain management, The Death and Life of Great American Cities, The Nature of the Firm, transaction costs, ultimatum game, union organizing, women in the workforce, Y2K, yield management
Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education. New York: Columbia University Press. ______. 1968. “Crime and Punishment: An Economic Approach.” Journal of Political Economy 76, no. 1: 169–217. Berle, Adolph, and Gardiner C. Means. 1932. The Modern Corporation and Private Property. New York: Harcourt, Brace and World. Berlinski, Samuel. 2008. “Wages and Contracting Out: Does the Law of One Price Hold?” British Journal of Industrial Relations 46, no. 1: 59–75. Berman, Eli, John Bound, and Zvi Griliches. 1994. “Changes in the Demand for Skilled Labor within US Manufacturing Industries: Evidence from the Annual Survey of Manufacturing.” Quarterly Journal of Economics 109, no. 2: 367–397. Berman, Eli, John Bound, and Stephen Machin. 1998. “Implications of Skill-Biased Technological Change: International Evidence.”