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Variance insurance contracts

Yichun Chi, Xun Yu Zhou and Sheng Chao Zhuang

Insurance: Mathematics and Economics, 2024, vol. 115, issue C, 62-82

Abstract: We study the design of an optimal insurance contract in which the insured maximizes her expected utility and the insurer limits the variance of his risk exposure while maintaining the principle of indemnity and charging the premium according to the expected value principle. We derive the optimal policy semi-analytically, which is coinsurance above a deductible when the variance bound is binding. This policy automatically satisfies the incentive-compatible condition, which is crucial to rule out ex post moral hazard. We also find that the deductible is absent if and only if the contract pricing is actuarially fair. Focusing on the actuarially fair case, we carry out comparative statics on the effects of the insured's initial wealth and the variance bound on insurance demand. Our results indicate that the expected coverage is always larger for a wealthier insured, implying that the underlying insurance is a normal good, which supports certain recent empirical findings. Moreover, as the variance constraint tightens, the prudent insured cedes less losses, while the insurer is exposed to less tail risk.

Keywords: Insurance design; Expected value principle; Variance; Incentive compatibility; Comparative statics (search for similar items in EconPapers)
JEL-codes: C02 G22 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:insuma:v:115:y:2024:i:c:p:62-82

DOI: 10.1016/j.insmatheco.2023.12.005

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Insurance: Mathematics and Economics is currently edited by R. Kaas, Hansjoerg Albrecher, M. J. Goovaerts and E. S. W. Shiu

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