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Momentum Strategies

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Author Info
Louis K. C. Chan
Narasimhan Jegadeesh
Josef Lakonishok
Abstract

We relate the predictability of future returns from past returns to the market's underreaction to information, focusing on past earnings news. Past return and past earnings surprise each predict large drifts in future returns after controlling for the other. There is little evidence of subsequent reversals in the returns of stocks with high price and earnings momentum. Market risk, size and book-to- market effects do not explain the drifts. Security analysts' earnings forecasts also respond sluggishly to past news, especially in the case of stocks with the worst past performance. The results suggest a market that responds only gradually to new information.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 5375.

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Date of creation: Dec 1995
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Publication status: published as Journal of Finance (December 1996).
Handle: RePEc:nbr:nberwo:5375

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Find related papers by JEL classification:
G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Ball, Ray & Kothari, S. P., 1989. "Nonstationary expected returns : Implications for tests of market efficiency and serial correlation in returns," Journal of Financial Economics, Elsevier, vol. 25(1), pages 51-74, November. [Downloadable!] (restricted)
  2. Fama, Eugene F & French, Kenneth R, 1992. " The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-65, June. [Downloadable!] (restricted)
  3. De Long, J Bradford, et al, 1990. " Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-95, June. [Downloadable!] (restricted)
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  4. Jegadeesh, Narasimhan, 1990. " Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-98, July. [Downloadable!] (restricted)
  5. Conrad, Jennifer & Kaul, Gautam, 1993. " Long-Term Market Overreaction or Biases in Computed Returns?," Journal of Finance, American Finance Association, vol. 48(1), pages 39-63, March. [Downloadable!] (restricted)
  6. Givoly, Dan & Lakonishok, Josef, 1979. "The information content of financial analysts' forecasts of earnings: Some evidence on semi-strong inefficiency," Journal of Accounting and Economics, Elsevier, vol. 1(3), pages 165-185, December. [Downloadable!] (restricted)
  7. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-36, May-June. [Downloadable!] (restricted)
  8. Lo, Andrew W & MacKinlay, A Craig, 1990. "When Are Contrarian Profits Due to Stock Market Overreaction?," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 3(2), pages 175-205. [Downloadable!] (restricted)
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  9. V.V. Chari & Ravi Jagannathan & Aharon R. Ofer, 1987. "Seasonalities in security returns: the case of earnings announcements," Staff Report 110, Federal Reserve Bank of Minneapolis. [Downloadable!]
  10. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. " Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March. [Downloadable!] (restricted)
  11. De Bondt, Werner F M & Thaler, Richard H, 1987. " Further Evidence on Investor Overreaction and Stock Market Seasonalit y," Journal of Finance, American Finance Association, vol. 42(3), pages 557-81, July. [Downloadable!] (restricted)
  12. Lehmann, Bruce N, 1990. "Fads, Martingales, and Market Efficiency," The Quarterly Journal of Economics, MIT Press, vol. 105(1), pages 1-28, February. [Downloadable!] (restricted)
  13. De Bondt, Werner F M & Thaler, Richard, 1985. " Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July. [Downloadable!] (restricted)
  14. Chopra, Navin & Lakonishok, Josef & Ritter, Jay R., 1992. "Measuring abnormal performance : Do stocks overreact?," Journal of Financial Economics, Elsevier, vol. 31(2), pages 235-268, April. [Downloadable!] (restricted)
  15. Bruce N. Lehmann, 1990. "Fads, Martingales, and Market Efficiency," NBER Working Papers 2533, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  16. Klein, April, 1990. "A direct test of the cognitive bias theory of share price reversals," Journal of Accounting and Economics, Elsevier, vol. 13(2), pages 155-166, July. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Connie Becker & Wayne Ferson & David Myers & Michael Schill, 1998. "Conditional Market Timing with Benchmark Investors," NBER Working Papers 6434, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  2. Engström, Stefan, 2004. "Investment Strategies, Fund Performance and Portfolio Characteristics," Working Paper Series in Economics and Finance 554, Stockholm School of Economics. [Downloadable!]
  3. Heber Farnsworth & Wayne E. Ferson & David Jackson & Steven Todd, 2002. "Performance Evaluation with Stochastic Discount Factors," NBER Working Papers 8791, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  4. Gabriel Hawawini & Donald B. Keim, . "The Cross Section of Common Stock Returns: A Review of the Evidence and Some New Findings," Rodney L. White Center for Financial Research Working Papers 08-99, Wharton School Rodney L. White Center for Financial Research. [Downloadable!]
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