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Markov decision process algorithms for wealth allocation problems with defaultable bonds

机译:带有可违约债券的财富分配问题的马尔可夫决策过程算法

摘要

This paper is concerned with analysing optimal wealth allocation techniques within a defaultable financial market similar to Bielecki and Jang (2007). It studies a portfolio optimization problem combining a continuous-time jump market and a defaultable security; and presents numerical solutions through the conversion into a Markov decision process and characterization of its value function as a unique fixed point to a contracting operator. This work analyses allocation strategies under several families of utilities functions, and highlights significant portfolio selection differences with previously reported results.
机译:本文关注的是在类似于Bielecki和Jang(2007)的可违约金融市场中分析最佳财富分配技术。它研究了结合了连续时间跳跃市场和可违约证券的投资组合优化问题;并通过转换为马尔可夫决策过程并将其值函数表征为订约运营商的唯一不动点来提供数值解。这项工作分析了几种公用事业职能系列下的分配策略,并突出了与先前报告的结果明显不同的投资组合选择。

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