OPTIMAL INCENTIVE-COMPATIBLE INSURANCE WITH BACKGROUND RISK

被引:11
|
作者
Chi, Yichun [1 ]
Tan, Ken Seng [2 ]
机构
[1] Cent Univ Finance & Econ, China Inst Actuarial Sci, Beijing 102206, Peoples R China
[2] Nanyang Technol Univ, Nanyang Business Sch, Div Banking & Finance, Singapore, Singapore
来源
ASTIN BULLETIN | 2021年 / 51卷 / 02期
基金
加拿大自然科学与工程研究理事会; 中国国家自然科学基金;
关键词
Background risk; conditional expectation function; incentive compatibility; mean-variance preference; optimal insurance design; OPTIMAL REINSURANCE; DESIGN; POLICY;
D O I
10.1017/asb.2021.7
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this paper, the optimal insurance design is studied from the perspective of an insured, who faces an insurable risk and a background risk. For the reduction of ex post moral hazard, alternative insurance contracts are asked to satisfy the principle of indemnity and the incentive-compatible condition. As in the literature, it is assumed that the insurer calculates the insurance premium solely on the basis of the expected indemnity. When the insured has a general mean-variance preference, an explicit form of optimal insurance is derived explicitly. It is found that the stochastic dependence between the background risk and the insurable risk plays a critical role in the insured's risk transfer decision. In addition, the optimal insurance policy can often change significantly once the incentive-compatible constraint is removed.
引用
收藏
页码:661 / 688
页数:28
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