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Optimal Change-Loss Reinsurance Contract Design under Tail Risk Measures for Catastrophe Insurance

Author

Listed:
  • Nanjun ZHU

    (Peking University)

  • Yulin FENG

    (Tsinghua University)

Abstract

In this paper, the optimal reinsurance contract design problem for catastrophe insurance is studied using the general structure of reinsurance contracts, change-loss reinsurance. Closed-form solutions are derived under two tail risk measures, Value-at-Risk (VaR) and Conditional Tail Expectation (CTE). The results show that CTE is a robust risk measure in that the structure of the optimal reinsurance contract under CTE measure is always change-loss reinsurance. While the optimal reinsurance contract under VaR measure degenerates from change-loss reinsurance to quota-share reinsurance when the ceding company is less risk averse. The theoretical approach is also applied to earthquake insurance market in China’s Yunnan Province, and explicit solutions to the optimal reinsurance contract design problem under both VaR and CTE measures are obtained in the paper.

Suggested Citation

  • Nanjun ZHU & Yulin FENG, 2017. "Optimal Change-Loss Reinsurance Contract Design under Tail Risk Measures for Catastrophe Insurance," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(4), pages 225-242.
    • Handle: RePEc:cys:ecocyb:v:50:y:2017:i:4:p:225-242
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Catastrophe Insurance; Change-Loss Reinsurance; Contract Design; Value-at-Risk; Conditional Tail Expectation.;
    All these keywords.

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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