Tail asymptotics for the sum of two heavy-tailed dependent risks

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Etat: Public
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ID Serval
serval:BIB_E71C99A9C6A8
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Tail asymptotics for the sum of two heavy-tailed dependent risks
Périodique
Extremes
Auteur⸱e⸱s
Albrecher H., Asmussen S., Kortschak D.
ISSN
1386-1999
Statut éditorial
Publié
Date de publication
2006
Peer-reviewed
Oui
Volume
9
Numéro
2
Pages
107-130
Langue
anglais
Résumé
Let X1, X2 denote positive heavy-tailed random variables with continuous marginal distribution functions F1 and F2, respectively. The asymptotic behavior of the tail of X1+X2 is studied in a general copula framework and some bounds and extremal properties are provided. For more specific assumptions on F1, F2 and the underlying dependence structure of X1 and X2, we survey explicit asymptotic results available in the literature and add several new cases.
Mots-clé
Copula, Dependence, Mean excess function, Regular variation, Subexponential distribution, Exchangeability, Tail dependence
Création de la notice
09/02/2009 19:20
Dernière modification de la notice
20/08/2019 16:10
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