The Conditional CAPM Revisited: Evidence from High-Frequency Betas
Management Science, Forthcoming
52 Pages Posted: 25 Mar 2019 Last revised: 29 Jul 2019
Date Written: February 14, 2019
When using high-frequency data, the conditional CAPM can explain asset-pricing anomalies. Using conditional betas based on daily data, the model works reasonably well for a recent sample period. However, it fails to explain the size anomaly as well as 3 out of 6 of the anomaly component excess returns. Using high-frequency betas, the conditional CAPM is able to explain the size, value, and momentum anomalies. We further show that high-frequency betas provide more accurate predictions of future betas than those based on daily data. This result holds for both the time-series and the cross-sectional dimensions.
Keywords: Beta estimation, conditional CAPM, high-frequency data
JEL Classification: G11, G12, C58
Suggested Citation: Suggested Citation