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First- and Second-order Asymptotics for the Tail Distortion Risk Measure of Extreme Risks
Authors:Fan Yang
Institution:1. Actuarial Science Program, College of Business and Public Administration, Drake University, Des Moines, Iowa, USA;2. Applied Mathematical and Computational Sciences Program, University of Iowa, Iowa City, Iowa, USAfan.yang@uwaterloo.ca
Abstract:The tail distortion risk measure at level p was first introduced in Zhu and Li (2012 Zhu, L., Li, H. (2012). Tail distortion risk and its asymptotic analysis. Insur. Math. Econ. 51(1):115121.Crossref], Web of Science ®] Google Scholar]), where the parameter p ∈ (0, 1) indicates the confidence level. They established first-order asymptotics for this risk measure, as p↑1, for the Fréchet case. In this article, we extend their work by establishing both first-order and second-order asymptotics for the Fréchet, Weibull, and Gumbel cases. Numerical studies are also carried out to examine the accuracy of both asymptotics.
Keywords:Asymptotics  Extended regular variation  Max-domain of attraction  Regular variation  Second-order condition  Tail distortion risk measure
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