{"title":"带有乘法噪声的随机线性二次系统中的有限注意力分配","authors":"Xiangyu Cui, Jianjun Gao, Lingjie Kong","doi":"arxiv-2403.18528","DOIUrl":null,"url":null,"abstract":"This study addresses limited attention allocation in a stochastic linear\nquadratic system with multiplicative noise. Our approach enables strategic\nresource allocation to enhance noise estimation and improve control decisions.\nWe provide analytical optimal control and propose a numerical method for\noptimal attention allocation. Additionally, we apply our ffndings to dynamic\nmean-variance portfolio selection, showing effective resource allocation across\ntime periods and factors, providing valuable insights for investors.","PeriodicalId":501084,"journal":{"name":"arXiv - QuantFin - Mathematical Finance","volume":"142 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Limited Attention Allocation in a Stochastic Linear Quadratic System with Multiplicative Noise\",\"authors\":\"Xiangyu Cui, Jianjun Gao, Lingjie Kong\",\"doi\":\"arxiv-2403.18528\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study addresses limited attention allocation in a stochastic linear\\nquadratic system with multiplicative noise. Our approach enables strategic\\nresource allocation to enhance noise estimation and improve control decisions.\\nWe provide analytical optimal control and propose a numerical method for\\noptimal attention allocation. Additionally, we apply our ffndings to dynamic\\nmean-variance portfolio selection, showing effective resource allocation across\\ntime periods and factors, providing valuable insights for investors.\",\"PeriodicalId\":501084,\"journal\":{\"name\":\"arXiv - QuantFin - Mathematical Finance\",\"volume\":\"142 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuantFin - Mathematical Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2403.18528\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuantFin - Mathematical Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2403.18528","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Limited Attention Allocation in a Stochastic Linear Quadratic System with Multiplicative Noise
This study addresses limited attention allocation in a stochastic linear
quadratic system with multiplicative noise. Our approach enables strategic
resource allocation to enhance noise estimation and improve control decisions.
We provide analytical optimal control and propose a numerical method for
optimal attention allocation. Additionally, we apply our ffndings to dynamic
mean-variance portfolio selection, showing effective resource allocation across
time periods and factors, providing valuable insights for investors.