We propose a new method, VASA, based on variable subsample aggregation of model predictions for equity returns using a large-dimensional set of factors. To demonstrate the effectiveness, robustness, and dimension reduction power of VASA, we perform a comparative analysis between state-of-the-art...

We jointly explain the variations of the equity and value premium in a model with both short-run (SRR) and long-run (LRR) consumption risk. In our preliminary empirical analysis, we find that SRR varies with the business cycle and it has a substantial predictive power for market excess returns...

The classical version of the Fundamental Theorem of Asset Pricing requires that zero-sets of the real-world probability measure P are known. We chose a different route and start from a possibly non-dominated set of probability measures P representing uncertainty about the zero-sets of the real...