Science China Mathematics

, Volume 55, Issue 11, pp 2367–2378 | Cite as

A discussion of Hong-Stein model

Articles

Abstract

In this paper, we discuss a kind of behavioral asset pricing model, called Hong-Stein model. Although this model succeeded in explaining the momentum and reversal effects, we find it usually reaches two extremes: the absolute value of autocorrelation of return sequence is so large that the direction of returns could be easily forecasted, or the value is so small that the elements in return sequence are almost independent of each other. The empirical results show that these two extremes are not supported by the real market data.

Keywords

under-reaction and overreaction Hong-Stein model return direction 

MSC(2010)

62F03 62M10 62P05 

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References

  1. 1.
    Bondt D, Werner F M, Thaler R H. Does the stock market over-react? J Financ, 1985, 40: 793–805CrossRefGoogle Scholar
  2. 2.
    Brockwell P J, Davis R A. Time Series: Theory and Methods, 2nd ed. New York: Springer-Verlag, 1991CrossRefGoogle Scholar
  3. 3.
    Chan K, Hameed A, Tong W. Profitability of momentum strategies in international equity markets. J Financ Quant Anal, 2000, 35: 153–172CrossRefGoogle Scholar
  4. 4.
    Chen H L, Jegadeesh N, Wermers R. The value of active mutual fund management: An examination of the stockholdings and trades of fund managers. J Financ Quant Anal, 2000, 35: 343–368CrossRefGoogle Scholar
  5. 5.
    Daniel K, Hirshleifer D, Subrahmanyam A. Investor psychology and security market under- and over-reactions. J Financ, 1998, 53: 1839–1886CrossRefGoogle Scholar
  6. 6.
    Diananda P H. The central limit theorem for m-dependent variables asymptotically stationary to second order. Math Proc Cambridge Philos Soc, 1954, 50: 287–292MathSciNetMATHCrossRefGoogle Scholar
  7. 7.
    Fama E, French K. Multifactor explanations of asset pricing anomalies. J Financ Econ, 1996, 51: 55–84Google Scholar
  8. 8.
    Ferguson T S. A Course in Large Sample Theory. London: Chapman and Hall, 1996MATHGoogle Scholar
  9. 9.
    Grinblatt M, Titman S. Mutual fund performance: An analysis of quarterly portfolio holdings. J Business, 1989, 62: 394–415Google Scholar
  10. 10.
    Grinblatt M, Titman S, Wermers R. Momentum investment strategies, portfolio performance, and herding: A study of mutual fund behavior. Amer Econ Review, 1995, 85: 1088–1105Google Scholar
  11. 11.
    Hong H, Stein J. A unified theory of underreaction, momentum trading and overreaction in asset markets. J Financ, 1999, 54: 2143–2184CrossRefGoogle Scholar
  12. 12.
    Jegadeesh N, Titman S. Returns to buying winners and selling losers: Implications for stock market efficiency. J Financ, 1993, 48: 65–91CrossRefGoogle Scholar
  13. 13.
    Moskowitz T, Grinblatt M. Does industry explain momentum? J Financ, 1999, 54: 1249–1290CrossRefGoogle Scholar
  14. 14.
    Nicholas B, Andrei S, Robert V. A model of investor sentiment. J Financ Econ, 1998, 49: 307–343CrossRefGoogle Scholar
  15. 15.
    Rouwenhorst K G. International momentum strategies. J Financ, 1998, 53: 267–284CrossRefGoogle Scholar

Copyright information

© Science China Press and Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.School of Finance and StatisticsEast China Normal UniversityShanghaiChina

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