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Revisit optimal reinsurance under a new distortion risk measure

Author

Listed:
  • Zichao Xia
  • Wanwan Xia
  • Zhenfeng Zou

Abstract

Distortion risk measures have a significant effect on the fields of finance and risk management. In this article, we consider two optimal reinsurance designs under a new distortion risk measure with mixed methods, which was proposed by Zhu and Yin (Communications in Statistics - Theory and Methods 2023, 4151–4164), one with the reinsurer’s default risk and another one with the context of determining the Pareto-optimal reinsurance policies. The closed-form solutions of optimal reinsurance policies in both setting are obtained. The GlueVaR and generalized GlueVaR are considered in the application of designing optimal reinsurance contracts with reinsurer’s default risk as two special cases. Finally, we give two numerical examples, one with default risk and another one without default risk, to illustrate our results.

Suggested Citation

  • Zichao Xia & Wanwan Xia & Zhenfeng Zou, 2024. "Revisit optimal reinsurance under a new distortion risk measure," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 53(15), pages 5657-5672, August.
    • Handle: RePEc:taf:lstaxx:v:53:y:2024:i:15:p:5657-5672
    DOI: 10.1080/03610926.2023.2226783
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