Cheung, Ka Chun, Yam, Sheung Chi Phillip, Yuen, Fei Lung, Zhang, Yiying (2020) Concave distortion risk minimizing reinsurance design under adverse selection. Insurance: Mathematics and Economics, 91 . pp. 155-165. ISSN 0167-6687. (doi:10.1016/j.insmatheco.2020.02.001) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:97131)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication) | |
Official URL: https://doi.org/10.1016/j.insmatheco.2020.02.001 |
Abstract
This article makes use of the well-known Principal–Agent (multidimensional screening) model commonly used in economics to analyze a monopolistic reinsurance market in the presence of adverse selection, where the risk preference of each insurer is guided by its concave distortion risk measure of the terminal wealth position; while the reinsurer, under information asymmetry, aims to maximize its expected profit by designing an optimal policy provision (menu) of “shirt-fit” stop-loss reinsurance contracts for every insurer of either type of low or high risk. In particular, the most representative case of Tail Value-at-Risk (TVaR) is further explored in detail so as to unveil the underlying insight from economics perspective.
Item Type: | Article |
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DOI/Identification number: | 10.1016/j.insmatheco.2020.02.001 |
Subjects: | Q Science > QA Mathematics (inc Computing science) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
Depositing User: | Kevin Yuen |
Date Deposited: | 28 Sep 2022 13:24 UTC |
Last Modified: | 05 Nov 2024 13:02 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/97131 (The current URI for this page, for reference purposes) |
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