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On the Haezendonck-Goovaerts risk measure for extreme risks

机译:关于Haezendonck-Goovaerts极端风险的风险衡量

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摘要

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.
机译:在本文中,我们对Haezendonck-Goovaerts风险度量的计算感兴趣,该度量是通过凸Young函数和代表置信度的参数q(€)(0,1)定义的。我们主要关注风险变量遵循最大吸引域的分布函数的情况。对于这种情况,我们将Young函数限制为幂函数,并且我们将Haezendonck-Goovaerts风险度量的精确渐近性推导为q↑1。作为子公司,我们还考虑了风险指数呈指数分布且广义Young的情况。函数,我们获得了Haezendonck-Goovaerts风险度量的分析表达式。

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  • 来源
    《Insurance 》 |2012年第1期| p.217-227| 共11页
  • 作者

    Qihe Tang; Fan Yang;

  • 作者单位

    Department of Statistics and Actuarial Science, University of Iowa, 241 Schaeffer Hall, Iowa City, IA 52242, USA,Applied Mathematical and Computational Sciences Program, University of Iowa, 14 Maclean Hall, Iowa City, IA 52242, USA;

    Applied Mathematical and Computational Sciences Program, University of Iowa, 14 Maclean Hall, Iowa City, IA 52242, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    asymptotics; haezendonck-goovaerts risk measure; max-domain of attraction; regular/rapid variation; young function;

    机译:无症状haezendonck-goovaerts风险衡量;最大吸引力域;定期/快速变化;年轻功能;

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