We provide theoretical and empirical arguments in favor of a diminishing marginal premium for market risk. In capital market equilibrium with binding portfolio restrictions, investors with different risk aversion levels generally hold different sets of risky securities. Whereas the traditional...

Industry classification groups firms into finer partitions to help investments and empirical analysis. To overcome the well-documented limitations of existing industry definitions, like their stale nature and coarse categories for firms with multiple operations, we employ a clustering approach...

According to the rare disaster hypothesis, the extraordinary mean excess returns on U.S. equity portfolios during the postwar period resulted because investors ex ante demanded a compensation for possibly disastrous but very unlikely risks that they ex post did not incur. Empirical tests of the...

We evaluate whether machine learning methods can better model excess portfolio returns compared to the standard regression-based strategies generally used in the finance and econometric literature. We examine 17 benchmark factor model specifications based on Expected Utility Theory and theory...

We propose a simulation-based strategy to estimate and empirically assess a class of asset pricing models that account for rare but severe consumption contractions that can extend over multiple periods. Our approach expands the scope of prevalent calibration studies and tackles the inherent...

Cross-predictability denotes the fact that some assets can predict other assets' returns. I propose a novel performance-based measure that disentangles the economic value of cross-predictability into two components: the predictive power of one asset's signal for other assets' returns...

Firms that score low on environmental, social, and governance (ESG) indicators exhibit higher expected returns. This negative ESG premium might be driven by higher risk associated with low ESG scores, or it could signal investors' preferences for firms with high ESG scores. The first driver...