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What explains the dynamics of 100 anomalies?

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  • Jacobs, Heiko

Abstract

Are anomalies strongest when investor sentiment or limits of arbitrage are considered to be greatest? We empirically explore these theoretically deducted predictions. We first identify, categorize, and replicate 100 long-short anomalies in the cross-section of expected equity returns. We then comprehensively study their interaction with popular proxies for time-varying market-level sentiment and arbitrage conditions. We find a powerful (relatively weak) role of the variation in proxies for sentiment (arbitrage constraints). In this context, the predictive power of sentiment is mostly restricted to the short leg of strategy returns. Our insights collectively suggest that the dynamics of sentiment combined with the base level (and not primarily the variations) of limits to arbitrage provide at least a partial explanation for inefficiencies.

Suggested Citation

  • Jacobs, Heiko, 2015. "What explains the dynamics of 100 anomalies?," Journal of Banking & Finance, Elsevier, vol. 57(C), pages 65-85.
  • Handle: RePEc:eee:jbfina:v:57:y:2015:i:c:p:65-85
    DOI: 10.1016/j.jbankfin.2015.03.006
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    17. Simlai, Prodosh E., 2016. "Time-varying risk, mispricing attributes, and the accrual premium," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 150-161.

    More about this item

    Keywords

    Anomalies; Limits to arbitrage; Sentiment; Return predictability; Behavioral finance;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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