This paper discusses the commonly used methods for testing option pricing models, including the Black-Scholes, constant elasticity of variance, stochastic volatility, and jump-diffusion models. Since options are derivative assets, the central empirical issue is whether the distributions implicit in option prices are consistent with the time series properties of the underlying asset prices. Three relevant aspects of consistency are discussed, corresponding to whether time series-based inferences and option prices agree with respect to volatility, changes in volatility, and higher moments. The paper surveys the extensive empirical literature on stock options, options on stock indexes and stock index futures, and options on currencies and currency futures.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
5129.
Length: Date of creation: May 1995 Date of revision: Publication status: published as in G.S. Maddale and C.R. Rao, editers, Handbook of Statistics: Statistical Methods in Finance, Vol. 14, 1996, pp. 567-611. Handle: RePEc:nbr:nberwo:5129
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Find related papers by JEL classification: G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
Ghysels, E. & Harvey, A. & Renault, E., 1996.
"Stochastic Volatility,"
Cahiers de recherche
9613, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
Ghysels, E. & Harvey, A. & Renault, E., 1996.
"Stochastic Volatility,"
Cahiers de recherche
9613, Universite de Montreal, Departement de sciences economiques.
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