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Efficient Derivative Pricing by the Extended Method of Moments
Author(s) -
Gagliardini P.,
Gourieroux C.,
Renault E.
Publication year - 2011
Publication title -
econometrica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 16.7
H-Index - 199
eISSN - 1468-0262
pISSN - 0012-9682
DOI - 10.3982/ecta7192
Subject(s) - estimator , moment (physics) , mathematics , derivative (finance) , conditional expectation , generalized method of moments , nonparametric statistics , capital asset pricing model , econometrics , series (stratigraphy) , variable (mathematics) , parametric statistics , mathematical analysis , statistics , economics , finance , physics , classical mechanics , biology , paleontology
In this paper, we introduce the extended method of moments (XMM) estimator. This estimator accommodates a more general set of moment restrictions than the standard generalized method of moments (GMM) estimator. More specifically, the XMM differs from the GMM in that it can handle not only uniform conditional moment restrictions (i.e., valid for any value of the conditioning variable), but also local conditional moment restrictions valid for a given fixed value of the conditioning variable. The local conditional moment restrictions are of special relevance in derivative pricing to reconstruct the pricing operator on a given day by using the information in a few cross sections of observed traded derivative prices and a time series of underlying asset returns. The estimated derivative prices are consistent for a large time series dimension, but a fixed number of cross sectionally observed derivative prices. The asymptotic properties of the XMM estimator are nonstandard, since the combination of uniform and local conditional moment restrictions induces different rates of convergence (parametric and nonparametric) for the parameters.