• Skip to main content
  • Skip to footer

OptionMetrics

search
  • About Us
    • Who We Serve
    • Why OptionMetrics
    • Leadership
  • Data Products
    • Equities
      • United States
      • Europe
      • Asia
      • Canada
      • ETFs
    • Futures
    • Signed Volume
    • Implied Beta
    • Dividend
      • Implied Dividend
      • Dividend Forecasting
  • Research
  • Blog
  • News & Events
  • Careers
  • Contact

N. Barberis, L. Jin, B. Wang: Prospect Theory and Stock Market Anomalies

October 29, 2019

We present a new model of asset prices in which investors evaluate risk according to prospect theory and examine its ability to explain 22 prominent stock market anomalies. The model incorporates all the elements of prospect theory, takes account of investors’ prior gains and losses, and makes quantitative predictions about an asset’s average return based on empirical estimates of its beta, volatility, skewness, and capital gain overhang. We find that the model is helpful for thinking about a majority of the anomalies we consider.

Download

Share this post:
  • Facebook
  • Pinterest
  • Twitter
  • Linkedin
OptionMetrics Logo
  • About Us
  • Who We Serve
  • Why OptionMetrics
  • Leadership
  • Data Products
  • Equities
  • Futures
  • Signed Volume
  • Implied Beta
  • Dividend Forecasting
  • Research
  • Blog
  • News & Events
  • Careers
  • Contact Us
  • Support Request
Stay Connected

dashicons-linkedin dashicons-twitter dashicons-facebook-alt

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply

© 2025 OptionMetrics, LLC. All Rights Reserved. | Privacy Policy | Terms of Use | Accessibility | Site Map