This paper decomposes the risk premia of individual stocks into contributions from systematic and idiosyncratic risks. I introduce an affine jump-diffusion model, which accounts for both the factor structure of asset returns and that of the variance of idiosyncratic returns. The estimation is...

We study the real-time characteristics and drivers of jumps in option prices. To this end, we employ high frequency data from the 24-hour E-mini S&P 500 options market. We find that option prices do not jump simultaneously across strikes and maturities and are uncorrelated with jumps in the...

We document that a theoretically founded, real-time, and easy-to-implement option-based measure, termed synthetic-stock difference (SSD), accurately estimates the part of stock's expected return arising from stock's transaction costs. We calculate SSD for U.S. optionable stocks. SSD can be more...

This is the first paper to calculate and analyze option-implied dividends for individual US companies, while accounting for the early exercise premium. These firm-level implied dividends show substantial variation relative to actual dividends over time as well as in the cross-section. Implied...

While empirical literature has documented a negative relation between default risk and stock returns, the theory suggests that default risk should be positively priced. We provide an explanation for this "default anomaly", by calculating monthly probabilities of default (PDs) for a large sample...

Because of risk aversion, any sensible investment valuation system should value less Projects that contribute more to the aggregate risk, i.e., that have a larger income elasticity of net benefits. In theory, this is done by adjusting discount rates to consumption betas. But in reality, for...

We explore whether the market variance risk premium (VRP) can be predicted. First, we propose a novel approach to measure VRP which distinguishes the investment horizon from the variance swap's maturity. We extract VRP from actual rather than synthetic S&P 500 variance swap quotes, thus avoiding...