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Tail asymptotics for the sum of two heavy-tailed dependent risks
Authors:Hansjörg Albrecher  Søren Asmussen  Dominik Kortschak
Institution:(1) Graz University of Technology, Steyrergasse 30, A-8010 Graz, Austria;(2) Radon Institute, Austrian Academy of Sciences, Altenbergerstrasse 69, A-4040 Linz, Austria;(3) University of Aarhus, Ny Munkegade, DK-8000 Aarhus C, Denmark
Abstract:Let X 1 , X 2 denote positive heavy-tailed random variables with continuous marginal distribution functions F 1 and F 2, respectively. The asymptotic behavior of the tail of X 1 +X 2 is studied in a general copula framework and some bounds and extremal properties are provided. For more specific assumptions on F 1 , F 2 and the underlying dependence structure of X 1 and X 2, we survey explicit asymptotic results available in the literature and add several new cases.Supported by the Austrian Science Fund Project P-18392.
Keywords:Copula  Dependence  Mean excess function  Regular variation  Subexponential distribution  Exchangeability  Tail dependence
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