We propose a class of discrete-time stochastic volatility models that, in a parsimonious way, capture the time-varying higher moments observed in financial series. Three desirable results are obtained. First, we have a recursive procedure for the log-price characteristic function which allows a semi-analytical formula for option prices as in Heston and Nandi. Second, we reproduce some features of the VIX Index. Finally, we derive a simple formula for the VIX index and use it for option pricing

VIX computation based on affine stochastic volatility models in discrete time

RROJI, EDIT
2018-01-01

Abstract

We propose a class of discrete-time stochastic volatility models that, in a parsimonious way, capture the time-varying higher moments observed in financial series. Three desirable results are obtained. First, we have a recursive procedure for the log-price characteristic function which allows a semi-analytical formula for option prices as in Heston and Nandi. Second, we reproduce some features of the VIX Index. Finally, we derive a simple formula for the VIX index and use it for option pricing
2018
International Series in Operations Research and Management Science
978-3-319-61318-5
Affine stochastic volatility; Implied volatility surface; VIX; Software; Computer Science Applications1707 Computer Vision and Pattern Recognition; Strategy and Management1409 Tourism; Leisure and Hospitality Management; Management Science and Operations Research; Applied Mathematics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1068235
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