We build a new class of discrete time models where the distribution of daily returns is driven by two factors: dynamic volatility and dynamic jump intensity. Each factor has its own risk premium. The likelihood function for the models is available using analytical filtering, which makes them...

This paper presents a new model for the valuation of European options, in which the volatility of returns consists of two components. One of these components is a long-run component, and it can be modeled as fully persistent. The other component is short-run and has a zero mean. Our model can be...

We study implications of asymmetries in both preferences and fundamentals for put option demand across investors and the resulting market behavior. A heterogenous-agent model populated by investors with asymmetric preferences alongside standard risk-averse agents rationalizes the size and the...

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...

We present a new discrete-time GARCH jump framework that allows for rich dynamics in higher moments by combining heteroskedastic processes with fat-tailed innovations in returns and volatility. We provide a tractable risk neutralization framework allowing for option valuation with separate...