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Prospect Theory and Stock Market Anomalies

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  • NICHOLAS BARBERIS
  • LAWRENCE J. JIN
  • BAOLIAN WANG

Abstract

We present a new model of asset prices in which investors evaluate risk according to prospect theory and examine its ability to explain 23 prominent stock market anomalies. The model incorporates all of the elements of prospect theory, accounts for investors' prior gains and losses, and makes quantitative predictions about an asset's average return based on empirical estimates of the asset's return volatility, return skewness, and past capital gain. We find that the model can help explain a majority of the 23 anomalies.

Suggested Citation

  • Nicholas Barberis & Lawrence J. Jin & Baolian Wang, 2021. "Prospect Theory and Stock Market Anomalies," Journal of Finance, American Finance Association, vol. 76(5), pages 2639-2687, October.
  • Handle: RePEc:bla:jfinan:v:76:y:2021:i:5:p:2639-2687
    DOI: 10.1111/jofi.13061
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