Option Valuation with Conditional Heteroskedasticity and Nonnormality
成果类型:
Article
署名作者:
Christoffersen, Peter; Elkamhi, Redouane; Feunou, Bruno; Jacobs, Kris
署名单位:
McGill University; University of Iowa; Duke University; University of Houston System; University of Houston; Tilburg University
刊物名称:
REVIEW OF FINANCIAL STUDIES
ISSN/ISSBN:
0893-9454
DOI:
10.1093/rfs/hhp078
发表日期:
2010
页码:
2139
关键词:
stochastic volatility
risk premia
DISCRETE-TIME
bounds
variance
MODEL
ARCH
specification
jump
arbitrage
摘要:
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 martingale measure (EMM). 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 nonnormal return innovations, which is critically important because heteroskedasticity alone does not suffice to capture the option smirk. We analyze a class of EMMs 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 nonnormal innovations. We provide extensions of these results to more general EMMs 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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