Pareto-Optimal Reinsurance Revisited: A Two-Stage Optimisation Procedure Approach. (29th September 2020)

• Record Type: Journal Article
• Authors: Fang, Ying; Wang, Lu; Qu, Zhongfeng
• Other Names: Yu Wenguang Guest Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2020(2020)
• Publication Date: 2020-09-29
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2020/3061298
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : In this paper, based on the Tail-Value-at-Risk (TVaR) measure, we revisit the Pareto-optimal reinsurance policies for the insurer and the reinsurer via a two-stage optimisation procedure. To reduce ex-post moral hazard, we assume that reinsurance contracts satisfy the principle of indemnity and the incentive compatible constraint which have been advocated by Huberman et al. (1983). We show that the Pareto-optimal reinsurance policy exists if the reinsurance premiums can be expressed as an integral form. The proposed class of premium principles encompasses the net premium principle, expected value premium principle, TVaR premium principle, generalized percentile premium principle, and so on. We further use the TVaR premium principle and the expected value premium principle as examples to illustrate the two-stage optimisation procedure by deriving explicitly the Pareto-optimal reinsurance policies. We extend the results by Cai et al. (2017) when the expected value premium principle is replaced by the TVaR premium principle.