This online appendix provides additional results in support of the analysis presented in the above-mentioned paper. First, we provide details on how we simulate from the posterior and predictive distributions for both the uniform and shrinkage prior. Second, we explain the numerical method we...

We develop a method to identify the most important predictors of long-term asset returns and use it to analyze the impact of model uncertainty on long-term investors. We find that the impact of model uncertainty changes a lot over time which leads to considerable time-variation in all moments of...

We construct a panel data model to explain the cross-section of individual stock returns, using monthly data for 1,880 large US firms for 1985-2005. Model specification is geared towards multiple explanatory variables, poolability across industries, alternative forecast horizons, and the effects...

Based on unique data we show that macro variables, the default rate and loss given default of bank loans share common cyclical components. The innovation in our model is the distinction between loans with either severe or mild losses. The variation in the proportion of these two types drives the...

We evaluate the out-of-sample performance of a long-term investor who follows an optimized dynamic trading strategy. Although the dynamic strategy is able to benefit from predictability out-of-sample, a short-term investor using a single period market timing strategy would have realized an...