Efficient Capital Markets: Il TORIo Eugene f fama The Journal of finance, Vol. 46, No. 5. (Dec, 1991), pp. 1575-1617 Stable url: http://inks.jstor.org/sici?sici=0022-1082%028199112%02946%3a5%3c1575%3aecmi%3e2.0.co%3b2-l The Journal of finance is currently published by American Finance Association Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/about/terms.htmlJstOr'sTermsandConditionsofUseprovidesinpartthatunlessyou have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non-commercial use Please contact the publisher regarding any further use of this work. Publisher contact information may be obtained at http://wwwjstor.org/journals/afina.html Each copy of any part of a jSTOR transmission must contain the same copyright notice that appears on the screen or printed page of such transmission jStOR is an independent not-for-profit organization dedicated to creating and preserving a digital archive of scholarly journals. For more information regarding JSTOR, please contact support@jstor. org http://www.jstor.org/ Tue Apr2513:07:272006
THE JOURNAL OF FINANCE. VOL, XLVI NO 5. DECEMBER 1991 Efficient Capital Markets: II EUGENE F FAMA SEQUELS ARE RARELY AS good as the originals, so I approach this review of the market efficiency literature with trepidation. The task is thornier than it was 20 years ago, when work on efficiency was rather new. The literature is now so large that a full review is impossible, and is not attempted here Instead, I discuss the work that I find most interesting, and I offer my views on what we have learned from the research on market efficiency I. The Theme I take the market efficiency hypothesis to be the simple statement that security prices fully reflect all available information. a precondition for this strong version of the hypothesis is that information and trading costs, the costs of getting prices to reflect information, are always 0(Grossman and Stiglitz (1980)).A weaker and economically more sensible version of th efficiency hypothesis says that prices reflect information to the point where he marginal benefits of acting on information(the profits to be made) do not exceed the marg inal costs(Jensen(1978)) Since there are surely positive information and trading costs, the extreme version of the market efficiency hypothesis is false. Its advantage however, is that it is a clean benchmark that allows me to sidestep the messy problem of deciding what are reasonable information and trading costs. I can focus instead on the more interesting task of laying out the evidence on the adjustment of prices to various kinds of information. Each reader is then free to judge the scenarios where market efficiency is a good approximation(that is, deviations from the extreme version of the efficiency hypothesis are within information and trading costs) and those where some other model is a better simplifying view of the world mbiguity about information and trading costs is not, however, the main obstacle to inferences about market efficiency. The joint-hypothesis problem is more serious. Thus, market efficiency per se is not testable. It must be Graduate School of Business, University of Chicago. The comments of Fischer Black, David Booth, Michael Bradley, Michael Brennan, Stephen Buser, John Campbell, Nai-fu Chen, John Cochrane, George Constantinides, Wayne Ferson, Kenneth French, Campbell Harvey, Richard ppolito, Michael Jensen, Gautam Kaul, Josef Lakonishok, Bill McDonald, Robert Merton, Mark Mitchell. Sam peltz Jay Ritter Harry Re oll hwert, H. Nejat Seyhun, Jay Shanken, Robert Shiller, Andrei Shleifer, R Stulz, Richard Thaler, Robert Vishny, and Jerold Warner are gratefully acknowledged. This research is supported by the National Science Foundation 1575
1576 The Journal of finance tested jointly with some model of equilibrium, an asset-pricing model point, the theme of the 1970 review(Fama(1970b)), says that we can st whether information is properly reflected in prices in the context pricing model that defines the meaning of"properly. As a result, when we find anomalous evidence on the behavior of returns, the way it should be plit between market inefficiency or a bad model of market equilibrium is Does the fact that market efficiency must be tested jointly with an equilib rium-pricing model make empirical research on efficiency uninteresting? Does the joint-hypothesis problem make empirical work on asset-pricing models uninteresting? These are, after all, symmetric questions, with the same answer. My answer is an unequivocal no. The empirical literature efficiency and asset-pricing models passes the acid test of scientific useful ness. It has changed our views about the behavior of returns, across securi ties and through time. Indeed, academics largely agree on the facts that emerge from the tests, even when they disagree about their implications for efficiency. The empirical work on market efficiency and asset pricing models has also changed the views and practices of market professionals As these summary judgements imply, my view, and the theme of this paper, is that the market efficiency literature should it improves our ability to describe the time- series and cross-section behav. ior of security returns. It is a disappointing fact that, because of the joint hypothesis problem, precise inferences about the degree of market efficiency are likely to remain impossible. Nevertheless, judged on how it has improve our understanding of the behavior of security returns, the past research or market efficiency is among the most successful in empirical economics, with good prospects to remain so in the future Il. The main Areas of Research The 1970 review divides work on market efficiency into three categories (1)weak-form tests(How well do past returns predict future returns? ),(2) semi-strong-form tests(How quickly do security prices reflect public informa tion announcements?), and (3) strong-form tests (Do any investors have private information that is not fully reflected in market prices? )At the risk of damning a good thing, i change the categories in this paper. Instead of weak-form tests, which are only concerned with the forecast ower of past returns, the first category now covers the more general area of tests for return predictability, which also includes the burgeoning work on forecasting returns with variables like dividend yields and interest rates Since market efficiency and equilibrium-pricing issues are inseparable, the discussion of predictability also considers the cross-sectional predictability of returns, that is, tests of asset-pricing models and the anomalies (like the size effect)discovered in the tests. Finally, the evidence that there are seasonals in returns (like the January effect), and the claim that security prices are too
1577 volatile are also considered, but only briefly, under the rubric of return predictability For the second and third categories, i propose changes in title, not cover age. Instead of semi-strong-form tests of the adjustment of prices to public announcements, I use the now common title, event studies. Instead of strong. form tests of whether specific investors have information not in market prices, I suggest the more descriptive title, tests for private information Return predictability is considered first, and in the most detail. The detail reflects my interest and the fact that the implications of the evidence on the predictability of returns through time are the most controversial. In brief, the new work says that returns are predictable from past returns, dividend yields, and various term-structure variables. The new tests thus reject the old market efficiency-constant expected returns model that seemed to do well in the early work. This means, however, that the new results run head-on into che joint-hypothesis problem: Does return predictability reflect rational vari ation through time in expected returns, irrational deviations of price from fundamental value, or some combination of the two? We should also acknowl edge that the apparent predictability of returns may be spurious, the result of data-dredging and chance sample-specific condition The evidence discussed below, that the variation through time in expected returns is common to corporate bonds and stocks and is related in plausible ways to business conditions, leans me toward the conclusion that it is real and rational. Rationality is not established by the existing tests, however, and the joint-hypothesis problem likely means that it cannot be established Still, even if we disagree on the market efficiency implications of the new results on return predictability, I think we can agree that the tests enrich our knowledge of the behavior of returns, across securities and through time Event studies are discussed next, but briefly. Detailed reviews of event studies are already available, and the implications of this research for market efficiency are less controversial. Event studies have, however, been a growth industry during the last 20 years. Moreover I argue that, because they come closest to allowing a break between market efficiency and equilib rium-pricing issues, event studies give the most direct evidence on efficiency And the evidence is mostly supportive Finally, tests for private information are reviewed. The new results clarify earlier evidence that corporate insiders have private information that is not fully reflected in prices. The new evidence on whether professional inves ment managers(mutual fund and pension fund) have private information is, however, murky, clouded by the joint-hypothesis problem III. Return Predictability: Time-Varying Expected Returns through time. Unlike the pre- 1970 work, which focused on forecasting re turns from past returns, recent tests also consider the forecast power of
1578 The Journal of Finance variables like dividend yields(D/P), earnings/price ratios(E/P), and term structure variables. Moreover, the early work concentrated on the pre dictability of daily, weekly, and monthly returns, but the recent tests also examine the predictability of returns for longer horizons Among the more striking new results are estimates that the predictable component of returns is a small part of the variance of daily, weekly, and monthly returns, but it grows to as much as 40% of the variance of 2- to 10-year returns. These results have spurred a continuing debate on whether the predictability of long-horizon returns is the result of irrational bubbles in prices or large rational swings in expected returns I first consider the research on predicting returns from past returns Next comes the evidence that other variables(D/P,E/P, and term-structure variables) forecast returns. The final step is to discuss the implications of this work for market efficiency A. Past returns A. 1. Short-Horizon returns In the pre- 1970 literature, the common equilibrium-pricing model in tests of stock market efficiency is the hypothesis that expected returns are con stant through time. Market efficiency then implies that returns are unpre dictable from past returns or other past variables and the best forecast of a return is its historical mean The early tests often find suggestive evidence that daily, week monthly returns are predictable from past returns. For example,Fama (1965)finds that the first-order autocorrelations of daily returns are positive for 23 of the 30 Dow Jones Industrials and more than 2 standard errors from 0 for 1l of the 30. Fishers(1966)results suggest that the autocorrelations of monthly returns on diversified portfolios are positive and larger than those for individual stocks. The evidence for predictability in the early work often lacks statistical power, however, and the portion of the variance of returns explained by variation in expected returns is so small (less than 1% for individual stocks) that the hypothesis of market efficiency and constant expected returns is typically accepted as a good working model In recent work, daily data on NYSE and AMEX stocks back to 1962 [fr the Center for Research in Security Prices(CRSP)] makes it possible to estimate precisely the autocorrelation in daily and weekly returns. For example, Lo and MacKinlay (1988)find that weekly returns on portfolios of NYSE stocks grouped according to size(stock price times shares outstanding) show reliable positive autocorrelation. The autocorrelation is stronger for portfolios of small stocks. This suggests, however, that the results are due in part to the nonsynchronous trading effect (Fisher 1966). Fisher emphasizes that spurious positive autocorrelation in portfolio returns, induced by non synchronous closing trades for securities in the portfolio, is likely to be more important for portfolios tilted toward small stocks To mitigate the nonsychronous trading problem, Conrad and Kaul ( 1988)