Cramér--Lundberg模型下带随机系数的约束单调均值-方差投资-再保险问题
Constrained monotone mean--variance investment-reinsurance under the Cramér--Lundberg model with random coefficients
AI总结:
本文在Cramér--Lundberg模型下研究带随机系数和凸锥约束的单调均值-方差投资-再保险问题,通过求解带跳的倒向随机微分方程得到最优策略,并证明与均值-方差准则结果一致。
摘要:
本文研究在Cramér--Lundberg模型下,保险公司(她)在单调均值-方差(MMV)准则下的最优投资-再保险问题。在任何时刻,保险公司可以购买再保险(或获取新业务),并投资于由无风险资产和多种风险资产组成的证券市场,其中风险资产的超额收益率和波动率允许是随机的。交易策略受一般凸锥约束,其中包含禁止卖空约束作为特例。通过求解某些带跳的倒向随机微分方程,推导出MMV问题的最优投资-再保险策略和最优值。文献中已知,当财富过程连续时,采用MMV准则和均值-方差准则的模型会导致相同的最优策略和最优值。我们的结果表明,即使财富过程具有补偿泊松跳跃且市场系数是随机的,该结论仍然成立。
英文摘要:
This paper studies an optimal investment-reinsurance problem for an insurer (she) under the Cramér--Lundberg model with monotone mean--variance (MMV) criterion. At any time, the insurer can purchase reinsurance (or acquire new business) and invest in a security market consisting of a risk-free asset and multiple risky assets whose excess return rate and volatility rate are allowed to be random. The trading strategy is subject to a general convex cone constraint, encompassing no-shorting constraint as a special case. The optimal investment-reinsurance strategy and optimal value for the MMV problem are deduced by solving certain backward stochastic differential equations with jumps. In the literature, it is known that models with MMV criterion and mean--variance criterion lead to the same optimal strategy and optimal value when the wealth process is continuous. Our result shows that the conclusion remains true even if the wealth process has compensated Poisson jumps and the market coefficients are random.
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