{"title":"随机控制理论在最优投资组合问题中的应用","authors":"M. Japundzic, D. Jocic, I. Pavkov","doi":"10.1109/SISY.2012.6339491","DOIUrl":null,"url":null,"abstract":"Application of stochastic control theory to the optimal portfolio selection problem, in the case when portfolio consists of two assets with different level of risk is illustrated. Choosing power functions and natural logarithmic for the utility function, and using a converse of Hamilton-Jacobi-Bellman (HJB) theorem, the formula for optimal portfolio is derived.","PeriodicalId":207630,"journal":{"name":"2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of stochastic control theory to the optimal portfolio selection problem\",\"authors\":\"M. Japundzic, D. Jocic, I. Pavkov\",\"doi\":\"10.1109/SISY.2012.6339491\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Application of stochastic control theory to the optimal portfolio selection problem, in the case when portfolio consists of two assets with different level of risk is illustrated. Choosing power functions and natural logarithmic for the utility function, and using a converse of Hamilton-Jacobi-Bellman (HJB) theorem, the formula for optimal portfolio is derived.\",\"PeriodicalId\":207630,\"journal\":{\"name\":\"2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SISY.2012.6339491\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SISY.2012.6339491","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of stochastic control theory to the optimal portfolio selection problem
Application of stochastic control theory to the optimal portfolio selection problem, in the case when portfolio consists of two assets with different level of risk is illustrated. Choosing power functions and natural logarithmic for the utility function, and using a converse of Hamilton-Jacobi-Bellman (HJB) theorem, the formula for optimal portfolio is derived.