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

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Serval ID
serval:BIB_E71C99A9C6A8
Type
Article: article from journal or magazin.
Collection
Publications
Title
Tail asymptotics for the sum of two heavy-tailed dependent risks
Journal
Extremes
Author(s)
Albrecher H., Asmussen S., Kortschak D.
ISSN
1386-1999
Publication state
Published
Issued date
2006
Peer-reviewed
Oui
Volume
9
Number
2
Pages
107-130
Language
english
Abstract
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.
Keywords
Copula, Dependence, Mean excess function, Regular variation, Subexponential distribution, Exchangeability, Tail dependence
Create date
09/02/2009 20:20
Last modification date
20/08/2019 17:10
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