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Mean Reversion in Short-Horizon Expected Returns

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Author Info
Conrad, Jennifer
Kaul, Gautam

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Abstract

This article develops and estimates a simple model for monthly expected stock returns that relies on the rapidly decaying structure of shorter-horizon (weekly) expected returns. The most striking aspect of our findings is that the rapid mean reversion in short-horizon expected returns implies much greater variation through time in monthly expected returns than has been documented in earlier studies. For instance, during the 1962 to 1985 period, over 25 percent of the return variance of small firms can be explained by time variation in expected returns. Article published by Oxford University Press on behalf of the Society for Financial Studies in its journal, The Review of Financial Studies.

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Publisher Info
Article provided by Oxford University Press for Society for Financial Studies in its journal Review of Financial Studies.

Volume (Year): 2 (1989)
Issue (Month): 2 ()
Pages: 225-40
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Handle: RePEc:oup:rfinst:v:2:y:1989:i:2:p:225-40

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  1. Dong-Hyun Ahn & Jacob Boudoukh & Matthew Richardson & Robert Whitelaw, 1999. "Behavioralize This! International Evidence on Autocorrelation Patterns of Stock Index and Futures Returns," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-040, New York University, Leonard N. Stern School of Business-. [Downloadable!]
  2. P. Chelley-Steeley, 2004. "Serial correlation in the returns of UK capitalization based portfolios," Applied Financial Economics, Taylor and Francis Journals, vol. 14(13), pages 975-979, September. [Downloadable!] (restricted)
  3. Bruno Solnik, 1991. "Finance Theory and Investment Management," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 127(III), pages 303-324, September. [Downloadable!]
  4. George Milunovich, 2004. "Modeling dependence structure in size-sorted portfolios: A Structural Multivariate GARCH Model," Econometric Society 2004 Australasian Meetings 55, Econometric Society. [Downloadable!]
  5. Warren Dean & Robert Faff, 2008. "Evidence of feedback trading with Markov switching regimes," Review of Quantitative Finance and Accounting, Springer, vol. 30(2), pages 133-151, February. [Downloadable!] (restricted)
  6. Dong-Hyun Ahn & Jacob Boudoukh & Matthew Richardson & Robert F. Whitelaw, 1999. "Behavioralize This! International Evidence on Autocorrelation Patterns of Stock Index and Futures Returns," NBER Working Papers 7214, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  7. Angelos Kanas & George Kouretas, 2001. "A cointegration approach to the lead-lag effect among size-sorted equity portfolios," Working Papers 0101, University of Crete, Department of Economics. [Downloadable!]
    Other versions:
  8. Mark Grinblatt & Tobias Moskowitz, 1999. "The Cross Section of Expected Returns and its Relation to Past Returns: New Evidence," University of California at Los Angeles, Anderson Graduate School of Management 1100, Anderson Graduate School of Management, UCLA. [Downloadable!]
    Other versions:
  9. Kin Lam & Li Wei, . "Optimal Trading Strategy When Return Process is AR(1)," Computing in Economics and Finance 1997 16, Society for Computational Economics. [Downloadable!]
  10. John Hatgioannides & Spiros Mesomeris, 2005. "Mean Reversion in Equity Prices: the G-7 Evidence," Money Macro and Finance (MMF) Research Group Conference 2005 64, Money Macro and Finance Research Group. [Downloadable!]
  11. Kin Lam & May Chun Mei Wong & Wing-Keung Wong, 2005. "New Variance Ratio Tests to Identify Random Walk from the General Mean Reversion Model," Departmental Working Papers wp0514, National University of Singapore, Department of Economics. [Downloadable!]
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