We investigate the effect of including variance derivatives as calibration and hedging instruments for pricing and hedging exotic structures. This is studied empirically using market data for SPX and VIX derivatives applied in a stochastic volatility jump diffusion model

Asymmetric volatility concerns the relation of returns to future expected volatility. Much is known from option prices about the marginal risk-neutral distributions of S&P 500 returns and of relative changes in future expected volatility (VIX). While the bivariate risk-neutral distribution...

Risk premia are related to price probability ratios or for continuous time pure jump processes the ratios of jump arrival rates under the pricing and physical measures. The variance gamma model is employed to synthesize densities with risk premia seen as the ratio of the three parameters. The...

We investigate the effects of return jumps on option bid-ask spreads measured in implied volatility. To explain bid-ask spread quoting behavior, we construct a general model with market makers trading in an incomplete market in which a Bernoulli-type jump could occur. Following a numerical...

We propose a parsimonious general equilibrium extension of the Black-Scholes economy that helps clarify how options' prices, expected returns, risk exposure, and optimal exercise policies respond to variations in the risk exposure of the underlying asset. The model allows one to separate the...

This paper presents a new robust predictor for option returns: the uncertainty of put-call parity violation (VVS). We find that the delta-hedged equity option return decreases monotonically with VVS. Although VVS is highly correlated with the classical uncertainty and limit-to-arbitrage...

Option prices embed predictive content for the outcomes of pending mergers and acquisitions. This is particularly important in merger arbitrage, where deal failure is a key risk. In this paper, I propose a dynamic asset pricing model that exploits the joint information in target stock and option...

Option prices embed predictive content for the outcomes of pending mergers and acquisitions. This is particularly important in merger arbitrage, where deal failure is a key risk. In this paper, I propose a dynamic asset pricing model that exploits the joint information in target stock and option...

This paper compares two approaches to options: (1) Risk-Aware Approach, and (2) Risk-Neutral Approach. The risk-aware approach requires a probabilistic specification of the underlying’s returns, addressing higher than second moments, as hedging errors are singularly dependent on the excess...

We propose a new measure of financial intermediary constraints based on how the intermediaries manage their tail risk exposures. Using a unique dataset for the trading activities in the market of deep out-of-the-money S&P 500 put options, we identify periods when the variations in the net amount...