Affiliation:
1. Booth School of Business, The University of Chicago
2. The Wharton School, University of Pennsylvania
Abstract
Abstract
What distribution best characterizes the time series and cross-section of individual stock returns? To answer this question, we estimate the degree of cross-sectional return skewness relative to a benchmark that nests many models considered in the literature. We find that cross-sectional skewness in monthly returns far exceeds what this benchmark model predicts. However, cross-sectional skewness in long-run returns in the data is substantially below what the model predicts. We show that fat-tailed idiosyncratic events appear to be necessary to explain skewness in the data. (JEL, G10, G11, G12, G13, G14).
Received January 12 2020; editorial decision July 21 2021 by by Editor Hui Chen.
Publisher
Oxford University Press (OUP)
Subject
Economics and Econometrics,Finance
Cited by
2 articles.
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