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Sidelined Investors, Trading-Generated News, and Security Returns

Author

Listed:
  • H. Henry Cao

    (University of North Carolina)

  • Joshua D. Coval

    (Harvard University)

  • David Hirshleifer

    (Ohio State University)

Abstract

This article studies information blockages and the asymmetric release of information in a security market with fixed setup costs of trading. In this setting, "sidelined" investors may delay trading until price movements validate their private signals. Trading thereby internally generates the arrival of further news to the market. This leads to (1) negative skewness following price run-ups and positive skewness following price rundowns (even though the model is ex ante symmetric), (2) a lack of correspondence between large price changes and the arrival of external information, and (3) increases in volatility following large price changes. Copyright 2002, Oxford University Press.

Suggested Citation

  • H. Henry Cao & Joshua D. Coval & David Hirshleifer, 2002. "Sidelined Investors, Trading-Generated News, and Security Returns," Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 615-648, March.
  • Handle: RePEc:oup:rfinst:v:15:y:2002:i:2:p:615-648
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    Citations

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    Cited by:

    1. Banerjee, Snehal & Green, Brett, 2015. "Signal or noise? Uncertainty and learning about whether other traders are informed," Journal of Financial Economics, Elsevier, vol. 117(2), pages 398-423.
    2. Marco Ottaviani & Peter Norman Sørensen, 2015. "Price Reaction to Information with Heterogeneous Beliefs and Wealth Effects: Underreaction, Momentum, and Reversal," American Economic Review, American Economic Association, vol. 105(1), pages 1-34, January.
    3. Jose M. Marin & Jacques P. Olivier, 2008. "The Dog That Did Not Bark: Insider Trading and Crashes," Journal of Finance, American Finance Association, vol. 63(5), pages 2429-2476, October.
    4. Covrig, Vicentiu & Ng, Lilian, 2004. "Volume autocorrelation, information, and investor trading," Journal of Banking & Finance, Elsevier, vol. 28(9), pages 2155-2174, September.
    5. Chen, Joseph & Hong, Harrison & Stein, Jeremy C., 2001. "Forecasting crashes: trading volume, past returns, and conditional skewness in stock prices," Journal of Financial Economics, Elsevier, vol. 61(3), pages 345-381, September.
    6. Hashmi, Aamir R. & Tay, Anthony S., 2007. "Global regional sources of risk in equity markets: Evidence from factor models with time-varying conditional skewness," Journal of International Money and Finance, Elsevier, vol. 26(3), pages 430-453, April.
    7. Blau, Benjamin M. & Smith, Jason M., 2014. "Autocorrelation in daily short-sale volume," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 31-41.
    8. Altı, Aydoğan & Kaniel, Ron & Yoeli, Uzi, 2012. "Why do institutional investors chase return trends?," Journal of Financial Intermediation, Elsevier, vol. 21(4), pages 694-721.
    9. Steven Huddart & Mark Lang & Michelle H. Yetman, 2009. "Volume and Price Patterns Around a Stock's 52-Week Highs and Lows: Theory and Evidence," Management Science, INFORMS, vol. 55(1), pages 16-31, January.
    10. Hirshleifer, David & Teoh, Siew Hong, 2008. "Thought and Behavior Contagion in Capital Markets," MPRA Paper 9164, University Library of Munich, Germany.
    11. Ben-David, Itzhak & Hirshleifer, David, 2011. "Beyond the Disposition Effect: Do Investors Really Like Gains More Than Losses?," Working Paper Series 2011-13, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    12. Wei Zhu, 2016. "Accruals and price crashes," Review of Accounting Studies, Springer, vol. 21(2), pages 349-399, June.
    13. Lai, Jing-yi, 2012. "Shock-dependent conditional skewness in international aggregate stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 72-83.
    14. Alvarez-Ramírez, José & Rodríguez, Eduardo, 2012. "Temporal variations of serial correlations of trading volume in the US stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(16), pages 4128-4135.

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