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A Model of Anomaly Discovery

Author

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  • Qi Liu

    ()

  • Lei Lu
  • Bo Sun
  • Hongjun Yan

Abstract

We analyze a model of anomaly discovery. Consistent with existing evidence, we show that the discovery of an anomaly reduces its magnitude and increases its correlation with existing anomalies. One new prediction is that the discovery of an anomaly reduces the correlation between deciles 1 and 10 for that anomaly. Using data for 12 well-known anomalies, we find strong evidence consistent with this prediction. Moreover, the correlation between deciles 1 and 10 of an anomaly becomes correlated with the aggregate hedge-fund wealth volatility after the anomaly is discovered. Our model also sheds light on how to distinguish between risk- and mispricing-based anomalies.

Suggested Citation

  • Qi Liu & Lei Lu & Bo Sun & Hongjun Yan, 2015. "A Model of Anomaly Discovery," International Finance Discussion Papers 1128, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgif:1128
    DOI: 10.17016/IFDP.2015.1128
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    File URL: http://dx.doi.org/10.17016/IFDP.2015.1128
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    References listed on IDEAS

    as
    1. Schwert, G. William, 2003. "Anomalies and market efficiency," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.),Handbook of the Economics of Finance, edition 1, volume 1, chapter 15, pages 939-974, Elsevier.
    2. Dow, James & Gorton, Gary, 1994. "Arbitrage Chains," Journal of Finance, American Finance Association, vol. 49(3), pages 819-849, July.
    3. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2012. "The short of it: Investor sentiment and anomalies," Journal of Financial Economics, Elsevier, vol. 104(2), pages 288-302.
    4. Péter Kondor, 2009. "Risk in Dynamic Arbitrage: The Price Effects of Convergence Trading," Journal of Finance, American Finance Association, vol. 64(2), pages 631-655, April.
    5. Michael J. Cooper & Huseyin Gulen & Michael J. Schill, 2008. "Asset Growth and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 63(4), pages 1609-1651, August.
    6. Péter Kondor & Dimitri Vayanos, 2019. "Liquidity Risk and the Dynamics of Arbitrage Capital," Journal of Finance, American Finance Association, vol. 74(3), pages 1139-1173, June.
    7. Robert F. Stambaugh & Jianfeng Yu & Yu Yuan, 2015. "Arbitrage Asymmetry and the Idiosyncratic Volatility Puzzle," Journal of Finance, American Finance Association, vol. 70(5), pages 1903-1948, October.
    8. Brennan, Michael J & Xia, Yihong, 2001. "Assessing Asset Pricing Anomalies," Review of Financial Studies, Society for Financial Studies, vol. 14(4), pages 905-942.
    9. repec:hrv:faseco:30721347 is not listed on IDEAS
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    Cited by:

    1. Andrew Y. Chen & Thomas Zimmermann, 2018. "Publication Bias and the Cross-Section of Stock Returns," Finance and Economics Discussion Series 2018-033, Board of Governors of the Federal Reserve System (U.S.).

    More about this item

    Keywords

    Anomaly; Arbitrage; Discovery; Arbitrageur-based asset pricing;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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