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Minimizing the ruin probability allowing investments in two assets: A two-dimensional problem

机译:最小化破产概率,允许投资两种资产:二维问题

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We consider in this paper that the reserve of an insurance company follows the classical model, in which the aggregate claim amount follows a compound Poisson process. Our goal is to minimize the ruin probability of the company assuming that the management can invest dynamically part of the reserve in an asset that has a positive fixed return. However, due to transaction costs, the sale price of the asset at the time when the company needs cash to cover claims is lower than the original price. This is a singular two-dimensional stochastic control problem which cannot be reduced to a one-dimensional problem. The associated Hamilton-Jacobi-Bellman (HJB) equation is a variational inequality involving a first order integro-differential operator and a gradient constraint. We characterize the optimal value function as the unique viscosity solution of the associated HJB equation. For exponential claim distributions, we show that the optimal value function is induced by a two-region stationary strategy ("action" and "inaction" regions) and we find an implicit formula for the free boundary between these two regions. We also study the optimal strategy for small and large initial capital and show some numerical examples.
机译:在本文中,我们认为,保险公司的准备金遵循经典模型,其中总索赔额遵循复合泊松过程。我们的目标是假设管理层可以动态地将部分准备金投资于具有固定收益的资产,从而最大程度地降低公司的破产概率。但是,由于交易成本的原因,在公司需要现金支付索赔时资产的出售价格低于原始价格。这是一个奇异的二维随机控制问题,不能简化为一维问题。关联的汉密尔顿-雅各比-贝尔曼(HJB)方程是一阶不等式,涉及一阶积分微分算子和一个梯度约束。我们将最佳值函数表征为相关HJB方程的唯一粘度解。对于指数索赔分布,我们表明最优价值函数是由两区域固定策略(“作用”和“无作用”区域)引起的,并且我们发现了这两个区域之间自由边界的隐式公式。我们还研究了大小初始资本的最优策略,并给出了一些数值示例。

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