We investigate how individual equity prices respond to continuous and jumpy market price moves and how these different market price risks, or betas, are priced in the cross section of expected stock returns. Based on a novel high-frequency data set of almost one thousand stocks over two decades,...

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,...

This research applies findings from the field of factor investing to address the question of what drives private equity deal returns. I provide empirical evidence that the most comprehensively documented factor anomalies have explanatory power of cross sectional variations in returns of private...

Three concepts: stochastic discount factors, multi-beta pricing and mean-variance efficiency, are at the core of modern empirical asset pricing. This chapter reviews these paradigms and the relations among them, concentrating on conditional asset-pricing models where lagged variables serve as...

Identifying firms linked economically through the comovement of the credit rating of their corporate bonds, we find that a long-short strategy for stocks based on the link generates a risk-adjusted alpha of 0.62 percent per month, which cannot be explained by industry, customer-supplier, single-...

We apply advances in analysis of mix frequency and sparse data to estimate "unsmoothed" private equity (PE) Net Asset Values (NAVs) at the weekly frequency for individual funds. Using simulations and a large sample of buyout and venture funds, we show that our method yields superior estimates of...