Moment Explosions and Long-Term Behavior of Affine Stochastic Volatility Models
Martin Keller-Ressel

TL;DR
This paper analyzes affine stochastic volatility models, providing conditions for their stability, long-term behavior, and moment explosions, with applications to implied volatility and specific models like Heston.
Contribution
It offers new explicit conditions for model stability, long-term distribution, and moment explosion times in affine stochastic volatility models.
Findings
Derived conditions for model conservativeness and martingale property.
Explicit formulas for the invariant distribution of stochastic variance.
Expressions for the timing of moment explosions in the models.
Abstract
We consider a class of asset pricing models, where the risk-neutral joint process of log-price and its stochastic variance is an affine process in the sense of Duffie, Filipovic and Schachermayer [2003]. First we obtain conditions for the price process to be conservative and a martingale. Then we present some results on the long-term behavior of the model, including an expression for the invariant distribution of the stochastic variance process. We study moment explosions of the price process, and provide explicit expressions for the time at which a moment of given order becomes infinite. We discuss applications of these results, in particular to the asymptotics of the implied volatility smile, and conclude with some calculations for the Heston model, a model of Bates and the Barndorff-Nielsen-Shephard model.
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Insurance, Mortality, Demography, Risk Management
