Cost-of-capital assessments with factor models require quantitative forward- looking estimates. We recommend estimating Vasicek-shrunk betas with one to four years of daily stock returns, and then — because the underlying betas are themselves time-varying — shrinking betas a second time (and...

My paper proposes a robust and easy-to-implement one-pass beta estimator: Justified by the market-model itself, daily stock returns are first winsorized at –2 and +4 times the contemporaneous market return. The resulting “slope- winsorized” betas outpredict all other prominent estimators,...

We review the theory and evidence on IPO activity: why firms go public, why they reward first-day investors with considerable underpricing, and how IPOs perform in the long run. Our perspective on the literature is three-fold: First, we believe that many IPO phenomena are not stationary. Second,...

Our paper suggests a simple recursive residuals (out-of-sample) graphical approach to evaluating the predictive power of popular equity premium and stock market time-series forecasting regressions. When applied, we find that dividend-ratios should have been known to have no predictive ability...

This paper proposes a robust one-pass estimator that is easy to code: Justified by the market-model itself and using a prior that market-betas should not be less than –2 and more than +4, the market-model is run on daily stock rates of return that have first been winsorized at –2 and +4...

Our article comprehensively reexamines the performance of variables that have been suggested by the academic literature to be good predictors of the equity premium. We find that by and large, these models have predicted poorly both in-sample (IS) and out-of-sample (OOS) for 30 years now; these...

This paper models how imperfect memory affects the optimal continuity of policies. We examine the choices of a player (individual or firm) who observes previous actions but cannot remember the rationale for these actions. In a stable environment, the player optimally responds to memory loss with...

An information cascade is a situation in which an agent who observes others chooses the same action irrespective of the value of the agent's private information signal. Theoretical models have found that cascades result in poor information aggregation, inaccurate decisions, and fragility of mass...