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Option Valuation with Conditional Heteroskedasticity and Non-Normality
Author(s) -
Peter Christoffersen,
Redouane Elkamhi,
Bruno Feunou,
Kris Jacobs
Publication year - 2009
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.961512
Subject(s) - heteroscedasticity , econometrics , valuation (finance) , normality , actuarial science , economics , autoregressive conditional heteroskedasticity , statistics , mathematics , financial economics , volatility (finance) , accounting
We provide results for the valuation of European style contingent claims for a large class of speci…cations of the underlying asset returns. Our valuation results obtain in a discrete time, in…nite state-space setup using the no-arbitrage principle and an equivalent martingale measure. Our approach allows for general forms of heteroskedasticity in returns, and valuation results for homoskedastic processes can be obtained as a special case. It also allows for conditional non-normal return innovations, which is critically important because heteroskedasticity alone does not su¢ ce to capture the option smirk. We analyze a class of equivalent martingale measures for which the resulting risk-neutral return dynamics are from the same family of distributions as the physical return dynamics. In this case, our framework nests the valuation results obtained by Duan (1995) and Heston and Nandi (2000) by allowing for a time-varying price of risk and non-normal innovations. We provide extensions of these results to more general equivalent martingale measures and to discrete time stochastic volatility models, and we analyze the relation between our results and those obtained for continuous time models.

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