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An optimal investment strategy with maximal risk aversion and its ruin probability in the presence of stochastic volatility on investments

机译:在投资具有随机波动性的情况下,具有最大风险规避及其破产概率的最优投资策略

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摘要

In this paper, we study an optimal investment problem of an insurance company with a Cramer-Lundberg risk process and investments portfolio consisting of a risky asset with stochastic volatility and a money market. The asset prices are affected by a correlated economic factor, modeled as diffusion process. We prove a verification theorem, in order to show that any solution to the Hamilton-Jacobi-Bellman equation solves the optimization problem. When the insurer preferences are exponential, we prove the existence of a smooth solution, and we give an explicit form of the optimal strategy, also numerical results are presented in the case of the Scott model. Finally we use the optimal strategy to get an estimate of the ruin probability in finite horizon.
机译:在本文中,我们研究了具有Cramer-Lundberg风险过程和由具有随机波动性的风险资产和货币市场组成的投资组合的保险公司的最优投资问题。资产价格受相关经济因素影响,建模为扩散过程。我们证明了一个验证定理,以表明对Hamilton-Jacobi-Bellman方程的任何解决方案都可以解决优化问题。当保险公司的偏好为指数型时,我们证明了光滑解的存在,并且给出了最优策略的显式形式,并且在Scott模型的情况下也给出了数值结果。最后,我们使用最佳策略来获得有限水平范围内的毁灭概率估计。

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