Abstract
I test the predictions of a new asset pricing model about the interaction of return skewness and analysts' forecast dispersion. Consistent with the theory's implications, I present evidence that skewness and forecast dispersion have a joint impact, yielding an average return gap of 1.61% monthly (19.3% annualized) between stocks in the 5th and 95th percentiles by skewness and dispersion. I also show that forecast dispersion has no marginal impact without skewness and that higher risk or risk aversion is associated with a deepening of their joint effect. These otherwise anomalous discoveries comprise new significant cross-sectional features of stock returns.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
