{"title":"短通信:离散时间高斯框架下的指数效用最大化","authors":"Yan Dolinsky, Or Zuk","doi":"10.1137/23m1576074","DOIUrl":null,"url":null,"abstract":"The aim of this short note is to present a solution to the discrete time exponential utility maximization problem in a case where the underlying asset has a multivariate normal distribution. In addition to the usual setting considered in mathematical finance, we also consider an investor who is informed about the risky asset’s price changes with a delay . Our method of solution is based on the theory developed in [W. Barrett and P. Feinsilver, Linear Algebra Appl., 41 (1981), pp. 111–130] and guessing the optimal portfolio.","PeriodicalId":48880,"journal":{"name":"SIAM Journal on Financial Mathematics","volume":"6 1","pages":"0"},"PeriodicalIF":1.4000,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Short Communication: Exponential Utility Maximization in a Discrete Time Gaussian Framework\",\"authors\":\"Yan Dolinsky, Or Zuk\",\"doi\":\"10.1137/23m1576074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this short note is to present a solution to the discrete time exponential utility maximization problem in a case where the underlying asset has a multivariate normal distribution. In addition to the usual setting considered in mathematical finance, we also consider an investor who is informed about the risky asset’s price changes with a delay . Our method of solution is based on the theory developed in [W. Barrett and P. Feinsilver, Linear Algebra Appl., 41 (1981), pp. 111–130] and guessing the optimal portfolio.\",\"PeriodicalId\":48880,\"journal\":{\"name\":\"SIAM Journal on Financial Mathematics\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2023-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SIAM Journal on Financial Mathematics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1137/23m1576074\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIAM Journal on Financial Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1137/23m1576074","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Short Communication: Exponential Utility Maximization in a Discrete Time Gaussian Framework
The aim of this short note is to present a solution to the discrete time exponential utility maximization problem in a case where the underlying asset has a multivariate normal distribution. In addition to the usual setting considered in mathematical finance, we also consider an investor who is informed about the risky asset’s price changes with a delay . Our method of solution is based on the theory developed in [W. Barrett and P. Feinsilver, Linear Algebra Appl., 41 (1981), pp. 111–130] and guessing the optimal portfolio.
期刊介绍:
SIAM Journal on Financial Mathematics (SIFIN) addresses theoretical developments in financial mathematics as well as breakthroughs in the computational challenges they encompass. The journal provides a common platform for scholars interested in the mathematical theory of finance as well as practitioners interested in rigorous treatments of the scientific computational issues related to implementation. On the theoretical side, the journal publishes articles with demonstrable mathematical developments motivated by models of modern finance. On the computational side, it publishes articles introducing new methods and algorithms representing significant (as opposed to incremental) improvements on the existing state of affairs of modern numerical implementations of applied financial mathematics.