
Following a trend of sustained and accelerated growth, the VIX futures and options market has become a closely followed, active and liquid market. The standard stochastic volatility models—which focus on the modeling of instantaneous variance—are unable to fit the entire term structure of VIX futures as well as the entire VIX options surface. In contrast, we propose to model directly the VIX index, in a mean-reverting local volatility-of-volatility model, which will provide a global fit to the VIX market. We then show how to construct the local volatility-of-volatility surface by adapting the ideas in Carr (Local variance gamma. Bloomberg Quant Research, New York, 2008) and Andreasen and Huge (Risk Mag 76–79, 2011) to a mean-reverting process.
Stochastic models in economics, 10003 Department of Finance, 2001 Economics, Econometrics and Finance (miscellaneous), Applications of stochastic analysis (to PDEs, etc.), Microeconomic theory (price theory and economic markets), volatility derivatives, VIX futures, 330 Economics, Derivative securities (option pricing, hedging, etc.), volatility of volatility, 2003 Finance, VIX options, Statistical methods; economic indices and measures, Interest rates, asset pricing, etc. (stochastic models), Statistical methods; risk measures
Stochastic models in economics, 10003 Department of Finance, 2001 Economics, Econometrics and Finance (miscellaneous), Applications of stochastic analysis (to PDEs, etc.), Microeconomic theory (price theory and economic markets), volatility derivatives, VIX futures, 330 Economics, Derivative securities (option pricing, hedging, etc.), volatility of volatility, 2003 Finance, VIX options, Statistical methods; economic indices and measures, Interest rates, asset pricing, etc. (stochastic models), Statistical methods; risk measures
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