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Optimal strategies for ergodic control problems arising from portfolio optimization

机译:投资组合优化产生的ergodic控制问题的最佳策略

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We consider constructing optimal strategies for risk-sensitive portfolio optimization problems on an infinite time horizon for general factor models, where the mean returns and the volatilities of individual securities or asset categories are explicitly affected by economic factors. The factors are assumed to be general diffusion processes. In studying the ergodic type Bellman equations of the risk-sensitive portfolio optimization problems we introduce some auxiliary classical stochastic control problems with the same Bellman equations as the original ones. We show that the optimal diffusion processes of the problem are ergodic and that under some condition related to integrability by the invariant measures of the diffusion processes we can construct optimal strategies for the original problems by using the solution of the Bellman equations.
机译:我们考虑在一般因子模型的无限时间范围内构建风险敏感的投资组合优化问题的最佳策略,其中均值的均衡和各个证券或资产类别的均值和挥发性受到经济因素的影响。假设因素是一般扩散过程。在研究风险敏感性投资组合优化问题的ergodic型Bellman方程中,我们将一些辅助经典随机控制问题引入与原始的相同的贝尔曼方程。我们表明,问题的最佳扩散过程是ergodic的,并且在与扩散过程的不变措施通过不变措施相关的一些条件下,我们可以通过使用Bellman方程的解决方案来构建原始问题的最佳策略。

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