Risk proxies such as beta, volatility or standard deviation are conventionally measured assuming that investors have symmetric risk preferences, with upside and downside deviations from the expectation being equivalently undesirable. Responsible investors, however, have the dual aims of...

Researchers and practitioners face many choices when estimating an asset's sensitivities toward risk factors, i.e., betas. We study the effect of different data sampling frequencies, forecast adjustments, and model combinations for beta estimation. Using the entire U.S. stock universe and a...

We study the term structure of variance (total risk), systematic and idiosyncratic risk. Consistent with the expectations hypothesis, we find that, for the entire market, the slope of the term structure of variance is mainly informative about the path of future variance. Thus, there is little...

Researchers and practitioners employ a variety of time-series processes to forecast betas, using either short-memory models or implicitly imposing infinite memory. We find that both approaches are inadequate: beta factors show consistent long-memory properties. For the vast majority of stocks,...

In this study, we comprehensively examine the volatility term structures in commodity markets. We model state-dependent spillovers in principal components (PCs) of the volatility term structures of different commodities, as well as that of the equity market. We detect strong economic links and a...

We investigate the impact of product market competition on firms' systematic risk. Using a measure of total product market similarity, we document a strong negative link between market power and market betas. There is a more than threefold increase in the effect during the most recent...

We investigate the impact of product market competition on firms’ systematic risk. Using a measure of total product market similarity, we document a strong negative link between market power and market betas. There is a more than threefold increase in the effect during the most recent...