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 (Rev Financ Stud 13(3):585–625, 2000). 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 / A. Hitaj, L. Mercuri, R. Edit (INTERNATIONAL SERIES IN OPERATIONS RESEARCH & MANAGEMENT SCIENCE). - In: Handbook of Recent Advances in Commodity and Financial Modeling : Quantitative Methods in Banking, Finance, Insurance, Energy and Commodity Markets / [a cura di] G. Consigli, S. Stefani, G. Zambruno. - Prima edizione. - [s.l] : Springer, 2018. - ISBN 9783319613185. - pp. 141-164 [10.1007/978-3-319-61320-8_7]
VIX computation based on affine stochastic volatility models in discrete time
L. MercuriSecondo
;
2018
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 (Rev Financ Stud 13(3):585–625, 2000). 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.File | Dimensione | Formato | |
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