Standard empirical investigations of jump dynamics in returns and volatility are fairly complicated due to the presence of latent continuous-time factors. We present a new discrete-time framework that combines heteroskedastic processes with rich specifications of jumps in returns and volatility....

We survey the theory and empirical evidence on GARCH option valuation models. Our treatment includes the range of functional forms available for the volatility dynamic, multifactor models, nonnormal shock distributions as well as style of pricing kernels typically used. Various strategies for...

Using index options and returns from 1996 to 2009, I estimate discrete-time models where asset returns follow a Brownian increment and a Lévy jump. Time variations in these models are generated with an affine GARCH, which facilitates the empirical implementation. I find that the risk premium...

We build a new class of discrete-time models that are relatively easy to estimate using returns and/or options. The distribution of returns is driven by two factors: dynamic volatility and dynamic jump intensity. Each factor has its own risk premium. The models significantly outperform standard...

We study the determinants of options illiquidity measured with relative bid-ask spreads of intraday transactions for S&P 500 firms over an extended time period. We find that market makers' hedging costs significantly impact options illiquidity with the future rebalancing cost dominating the...

There is widespread agreement that corporate debts' recovery rates are time-varying, but empirical work in this area is limited. We show that the joint information from the term structure of senior and subordinate credit default swaps can identify the level and the dynamics of recovery rates. We...

We show that firms gain visibility and shareholder base through disclosing supply-chain relationships with large and well-known trading partners in their SEC filings. Using a novel research design that focuses on the investor recognition effect of disclosures, we find a significant improvement...