Option Valuation with Conditional Heteroskedasticity and Non-Normality
University of Toronto - Rotman School of Management; Copenhagen Business School; University of Aarhus - CREATES
University of Iowa - Henry B. Tippie College of Business
Bank of Canada
University of Houston - C.T. Bauer College of Business
June 2, 2009
We provide results for the valuation of European style contingent claims for a large class of specifications of the underlying asset returns. Our valuation results obtain in a discrete time, infinite state-space setup using the no-arbitrage principle and an equivalent martin-gale 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 suffice 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.
Number of Pages in PDF File: 52
Keywords: GARCH, risk-neutral valuation, no-arbitrage, non-normal innovations
JEL Classification: G12working papers series
Date posted: August 13, 2009
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