Comparison of semiparametric and parametric methods for estimating copulas

Author:

Kim Gunky,Silvapulle Mervyn J.,Silvapulle Paramsothy

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference19 articles.

1. A new class of multivariate skew densities, with application to generalized autoregressive conditional heteroscedasticity models;Bauwens;J. Business Econom. Statist.,2005

2. Copula Methods in Finance;Cherubini,2004

3. The joy of copulas: bivariate distributions with uniform marginals;Genest;Amer. Statist.,1986

4. Statistical inference procedures for bivariate archemedean copulas;Genest;J. Amer. Statist. Assoc.,1993

5. Conditions on the asymptotic semiparametric efficiency of an omnibus estimator of dependence parameters in copula models;Genest,2002

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