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Optimal Reinsurance Under VaR and CTE Risk Measures When Ceded Loss Function is Concave

机译:当CEDED损失功能是凹形时,VAR和CTE风险措施下的最佳再保险

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摘要

Cai et al. (2008) explored the optimal reinsurance designs among the class of increasing convex reinsurance treaties under VaR and CTE risk measures. However, reinsurance contracts always involve a limit on the ceded loss function in practice, and thus it may not be enough to confine the analysis to the class of convex functions only. The object of this article is to present an optimal reinsurance policy under VaR and CTE optimization criteria when the ceded loss function is in a class of increasing concave functions and the reinsurance premium is determined by the expected value principle. The outcomes reveal that the optimal form and amount of reinsurance depend on the confidence level p for the risk measure and the safety loading θ for the reinsurance premium. It is shown that under the VaR optimization criterion, the quota-share reinsurance with a policy limit is optima, while the full reinsurance with a policy limit is optima under CTE optimization criterion. Some illustrative examples are provided.
机译:Cai等人。 (2008)探讨了var和CTE风险措施下增加凸再保险条约的最佳再保险设计。然而,再保险合同始终涉及在实践中对CEDED损失函数的限制,因此它可能不足以将分析仅限于对凸幂的类别。本文的目的是在var和CTE优化标准下呈现最佳再保险策略,当CEDED损耗函数处于增加的凹形功能和再保险溢价由预期的价值原则确定时。结果表明,再保险的最佳形式和再保险量取决于风险测量的置信水平P和再保险溢价的安全负载θ。结果表明,在VAR优化标准下,具有策略限制的配额共享再保险是最优的,而在CTE优化标准下,具有策略限制的全部再保险是最佳的。提供了一些说明性的例子。

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