History of the efficient market hypothesis.

The prominent Italian mathematician, Girolamo Cardano, in Liber de Ludo Aleae The Book of Games of Chance wrote: To the extent to which you depart from that equality, if it is in your opponents favour, you are a fool, and if in your own, you are unjust.

Scottish botanist, Robert Brown, noticed that grains of pollen suspended in water had a rapid oscillatory motion when viewed under a microscope. A French stockbroker, Jules Regnault, observed that the longer you hold a security, the more you can win or lose on its price variations: The British physicist, Lord Rayleigh, through his work on sound vibrations is aware of the notion of a random walk.

John Venn, the British logician and philosopher, had a clear concept of both random walk and Brownian motion. Efficient markets were clearly mentioned in a book by George Gibson entitled The Stock Markets of London, Paris and New York. He developed the mathematics and statistics of Brownian motion five years before Einstein A Polish scientist, Marian Smoluchowski, described Brownian motion. De Montessus published a book on probability and its applications, which contains a chapter on finance based on Bachelier's thesis.

Langevin authors the stochastic differential equation of Brownian motion. Bachelier published the book, Le Jeu, la Chance et le Hasard The Game, the Chance and the Hazardwhich sold over six thousand copies. Keynes clearly stated that investors on financial markets are rewarded not for knowing better than the market what the future has in store, but rather for risk baring, this is a consequence of the EMH. Frederick MacCauley, an economist, observed that there was a striking similarity between the fluctuations of the stock market and those of a chance curve which may be obtained by throwing a dice.

Unquestionable proof of the leptokurtic nature of the distribution of returns was given by Maurice Olivier in his Paris doctoral dissertation. Mills, in The Behavior of Pricesproved the leptokurtosis of returns. Alfred Cowles, the American economist and businessman, founded and funded both the Econometric Society and its journal, Econometrica.

Alfred Cowles 3rd analysed the performance of investment professionals and concluded that stock market forecasters cannot forecast. Holbrook Working concludes that stock returns behave like numbers from a lottery. English economist, John Maynard Keynes has General Theory of Employment, Interest, and Money published.

Eugen Slutzky shows that sums of independent random variables may be the source of cyclic processes. In the only paper published before which found significant inefficiencies, Cowles and Jones found significant evidence of serial correlation in averaged time series indices of stock prices. In a continuation of his publication, Cowles again reported that investment professionals do not beat the market. Holbrook Working showed that in an ideal futures market it would be impossible for any professional forecaster to predict price changes successfully.

Milton Friedman points out that, due to arbitrage, the case for the EMH can be made even in situations where the trading strategies of investors are correlated. Kendall analysed 22 price-series at weekly intervals and found to his surprise that they were essentially random. Also, he was the first to note the time dependence of the empirical variance nonstationarity. Harry Roberts demonstrates that a random walk will look very much like an actual stock series.

Osborne shows that the logarithm of common-stock prices follows Brownian motion; and also found evidence of the square root of time rule. Larson presents the results of application of a new method of time-series analysis. He notes that the distribution of price changes is "very nearly normally distributed for the central 80 per cent of the data, but there is an excessive number of extreme values. Cowles revisits the results in Cowles and Jonescorrecting an error introduced by averaging, and still finds mixed temporal dependence results.

Working showed that the use of averages can introduce serial correlations not present in the original series.

Houthakker uses stop-loss sell orders and finds patterns. He also finds leptokurtosis, nonstationarity and suspects nonlinearity. Independently of WorkingAlexander realised that spurious autocorrelation could be introduced by averaging; or if the probability of a rise is not 0.

He concluded that the random walk model best fits the data, but found leptokurtosis in the distribution of returns. Also, this paper was the first to test for nonlinear dependence.

In Pursuit of the Perfect Portfolio: Eugene F. Fama

Muth introduces the rational expectations hypothesis in economics. Mandelbrot first proposes that the tails follow a power law, in IBM Research Note NC Cootner concludes that the stock market is not a random walk. Osborne investigates deviations of stock prices from a simple random walk, and his results include the fact that stocks tend to be traded in concentrated bursts. Moore found insignificant negative serial correlation of the returns of individual stocks, but a slight positive serial correlation for the index.

Benoit Mandelbrot presents and tests a new model of price behaviour. Unlike Bachelier, he uses natural logarithms of prices and also replaces the Gaussian distributions with the more general stable Paretian.

Cootner edited his classic book, The Random Character of Stock Market Pricesa collection of papers by Roberts, Bachelier, Cootner, Kendall, Osborne, Working, Cowles, Moore, Granger and Morgenstern, Alexander, Larson, Steiger, Fama, Mandelbrot and others.

Steiger tests for nonrandomness and concludes that stock prices do not follow a random walk. The origins of the EMH can be traced back to Paul Samuelsonwhose contribution is neatly summarized by the title of his article 'Proof that Properly Anticipated Prices Fluctuate Randomly'. His contribution is neatly summarized by the title of his article: He correctly focussed on the concept of a martingalerather than a random walk as in Fama Fama explains how the theory of random walks in stock market prices presents important challenges to both the chartist and the proponent of fundamenatl analysis.

Forecasts of Future Prices, Unbiased Markets, and "Martingale" ModelsJournal of BusinessVolume 39, Issue 1, Part 2: Supplement on Security Pricing Jan. Mandelbrot proved some of the first theorems showing how, in competitive markets with rational risk-neutral investors, returns are unpredictable—security values and prices follow random walks.

Fama assembled a comprehensive review of the theory and evidence of market efficiency. Fama, Fisher, Jensen and Rollthough the first to be published was by Ball and Brown On a risk-adjusted basis, he finds that any advantage that the portfolio managers might have is consumed by fees and expenses.

Even if investment management fees and loads are added back to performance measures, and returns are measured gross of management expenses ie, assuming research and other expenses were obtained freeJensen concludes that " on average the funds apparently were not quite successful enough in their trading activities to recoup even their brokerage expenses. The definitive paper on the efficient markets hypothesis is Eugene F. He defines an efficient market thus: Granger and Morgenstern publish the book The Predictability of Stock Market Prices.

Hirshleifer first noted that the expected revelation of information can prevent risk sharing. Scholes price action forex scalping strategy the price effects of secondary offerings and finds that the market is efficient except for some indication of post-event price drift.

LeRoy showed that under risk-aversion, there is no theoretical justification for the martingale property. Malkiel first publishes the classic A Random Walk Down Wall Street. Samuelson generalized his earlier work to include stocks that pay dividends. Ball wrote a survey paper which revealed consistent excess returns after public announcements of firms' earnings.

With a theoretical model, Radner shows when rational expectations equilibria exist that reveal to all traders all of their initial information. Dimson reviews the problems of risk measurement estimating beta when shares are subject to infrequent trading.

Shiller shows that the volatility of long-term interest rates is greater than predicted. Grossman and Joseph E. Stiglitz show that it is impossible for a market to be perfectly informationally efficient.

Because information is costly, prices cannot perfectly reflect the information which is available, since if it did, investors who spent resources on obtaining and analyzing it would receive no compensation. Thus, a sensible model of market equilibrium must leave some incentive for information-gathering security analysis. LeRoy and Porter show excess volatility and market efficiency is rejected. Shiller shows that stock prices move too much to be justified by subsequent changes in dividends, i.

Milgrom and Stokey show that under certain conditions, the receipt of private information dissertation global stock markets today create any incentives to trade.

Tirole shows that unless traders have different priors or are able to obtain insurance in the market, speculation relies on inconsistent plans, and thus is ruled out by rational expectations. Roll examined US orange juice futures prices and the effect of the weather. He found excess volatility. Stochastic oscillator stock market and Richard Thaler discovered that stock prices overreact; list of stock broking firms in mumbai substantial weak form market inefficiencies.

This paper marked the start of behavioural finance. Marsh and Merton analyze the variance-bound methodology used by Shiller and conclude that this approach cannot be used to test the hypothesis of stock market rationality. They also highlight the practical gadget forex rate of rejecting the EMH.

Fischer Black introduces the concept of noise tradersthose who trade on anything other than information, and shows that noise trading is essential to the existence of liquid markets. Summers argues that many fastest way to earn money in red dead redemption tests of market efficiency have very low power in discriminating against plausible forms of inefficiency.

French and Roll found that asset prices are much more volatile during exchange trading hours than during non-trading hours; and they eugene f. fama. the behavior of stock market prices that this is due to trading on private information—the market generates its own news. Fama and French found large negative autocorrelations for stock portfolio return horizons beyond a year. Lo and MacKinlay strongly rejected the random walk hypothesis for weekly stock market returns using the variance-ratio test.

Poterba and Summers show that stock returns show positive autocorrelation over short periods and negative autocorrelation over longer horizons. Conrad and Kaul characterize the stochastic behavior of expected returns on common stock. Cutler, Poterba and Summers found that news does not adequately explain market movement. Eun and Shim found that a substantial amount of interdependence exists among national stock markets, and the results are consistent with informationally efficient international stock markets.

Guimaraes, Kingsman and Taylor edit the book A Reappraisal of the Efficiency of Financial Markets. He makes it clear that the transition between the intuitive idea of market efficiency and the martingale is far from direct. Shiller publishes Market Volatilitya book about the sources of volatility which challenges the EMH. Laffont and Maskin show that the efficient market hypothesis may well fail if there is imperfect competition. Lehmann finds reversals in weekly security returns and rejects the efficient markets hypothesis.

Research

Jegadeesh documents strong evidence of predictable behavior of security returns and rejects the random walk hypothesis. Kim, Nelson and Startz reexamine the empirical evidence for mean-reverting behaviour in stock prices and find that mean reversion is entirely a pre-World War II phenomenon. Matthew Jackson explicitly models the price formation process and shows that if agents are not price-takers, then it is possible to have an equilibrium with fully revealing prices and costly information acquisition.

The Behavior of Stock-Market Prices (The Journal of Business: The Graduate School of Business of the University of Chicago January ). | Raptis Rare Books

Lo developed a test for long-run memory that is robust to short-range dependence, and concludes that there is no evidence of long-range dependence in any of the stock returns indexes tested. Instead of weak-form tests, the first category now covers the more general area of tests for return predictability. Chopra, Lakonishok and Ritter find that stocks overreact.

Bekaert and Hodrick characterize predictable components in excess returns on equity and foreign exchange markets. Bernstein publishes the book Capital Ideasan engaging account of the history of the ideas that shaped modern finance and laced with anecdotes.

Jegadeesh and Titman found that trading strategies that bought past winners and sold past losers realized significant abnormal returns. Richardson shows that the patterns in serial-correlation estimates and their magnitude observed in previous studies should be expected under the null hypothesis of serial independence. Roll observes that in practice it is hard to profit from even the strongest market inefficiencies. Huang and Stoll provide new evidence concerning market microstructure and stock return predictions.

Metcalf and Malkiel find that portfolios of stocks chosen by experts do not consistently beat the market. Lakonishok, Shleifer and Vishny provide evidence that value strategies yield higher returns because these strategies exploit the suboptimal behavior of the typical investor and not because these strategies are fundamentally riskier. Haugen publishes the book The New Finance: The Case Against Efficient Markets. He emphasizes that short-run overreaction which causes momentum in prices may lead to long-term reversals when the market recognizes its past error.

Brian Arthur, et al. Campbell, Lo and MacKinlay publish their seminal book on empirical finance, The Econometrics of Financial Markets. Chan, Jegadeesh and Lakonishok look at momentum strategies and their results suggest a market that responds only gradually to new information.

Chan, Gup and Pan conclude that the world equity markets are weak-form efficient. Dow and Gorton investigate the connection between stock market efficiency and economic efficiency. Elroy Dimson and Massoud Mussavian give a brief history of market efficiency.

Bernstein criticizes the EMH and claims that the marginal benefits of investors acting on information exceed the marginal costs. Zhang presents a theory of marginally efficient markets. Farmer and Lo publish an excellent but brief review article. Shleifer publishes Inefficient Markets: An Introduction to Behavioral Financewhich questions the assumptions of investor rationality and perfect arbitrage.

Shiller publishes the first edition of Irrational Exuberancewhich challenges the EMH, demonstrating that markets cannot be explained historically by the movement of company earnings or dividends. Eugene Fama became the first elected fellow of the American Finance Association. In an excellent historical review paper, Andreou, Pittis and Spanos trace the development of various statistical models proposed since Bachelierin an attempt to assess how well these models capture the empirical regularities exhibited by data on speculative prices.

Mark Rubinstein reexamines some of the most serious historical evidence against market rationality and concludes that markets are rational. Shafer and Vovk publish Probability and Finance: Lewellen and Shanken conclude that parameter uncertainty can be important for characterizing and testing market efficiency. Chen and Yeh investigate the emergent properties of artificial stock markets and show that the EMH can be satisfied with some portions of the artificial time series.

Malkiel examines the attacks on the EHM and concludes that our stock markets are far more efficient and far less predictable than some recent academic papers would have us believe. William Schwert shows that when anomalies are published, practitioners implement strategies implied by the papers and the anomalies subsequently weaken or disappear. In other words, research findings cause the market to become more efficient.

Timmermann and Granger discuss the EMH from the perspective of a modern forecasting approach. Malkiel shows that professional investment managers do not outperform their index benchmarks and provides evidence that by and large market prices do seem to reflect all available information.