Behavioral Capital Asset Pricing Theory

This paper develops a capital asset pricing theory in a market where noise traders interact with information traders. Noise traders are traders who commit cognitive errors while information traders are free of cognitive errors. The theory includes the determination of the mean-variance efficient frontier, the return on the market portfolio, the term structure, and option prices. The paper derives a necessary and sufficient condition for the existence of price efficiency in the presence of noise traders and analyzes the effects of noise traders on price efficiency, volatility, return anomalies, volume, and noise trader survival.

[1]  S. Benninga,et al.  Real and Nominal Interest Rates under Uncertainty: The Fisher Theorem and the Term Structure , 1983, Journal of Political Economy.

[2]  Jonathan M. Karpoff.  The Relation between Price Changes and Trading Volume: A Survey , 1987, Journal of Financial and Quantitative Analysis.

[3]  L. Summers.  Does the Stock Market Rationally Reflect Fundamental Values , 1986 .

[4]  Stephen Figlewski,et al.  Market "Efficiency" in a Market with Heterogeneous Information , 1978, Journal of Political Economy.

[5]  M. Statman,et al.  How Useful is the Sentiment Index , 1988 .

[6]  Robert C. Merton,et al.  Dividend variability and variance bounds tests for the rationality of stock market prices , 1984 .

[7]  R. Hogarth,et al.  Confidence in judgment: Persistence of the illusion of validity. , 1978 .

[8]  Stephen Figlewski,et al.  The Informational Content of Implied Volatility , 1993 .

[9]  S. Basu.  The relationship between earnings' yield, market value and return for NYSE common stocks: Further evidence , 1983 .

[10]  J. Jaffe.  Special Information and Insider Trading , 1974 .

[11]  R. Thaler,et al.  Investor Sentiment and the Closed-End Fund Puzzle , 1990 .

[12]  R. Thaler,et al.  Does the Stock Market Overreact , 1985 .

[13]  A. Tversky,et al.  BELIEF IN THE LAW OF SMALL NUMBERS , 1971, Pediatrics.

[14]  Robert L. Winkler,et al.  OPTIMAL SPECULATION AGAINST AN EFFICIENT MARKET , 1976 .

[15]  William Feller,et al.  An Introduction to Probability Theory and Its Applications , 1951 .

[16]  R. Shiller,et al.  Stock Prices, Earnings and Expected Dividends , 1988 .

[17]  April Klein,et al.  A direct test of the cognitive bias theory of share price reversals , 1990 .

[18]  S. P. Kothari,et al.  Nonstationary expected returns: Implications for tests of market efficiency and serial correlation in returns , 1989 .

[19]  A. Kyle.  Continuous Auctions and Insider Trading , 1985 .

[20]  H. Nejat Seyhun,et al.  Insiders' profits, costs of trading, and market efficiency , 1986 .

[21]  A. Beja.  State Preference and the Riskless Interest Rate: A Markov Model of Capital Markets , 1979 .

[22]  Stephen Figlewski.  Information Diversity and Market Behavior , 1982 .

[23]  S. Ross,et al.  A theory of the term structure of interest rates'', Econometrica 53, 385-407 , 1985 .

[24]  Darrell Duffie,et al.  Implementing Arrow-Debreu equilbria by continuous trading of a few long-lived securities , 1985 .

[25]  W. D. Bondt.  Stock Price Reversals and Overreaction to News Events: A Survey of Theory and Evidence , 1989 .

[26]  Colin Camerer.  Does the Basketball Market Believe in the 'Hot Hand'? , 1989 .

[27]  Joram Mayshar.  On Divergence of Opinion and Imperfections in Capital Markets , 1983 .

[28]  H. M. Shefrin.  On the combinatorial structure of Bayesian learning with imperfect information , 1981, Discret. Math..

[29]  E. Fama,et al.  Permanent and Temporary Components of Stock Prices , 1988, Journal of Political Economy.

[30]  L. Blume,et al.  Evolution and market behavior , 1992 .

[31]  L. Summers,et al.  Noise Trader Risk in Financial Markets , 1990, Journal of Political Economy.

[32]  L. Summers,et al.  Positive Feedback Investment Strategies and Destabilizing Rational Speculation , 1989 .

[33]  V. Madrigal,et al.  Testing Financial Market Equilibrium under Asymmetric Information , 1992, Journal of Political Economy.

[34]  Hersh Shefrin.  MARKOV CHAINS, IMPERFECT STATE INFORMATION, AND BAYESIAN LEARNING , 1983 .

[35]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[36]  J. Stein.  Overreactions in the Options Market , 1989 .

[37]  Jay R. Ritter,et al.  Measuring abnormal performance: Do stocks overreact? , 1992 .

[38]  L. Summers,et al.  The Survival of Noise Traders in Financial Markets , 1988 .

[39]  L. Summers,et al.  Do We Really Know that Financial Markets are Efficient? , 1982 .

[40]  S. Schaefer,et al.  The term structure of real interest rates and the Cox, Ingersoll, and Ross model , 1994 .

[41]  A. Kleidon.  Anomalies in Financial Economics: Blueprint for Change? , 1986 .

[42]  Michael R. Gibbons,et al.  A Test of the Cox, Ingersoll, and Ross Model of the Term Structure , 1993 .

[43]  A. Lo,et al.  Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test , 1987 .

[44]  H. Shefrin.  Inferior Forecasters, Cycles, and the Efficient-Markets Hypothesis: A Comment , 1984, Journal of Political Economy.

[45]  R. Banz,et al.  The relationship between return and market value of common stocks , 1981 .

[46]  Brett Trueman,et al.  A Theory of Noise Trading in Securities Markets , 1988 .

[47]  A. Tversky,et al.  The hot hand in basketball: On the misperception of random sequences , 1985, Cognitive Psychology.

[48]  Andrei Shleifer,et al.  The Size and Incidence of the Losses from Noise Trading , 1989 .

[49]  Andre F. Perold,et al.  The Free Lunch in Currency Hedging: Implications for Investment Policy and Peformance Standards , 1988 .

[50]  R. Thaler,et al.  Further Evidence On Investor Overreaction and Stock Market Seasonality , 1987 .

[51]  Richard J. Rogalski,et al.  The January Size Effect: Anomaly or Risk Mismeasurement? , 1986 .

[52]  William Feller,et al.  An Introduction to Probability Theory and Its Applications , 1967 .

[53]  R. Shiller.  Stock Prices and Social Dynamics , 1984 .

[54]  Stephen F. LeRoy,et al.  The Present-Value Relation: Tests Based on Implied Variance Bounds , 1981 .

[55]  Campbell R. Harvey,et al.  The Variation of Economic Risk Premiums , 1990, Journal of Political Economy.

[56]  Roy Radner,et al.  Existence of Equilibrium of Plans, Prices, and Price Expectations in a Sequence of Markets , 1972 .

[57]  S. Ross,et al.  Option pricing: A simplified approach☆ , 1979 .

[58]  Colin Camerer.  Do Biases in Probability Judgment Matter in Markets? Experimental Evidence , 1987 .

[59]  H. Varian.  Divergence of Opinion in Complete Markets: A Note , 1985 .

[60]  E. Fama,et al.  The Cross‐Section of Expected Stock Returns , 1992 .

[61]  Jonathan M. Karpoff.  A Theory of Trading Volume , 1986 .

[62]  W. D. Bondt,et al.  Inflation Forecast Errors and Time Variation in Term Premia , 1992, Journal of Financial and Quantitative Analysis.

[63]  Richard H. Thaler,et al.  Anomalies: A Mean-Reverting Walk Down Wall Street , 1989 .

[64]  R. R. West,et al.  Risk and return: Janaury vs. the rest of the year , 1984 .

[65]  Dilip B. Madan,et al.  The multinomial option pricing model and its Brownian and poisson limits , 1989 .

[66]  David S. Bates.  The Crash of ʼ87: Was It Expected? The Evidence from Options Markets , 1991 .

[67]  L. Josef,et al.  CHOPRA, Navin, and RITTER, . Measuring abnormal performance: Do stocks overreact?, Journal of Financial Economics, , . , 1992 .

[68]  R. Mehra,et al.  THE EQUITY PREMIUM A Puzzle , 1985 .

[69]  M. Statman,et al.  Good companies, bad stocks , 1989 .

[70]  Peter E. Rossi,et al.  Stock Prices and Volume , 1992 .

[71]  Louis K.C. Chan,et al.  Are the Reports of Beta's Death Premature? , 1992 .

[72]  Richard H. Thaler,et al.  Do Security Analysts Overreact , 1990 .

[73]  K. West,et al.  Bubbles, Fads, and Stock Price Volatility Tests: a Partial Evaluation , 1988 .

[74]  J. Ritter.  The Buying and Selling Behavior of Individual Investors at the Turn of the Year , 1988 .

[75]  P. Samuelson.  The "fallacy" of maximizing the geometric mean in long sequences of investing or gambling. , 1971, Proceedings of the National Academy of Sciences of the United States of America.