We propose a unified set of distance-based performance metrics that address the power and extreme-error problems inherent in traditional measures for asset-pricing tests. From a Bayesian perspective, the distance metrics coherently incorporate both pricing errors and their standard errors....

We find that single-name options trading increases the absolute level of information content of prices (stock price informativeness). We confirm our results through instrumental variable approach to control for potential endogeneity. We further show causality by using a difference-in-difference...

We develop a methodology for bias-corrected return-premium estimation from cross-sectional regressions of individual stock returns on betas and firm characteristics. Over the period 1963-2014, there is some evidence of a negative premium on the size factor and positive beta premiums for the...

Our paper reexamines the forecasting regressions which predict annual aggregate stock market returns net of the risk-free rate with lagged aggregate dividend-yield ratios and dividend-price ratios. Prior to 1990, the conditional dividend yield could reliably outperform the historical equity...