We study whether option-implied conditional expectation of market loss due to tail events, or tail loss measure, contains information about future returns, especially the negative ones. Our tail loss measure predicts future market returns, magnitude, and probability of the market crashes, beyond...

We derive generalized bounds on conditional expected excess returns. The bounds deliver consistent expected returns for individual and index-type assets, are conditionally tight, account for all risk-neutral moments of returns, and outperform runner-up models for out-of-sample predictions....

Implied correlation, jointly extracted from index and stock options, is a robust predictor of long-term market returns. We document that its predictive power stems from its role as a leading procyclical state variable, predicting future investment opportunities, that is, financial-market risks...

We develop a dynamic general-equilibrium framework with multiple households and multiple risky assets to explain how less- and more-sophisticated households differ in their portfolio and wealth dynamics. Differences in sophistication are modeled via heterogeneous confidence about asset returns,...

Many asset pricing theories treat the cross-section of returns volatility and correlations as two intimately related quantities driven by common factors, which hinders achieving a neat definition of a correlation premium. We formulate a model without factors, but with a continuum of securities...