多期动态资产负债管理模型的研究—Mean-Field方法的应用 Study on a Multi-Period Mean-Variance Model with Liabilities—The Application of the Mean-Field Method

梁雪
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引用次数: 0

摘要

本文在均值–方差准则下考虑有负债的多期有现金流追加的投资选择问题,该问题的目标函数含有盈余期望的平方这一非线性项,不能直接利用动态规划方法求解。本文通过利用mean-field方法,扩大状态空间和策略空间,使得原问题可以利用动态规划原理得出最佳策略,进而通过迭代计算,得到了有效前沿。 This paper investigates a multi-period mean-variance portfolio selection with liabilities and sto-chastic cash flow. It is a stochastic control problem whose objective functional involves a nonlinear function of the expected earnings, so it can’t be solved by dynamic programming method directly. By enlarging the state space and the control space, we use the mean-field method to transform the initial problem to a solvable one. We get the efficient frontier by iterative calculations.
本文章由计算机程序翻译,如有差异,请以英文原文为准。
多期动态资产负债管理模型的研究—Mean-Field方法的应用 Study on a Multi-Period Mean-Variance Model with Liabilities—The Application of the Mean-Field Method
本文在均值–方差准则下考虑有负债的多期有现金流追加的投资选择问题,该问题的目标函数含有盈余期望的平方这一非线性项,不能直接利用动态规划方法求解。本文通过利用mean-field方法,扩大状态空间和策略空间,使得原问题可以利用动态规划原理得出最佳策略,进而通过迭代计算,得到了有效前沿。 This paper investigates a multi-period mean-variance portfolio selection with liabilities and sto-chastic cash flow. It is a stochastic control problem whose objective functional involves a nonlinear function of the expected earnings, so it can’t be solved by dynamic programming method directly. By enlarging the state space and the control space, we use the mean-field method to transform the initial problem to a solvable one. We get the efficient frontier by iterative calculations.
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