{"title":"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","authors":"梁雪","doi":"10.12677/FIN.2017.71003","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":251115,"journal":{"name":"The Finance","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"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\",\"authors\":\"梁雪\",\"doi\":\"10.12677/FIN.2017.71003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":251115,\"journal\":{\"name\":\"The Finance\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12677/FIN.2017.71003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12677/FIN.2017.71003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
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.