Prospect Theory and Stock Market Anomalies

Nicholas Barberis, Lawrence J. Jin, BAOLIAN WANGFinance资产定价UTD24

Journal of Finance2021-06-05California Institute of Technology; Princeton University; University of Miami; London Business School; University of Notre DameDOI

Citations160

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.

EconomicsSkewnessCapital asset pricing modelFinancial economicsEconometricsStock marketVolatility (finance)Prospect theoryExpected returnStock (firearms)FinanceGeography