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Kernel Based Goodness-of-Fit Test for Copulas with Fixed Smoothing Parameters

O. Scaillet

University of Geneva - HEC; Swiss Finance Institute

September 2005

FAME Research Paper No. 145

We study a test statistic on the integrated squared difference between a kernel estimator of the copula density and a kernel smoothed estimator of the parametric copula density. We show for fixed smoothing parameters that the test is consistent and that the asymptotic properties are driven by a U-statistic of order 4 with degeneracy of order 3. For practical implementation we suggest to compute the critical values through a semiparametric bootstrap. Monte Carlo results show that the bootstrap procedure performs well in small samples. In particular size and power are less sensitive to smoothing parameter choice than they are under the asymptotic approximation obtained for a vanishing bandwidth.

Number of Pages in PDF File: 17

Keywords: Nonparametric, Copula density, Goodness-of-fit test, U-statistic

JEL Classification: C12, D18, G10, G21, G22

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Date posted: September 13, 2005  

Suggested Citation

Scaillet , O., Kernel Based Goodness-of-Fit Test for Copulas with Fixed Smoothing Parameters (September 2005). FAME Research Paper No. 145. Available at SSRN: http://ssrn.com/abstract=796629 or http://dx.doi.org/10.2139/ssrn.796629

Contact Information

Olivier Scaillet (Contact Author)
University of Geneva - HEC ( email )
40 Boulevard du Pont d'Arve
Geneva 4, 1211
Swiss Finance Institute
40, Boulevard du Pont-d'Arve
Case Postale 3
1211 Geneva 4, CH-6900
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