Optimal Ratcheting of Dividends with Irreversible Reinsurance

Tim J. Boonen, Engel John C. Dela Vega
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Abstract

This paper considers an insurance company that faces two key constraints: a ratcheting dividend constraint and an irreversible reinsurance constraint. The company allocates part of its reserve to pay dividends to its shareholders while strategically purchasing reinsurance for its claims. The ratcheting dividend constraint ensures that dividend cuts are prohibited at any time. The irreversible reinsurance constraint ensures that reinsurance contracts cannot be prematurely terminated or sold to external entities. The dividend rate level and the reinsurance level are modelled as nondecreasing processes, thereby satisfying the constraints. The incurred claims are modelled via a Brownian risk model. The main objective is to maximize the cumulative expected discounted dividend payouts until the time of ruin. The reinsurance and dividend levels belong to either a finite set or a closed interval. The optimal value functions for the finite set case and the closed interval case are proved to be the unique viscosity solutions of the corresponding Hamilton-Jacobi-Bellman equations, and the convergence between these optimal value functions is established. For the finite set case, a threshold strategy is proved to be optimal, while for the closed interval case, an $\epsilon$-optimal strategy is constructed. Finally, numerical examples are presented to illustrate the optimality conditions and optimal strategies.
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利用不可逆再保险优化红利梯级分配
本文探讨了一家保险公司面临的两个关键约束条件:分红约束和不可逆转的再保险约束。该公司将部分准备金用于向股东支付股息,同时战略性地为其索赔购买再保险。逐级股息约束确保在任何时候都禁止削减股息。其可逆再保险约束确保再保险合同不得提前终止或出售给外部实体。红利率水平和再保险水平被模拟为非递减过程,从而满足约束条件。已发生赔款通过布朗风险模型建模。主要目标是最大化累计预期贴现红利支付,直到破产为止。再保险和红利水平属于有限集合或封闭区间。证明了有限集情况和封闭区间情况下的最优值函数是相应的哈密尔顿-雅各比-贝尔曼方程的唯一粘性解,并确定了这些最优值函数之间的收敛性。对于有限集情况,证明了阈值策略是最优的,而对于封闭区间情况,构建了$epsilon$最优策略。最后,给出了一些数值例子来说明最优条件和最优策略。
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