We develop a Bayesian approach for parsimoniously estimating the correlation structure of the errors in a multivariate stochastic volatility model. Since the number of parameters in the joint correlation matrix of the return and volatility errors is potentially very large, we impose a prior that...

Researchers typically employ cross-sectional regression methods to identify firm-level characteristics that help to explain the cross-section of average stock returns. I develop a straightforward approach for testing whether the coefficient estimates produced by these methods satisfy the pricing...

Theory suggests a relationship between both volatility of volatility, variance risk premium, and the equity risk premium. We empirically investigate the relationship between volatility of volatility and the equity risk premium, and the relationship between the variance risk premium and the...