Do Cross-Sectional Predictors Contain Systematic Information?
2022; Cambridge University Press; Volume: 58; Issue: 3 Linguagem: Inglês
10.1017/s0022109022000266
ISSN1756-6916
AutoresJoseph Engelberg, R. David McLean, Jeffrey Pontiff, Matthew C. Ringgenberg,
Tópico(s)Corporate Finance and Governance
ResumoAbstract Firm-level variables that predict cross-sectional stock returns, such as price-to-earnings and short interest, are often averaged and used to predict market returns. Using various samples of cross-sectional predictors and accounting for the number of predictors and their interdependence, we find only weak evidence that cross-sectional predictors make good time-series predictors, especially out-of-sample. The results suggest that cross-sectional predictors do not generally contain systematic information.
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