Abstract
This paper discusses optimal reinsurance strategy by minimizing insurer’s risk under one general risk measure: Distortion risk measure. The authors assume that the reinsurance premium is determined by the expected value premium principle and the retained loss of the insurer is an increasing function of the initial loss. An explicit solution of the insurer’s optimal reinsurance problem is obtained. The optimal strategies for some special distortion risk measures, such as value-at-risk (VaR) and tail value-at-risk (TVaR), are also investigated.
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Zheng’s research was supported by the Program of National Natural Science Foundation of Youth of China under Grant No. 11201012 and PHR201007125; Yang’s research was supported by the Key Program of National Natural Science Foundation of China under Grant No. 11131002 and the National Natural Science Foundation of China under Grant No. 11271033.
This paper was recommended for publication by Editor WANG Shouyang.
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Zheng, Y., Cui, W. & Yang, J. Optimal reinsurance under distortion risk measures and expected value premium principle for reinsurer. J Syst Sci Complex 28, 122–143 (2015). https://doi.org/10.1007/s11424-014-2095-z
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DOI: https://doi.org/10.1007/s11424-014-2095-z