Stock return predictability despite low autocorrelation
This paper shows that short horizon stock returns can be predicted to a much greater degree by past price movements than would be anticipated given their low autocorrelation. This raises doubts over the reliability of the autocorrelation statistic as a measure of stock market predictability.
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- Brown, Keith C. & Harlow, W. V. & Tinic, Seha M., 1988. "Risk aversion, uncertain information, and market efficiency," Journal of Financial Economics, Elsevier, vol. 22(2), pages 355-385, December.
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- Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
- Brown, Keith C. & Harlow, W. V. & Tinic, Seha M., 1993. "The Risk and Required Return of Common Stock following Major Price Innovations," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(01), pages 101-116, March.
- Park, Jinwoo, 1995. "A Market Microstructure Explanation for Predictable Variations in Stock Returns following Large Price Changes," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(02), pages 241-256, June.
- Lasfer, M. Ameziane & Melnik, Arie & Thomas, Dylan C., 2003. "Short-term reaction of stock markets in stressful circumstances," Journal of Banking & Finance, Elsevier, vol. 27(10), pages 1959-1977, October.
- R. Cont, 2001. "Empirical properties of asset returns: stylized facts and statistical issues," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 223-236.
- Mazouz, Khelifa & Joseph, Nathan L. & Joulmer, Joulmer, 2009. "Stock price reaction following large one-day price changes: UK evidence," Journal of Banking & Finance, Elsevier, vol. 33(8), pages 1481-1493, August.
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