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On the Haezendonck–Goovaerts Risk Measure for Extreme Risks

By Qihe Tang [a and Fan Yang [b

Abstract

In this paper we are interested in the calculation of the Haezendonck–Goovaerts risk measure, which is defined via a convex Young function and a parameter q ∈ (0, 1) representing the confidence level. We mainly focus on the case in which the risk variable follows a distribution function from a max-domain of attraction. For this case, we restrict the Young function to be a power function and we derive exact asymptotics for the Haezendonck–Goovaerts risk measure as q ↑ 1. As a subsidiary, we also consider the case with an exponentially distributed risk variable and a general Young function, and we obtain an analytical expression for the Haezendonck–Goovaerts risk measure

Topics: Asymptotics, Haezendonck–Goovaerts risk measure, Max-domain of attraction, Regular/rapid variation, Young function
Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.352.2464
Provided by: CiteSeerX
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