It is argued that the growth in the breadth of option strikes traded after the financial crisis of 2008 poses difficulties for the use of Fourier inversion methodologies in volatility surface calibration. Continuous time Markov chain approximations are proposed as an alternative. They are shown...

Variance premium is studied under a discrete-time consumption-based equilibrium model, with two stochastic volatility factors. The formulas for VIX and variance premium term structure are derived. As an empirical application of the model, the predicion power of VIX and variance premium term...

We use simultaneous data from equity, index and option markets in order to estimate a single-factor market model in which idiosyncratic volatility is allowed to be priced. We model the index dynamics' physical distribution as a mean-reverting stochastic volatility process as in Heston (1993),...

We model the S&P500 index options dynamics using the CGMY distribution, with independent "up" and "down" return jumps, and diffusive jump intensities. Allowing the up and down parts to be separately parameterised accounts for the dynamic smirk effect, without correlation between returns and...

We develop an equilibrium pricing model aimed at explaining observed characteristics in equity returns, VIX futures and VIX options data. To derive our model we first specify a general framework based on affine jump-diffusive state-dynamics and representative agent endowed with Duffie-Epstein...

We contrast two different asset pricing models, where the pricing kernel either (i) increases in the volatility dimension, reflecting investors' aversion to volatility, or (ii) could be non-monotonic in volatility, reflecting heterogeneity in investors' beliefs. The two models yield opposite...

In this paper we introduce a discrete time pricing model for a European call option when the log-return of the underlying stock (asset) is subject to discontinuous market regime type of shifts in its mean or volatility whose risk can be priced in the market. The paper shows how to estimate this...

We derive a model-free option-based formula to estimate the contribution of market frictions to expected returns (CFER) within an asset pricing setting. We estimate CFER for the U.S. optionable stocks. We document that CFER is sizable, it predicts stock returns and it subsumes the effect of...