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Estimation of affine asset pricing models using the empirical characteristic function. (English) Zbl 0973.62096

Summary: The known functional form of the conditional characteristic function (CCF) of discretely sampled observations from an affine diffusion is used to develop computationally tractable and asymptotically efficient estimators of the parameters of affine diffusions, and of asset pricing models in which the state vectors follow affine diffusions. Both ‘time-domain’ estimators, based on Fourier inversion of the CCF, and ‘frequency-domain’ estimators, based directly on the CCF, are constructed. A method-of-moments estimator based on the CCF is shown to approximate the efficiency of maximum likelihood for affine diffusion and asset pricing models.

MSC:

62P05 Applications of statistics to actuarial sciences and financial mathematics
62M05 Markov processes: estimation; hidden Markov models
91B28 Finance etc. (MSC2000)
Full Text: DOI

References:

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