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  • 标题:Optimal Reciprocal Reinsurance under GlueVaR Distortion Risk Measures
  • 本地全文:下载
  • 作者:Yuxia Huang ; Chuancun Yin
  • 期刊名称:Journal of Mathematical Finance
  • 印刷版ISSN:2162-2434
  • 电子版ISSN:2162-2442
  • 出版年度:2019
  • 卷号:9
  • 期号:1
  • 页码:11-24
  • DOI:10.4236/jmf.2019.91002
  • 出版社:Scientific Research Publishing
  • 摘要:This article investigates the optimal reciprocal reinsurance strategies when the risk is measured by a general risk measure, namely the GlueVaR distortion risk measures, which can be expressed as a linear combination of two tail value at risk (TVaR) and one value at risk (VaR) risk measures. When we consider the reciprocal reinsurance, the linear combination of three risk measures can be difficult to deal with. In order to overcome difficulties, we give a new form of the GlueVaR distortion risk measures. This paper not only derives the necessary and sufficient condition that guarantees the optimality of marginal indemnification functions (MIF), but also obtains explicit solutions of the optimal reinsurance design. This method is easy to understand and can be simplified calculation. To further illustrate the applicability of our results, we give a numerical example.
  • 关键词:Distortion Risk Measure;VaR;TVaR;GlueVaR;Marginal Indemnification Function (MIF);Optimal Reciprocal Reinsurance
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