This paper reviews the literature on Bayesian portfolio analysis. Information about events, macro conditions, asset pricing theories, and security-driving forces can serve as useful priors in selecting optimal portfolios. Moreover, parameter uncertainty and model uncertainty are practical...

This paper proposes a structural approach to long-horizon asset allocation. In particular, the investor draws inferences about asset returns from a vector autoregression (VAR) with economic restrictions on the intercept, slope, and covariance matrix implied by the long-run risk model of Bansal...

This paper develops a unified approach to comprehensively analyse individual hedge fund return predictability, both in- and out-of-sample. In-sample, we find that variation in hedge fund performance across changing market conditions is widespread and economically significant. The predictability...

Past work suggests that momentum is among the most robust market anomalies, as well as momentum profitability concentrates in firms with high information uncertainty and high credit risk. This paper shows that such momentum concentrations naturally emerge in an equilibrium setting with...

This paper provides new evidence on the empirical success of structural models in explaining corporate credit risk changes. A parsimonious set of common factors and firm-level fundamentals, inspired by structural models, explains more than 54% (67%) of the variation in credit spread changes for...

This paper analyzes the performance of portfolio strategies that invest in no-load, open-end U.S. domestic equity mutual funds, incorporating predictability in (i) manager skills, (ii) fund risk-loadings, and (iii) benchmark returns. Predictability in manager skills is found to be the dominant...

New evidence is reported on the empirical success of structural models in explaining changes in corporate credit risk. A parsimonious set of common factors and company-level fundamentals, inspired by structural models, was found to explain more than 54 percent (67 percent) of the variation in...

This paper analyzes the performance of portfolio strategies that invest in no-load, open-end U.S.; domestic equity mutual funds, incorporating predictability in (i) manager skills, (ii) fund risk-loadings, and (iii) benchmark returns. Predictability in manager skills is found to be the dominant...

We use Bayesian model averaging to analyze the sample evidence on return predictability in the presence of model uncertainty. The analysis reveals in-sample and out-of-sample predictability, and shows that the out-of-sample performance of the Bayesian approach is superior to that of model...

This paper develops and implements an exact finite-sample test of asset pricing models with time varying risk premia using posterior probabilities. The strength of our approach is that it allows multiple conditional asset pricing specifications, both nested and non-nested, to be tested and...