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Time-consistent non-zero-sum stochastic differential reinsurance and investment game under default and volatility risks

机译:违约和波动风险下的时间一致的非零随机差分再保险和投资游戏

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This paper investigates a non-zero-sum stochastic differential game between two mean-variance insurers. These two insurers are concerned about their terminal wealth and the relative performance compared with each other. We assume that they can buy proportional reinsurance and invest in a financial market consisting of a risk-free asset, a stock and a defaultable bond. The price process of stock is driven by the constant elasticity of variance (CEV) model and the defaultable bond recovers a proportion of value at default. So, these two insurers are faced with insurance risk, volatility risk and default risk. The non-zero-sum goal of these insurers is to maximize the mean-variance utility of a weighted value of their terminal and relative wealths. We solve the mean-variance problem in the time-consistent case and establish the extended Hamilton-Jacobi-Bellman systems for the post-default case and the pre-default case, respectively. Furthermore, we derive the closed form solutions of the Nash equilibrium reinsurance and investment strategies for these two insurers. In the end of this paper, we calibrate the parameters based on real data and several numerical examples are provided to illustrate the effects of economic parameters on the equilibrium strategies. (C) 2020 Elsevier B.V. All rights reserved.
机译:本文调查了两个平均方差保险公司之间的非零随机差异游戏。这两位保险公司对其终端财富和相互关注的相对绩效感到关切。我们假设他们可以购买比例再保险,投资于由无风险资产,股票和违约债券组成的金融市场。库存的价格过程是由差异的恒定弹性(CEV)模型驱动,并且默认债券恢复默认值的比例。因此,这两项保险公司面临着保险风险,挥发性风险和违约风险。这些保险公司的非零和目标是最大限度地提高其终端和相对财富的加权值的平均方差效用。我们在时间一致的情况下解决了平均方差问题,并为后默认情况和预默认情况建立了扩展的汉密尔顿-Jacobi-Bellman系统。此外,我们为这两个保险公司派生了纳什均衡再保险和投资策略的封闭形式解决方案。在本文的最后,我们基于实际数据校准参数,并提供了几个数值示例,以说明经济参数对均衡策略的影响。 (c)2020 Elsevier B.v.保留所有权利。

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