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...

Assuming that risk premiums are determined by failure risk, we present a stylized model of interactions among risk-proxy variables, external financing, and stock returns in which a common mispricing factor, involving operating profit and external financing, drives the following five asset...

We propose a novel approach to model investors' uncertainty using the conditional volatility of investors' sentiment. Working with weekly data on investor sentiment, six major U.S. stock indices, and alternative measures of uncertainty, we run various tests to validate our proposed measure. The...

Preqin and Pitchbook data are classified and analyzed to derive a coherent set of risk-return assumptions to combine with Listed liquid assets in a traditional mean-variance framework. We find expected returns of 11%-12% for PE and 8% for PD, PC detailed per subclass. Risk is decomposed in Class...

The joint-hypothesis problem casts doubt on the results of market efficiency research. Specifically, it is hard to assess to what extent financial markets reflect economic fundamentals or mispricing. To address this issue, we study price formation in a large virtual asset market where...