Extremes for multivariate expectiles - Archive ouverte HAL
Article Dans Une Revue Statistics & Risk Modeling with Applications in Finance and Insurance Année : 2018

Extremes for multivariate expectiles

Résumé

Multivariate expectiles, a new family of vector-valued risk measures, were recently introduced in the literature. Here we investigate the asymptotic behavior of these measures in a multivariate regular variation context. For models with equivalent tails, we propose an estimator of extreme multivariate expectiles in the Fréchet domain of attraction case with asymptotic independence, or for comonotonic marginal distributions.
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Dates et versions

hal-01923798 , version 1 (15-11-2018)

Identifiants

Citer

Véronique Maume-Deschamps, Didier Rullière, Khalil Said. Extremes for multivariate expectiles. Statistics & Risk Modeling with Applications in Finance and Insurance, 2018, 35 (3-4), pp.111-140. ⟨10.1515/strm-2017-0014⟩. ⟨hal-01923798⟩
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