Researchers and practitioners face many choices when estimating an asset's sensitivities toward risk factors, i.e., betas. Using the entire U.S. stock universe and a sample period of more than 50 years, we find that a historical estimator based on daily return data with an exponential weighting...

In recent years, commodity markets have become increasingly popular among financial investors. In contrast to traditional markets such as equities or bonds for which many studies have identified various profitable investment strategies, less is known for commodity markets. In this paper, we...

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...

We introduce a novel composite probability distortion (CPD) score based on investors’ stock valuations derived from a pure-probability-weighting version of cumulative prospect theory and from salience theory. This measure is strongly and consistently priced in the cross-section of...