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

Hitaj A.
Primo
Methodology
;
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 (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.
2018
2018
International Series in Operations Research and Management Science
257
141
164
24
Springer New York LLC
978-3-319-61318-5
978-3-319-61320-8
Inglese
Affine stochastic volatility; Implied volatility surface; VIX
no
Hitaj, A.; Mercuri, L.; Rroji, E.
268
none
Contributo specifico in volume::Capitolo di Libro
info:eu-repo/semantics/bookPart
3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2097273
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