Evolutionary game dynamics of index insurance with refund or non-refund risk sharing mechanism.

IF 2.7 2区 数学 Q1 MATHEMATICS, APPLIED
Chaos Pub Date : 2025-05-01 DOI:10.1063/5.0270353
Lichen Wang, Shijia Hua, Yuyuan Liu, Liang Zhang, Linjie Liu
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Abstract

Index insurance, by utilizing preset indices, effectively mitigates the moral hazards and adverse selection inherent in traditional insurance. Yet, the mismatch between these indices and actual losses, known as basis risk, severely hinders its broader adoption. The existing study has proposed a risk sharing mechanism, in which individuals who have not suffered losses but have received compensation assist those who have suffered losses but have not received compensation. Nonetheless, due to individual profit-seeking behavior, this mechanism is difficult to implement in practice. In this study, we construct a threshold-discounted index insurance game model including new risk sharing mechanisms. In the model, individuals purchasing index insurance are required to contribute to a risk sharing pool to compensate those facing basis risk. We analyze two mechanisms for handling the funds: a refund mechanism and a non-refund mechanism, depending on whether the funds are returned to the policyholders when no basis risk occurs. We find that low basis risk remains key for the sale of index insurance under both mechanisms. Moreover, with an appropriate risk sharing ratio, the introduction of a risk sharing pool significantly increases the adoption of index insurance. The refund mechanism, with its stronger risk sharing capability, proves more popular. Additionally, larger group sizes or lower collective thresholds can enhance the stability and aid capacity of the risk sharing pool, thereby further increasing adoption rates. Finally, insurance companies should accurately assess the risk aversion level of the population, as it is also a key factor affecting insurance sales.

退退与不退风险分担机制下指数保险的演化博弈动力学。
指数保险利用预设的指标,有效地缓解了传统保险固有的道德风险和逆向选择。然而,这些指数与实际损失(即所谓的基差风险)之间的不匹配,严重阻碍了其被广泛采用。现有的研究提出了一种风险分担机制,即未遭受损失但已获得赔偿的个人帮助遭受损失但未获得赔偿的人。然而,由于个体的逐利行为,这一机制在实践中难以实施。本文构建了一个包含风险分担机制的阈值贴现指数保险博弈模型。在该模型中,购买指数保险的个人被要求向风险分担池贡献资金,以补偿面临基差风险的个人。我们分析了两种处理资金的机制:退款机制和不退款机制,这取决于在没有发生基差风险时是否将资金退还给保单持有人。我们发现,在这两种机制下,低基差风险仍然是指数保险销售的关键。此外,在适当的风险分担比例下,风险分担池的引入显著增加了指数保险的采用。退费机制因其风险分担能力更强,更受欢迎。此外,更大的群体规模或更低的集体阈值可以增强风险分担池的稳定性和援助能力,从而进一步提高采用率。最后,保险公司应该准确评估人群的风险厌恶程度,因为这也是影响保险销售的关键因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chaos
Chaos 物理-物理:数学物理
CiteScore
5.20
自引率
13.80%
发文量
448
审稿时长
2.3 months
期刊介绍: Chaos: An Interdisciplinary Journal of Nonlinear Science is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.
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