Reduced-biased estimators of the Conditional Tail Expectation for heavy-tailed distributions

Abstract : Several risk measures have been proposed in the literature. In this talk, we focus on the estimation of the Conditional Tail Expectation (CTE). The asymptotic normality of estimators of the CTE has been established in the literature under a finite second moment condition. If this condition is not satisfi ed, no result is available. This talk deals with the estimation problem of the CTE within the class of heavy-tailed distributions, which are quite common in practice, in particular in an actuarial context. More precisely, we introduce a reduced-biased estimator and establish its asymptotic normality under very general assumptions. Our proofs are mainly based on empirical processes arguments combined with some extreme value results. Finally, we illustrate the efficiency of our estimators on a small simulation study.
Type de document :
Communication dans un congrès
Mathematical Statistics and Limit Theorems, Conference in honor of Prof. Paul Deheuvels, Jun 2013, Paris, France. pp.électronique, 2013, <10.1007/978-3-319-12442-1_7>
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https://hal.archives-ouvertes.fr/hal-00837681
Contributeur : Stephane Girard <>
Soumis le : lundi 24 juin 2013 - 10:08:10
Dernière modification le : samedi 14 mai 2016 - 01:04:48

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El Hadji Deme, Stephane Girard, Armelle Guillou. Reduced-biased estimators of the Conditional Tail Expectation for heavy-tailed distributions. Mathematical Statistics and Limit Theorems, Conference in honor of Prof. Paul Deheuvels, Jun 2013, Paris, France. pp.électronique, 2013, <10.1007/978-3-319-12442-1_7>. <hal-00837681>

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