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Optimal Control of Investment-Reinsurance Problem for an Insurer with Jump-Diffusion Risk Process: Independence of Brownian Motions

机译:具有跳跃扩散风险过程的保险公司投资再保险问题的最优控制:布朗运动的独立性

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This paper investigates the excess-of-loss reinsurance and investment problem for a compound Poisson jump-diffusion risk process, with the risk asset price modeled by a constant elasticity of variance (CEV) model. It aims at obtaining the explicit optimal control strategy and the optimal value function. Applying stochastic control technique of jump diffusion, a Hamilton-Jacobi-Bellman (HJB) equation is established. Moreover, we show that a closed-form solution for the HJB equation can be found by maximizing the insurer’s exponential utility of terminal wealth with the independence of two Brownian motionsW(t)andW1(t). A verification theorem is also proved to verify that the solution of HJB equation is indeed a solution of this optimal control problem. Then, we quantitatively analyze the effect of different parameter impacts on optimal control strategy and the optimal value function, which show that optimal control strategy is decreasing with the initial wealthxand decreasing with the volatility rate of risk asset price. However, the optimal value functionV(t;x;s)is increasing with the appreciation rateμof risk asset.
机译:本文调查了复合泊松跳跃扩散风险过程的损失过剩和投资问题,风险资产价格由恒定弹性(CEV)模型为模型。它旨在获得明确的最佳控制策略和最佳价值函数。建立了跳跃扩散的随机控制技术,建立了汉密尔顿 - Jacobi-Bellman(HJB)方程。此外,我们表明,通过使用两个布朗动作W1(t)的独立性,可以通过终端财富的次数效用来找到HJB方程的封闭式解决方案。还证明了验证定理以验证HJB方程的解决方案确实是这种最佳控制问题的解决方案。然后,我们定量分析了不同参数影响对最优控制策略的影响和最佳价值函数,这表明最初的控制策略与风险资产价格波动率的初始财富率下降逐渐减少。但是,最佳值函数(T; x; s)正在增加风险资产的升值率升高。

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