{"title":"凯利准则:风险管理中的优化决策","authors":"None Andrew Chen","doi":"10.61173/6s089240","DOIUrl":null,"url":null,"abstract":"The Kelly capital growth investment criterion, or Kelly criterion, defines the fraction of wealth to invest in a favorable investment opportunity such that the exponential growth rate is maximized. Maximizing the exponential growth rate is equivalent to maximizing logarithmic utility.[1] It all began in the mid-20th century when John L. Kelly Jr., a researcher at Bell Labs, developed the criterion as a solution to a problem related to the efficient transmission of information in telecommunications. Kelly introduced the concept of the Kelly Criterion within his paper “A New Interpretation of Information Rate,” which he published in his early years. However, he did not refer to the Kelly Criterion by its now- known name. The Kelly Criterion initially gained recognition in academic and mathematical circles, primarily for its applications in information theory. Then, professional gamblers and investors started using the Kelly Criterion to manage their bankrolls and make more informed betting decisions. The financial industry also embraced the Kelly Criterion as an alternative approach to portfolio management and investment strategies. The Kelly Criterion gained further attention in investment circles, particularly in hedge funds and wealth management.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Kelly Criterion: Optimizing Decision-Making in Risk Management\",\"authors\":\"None Andrew Chen\",\"doi\":\"10.61173/6s089240\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Kelly capital growth investment criterion, or Kelly criterion, defines the fraction of wealth to invest in a favorable investment opportunity such that the exponential growth rate is maximized. Maximizing the exponential growth rate is equivalent to maximizing logarithmic utility.[1] It all began in the mid-20th century when John L. Kelly Jr., a researcher at Bell Labs, developed the criterion as a solution to a problem related to the efficient transmission of information in telecommunications. Kelly introduced the concept of the Kelly Criterion within his paper “A New Interpretation of Information Rate,” which he published in his early years. However, he did not refer to the Kelly Criterion by its now- known name. The Kelly Criterion initially gained recognition in academic and mathematical circles, primarily for its applications in information theory. Then, professional gamblers and investors started using the Kelly Criterion to manage their bankrolls and make more informed betting decisions. The financial industry also embraced the Kelly Criterion as an alternative approach to portfolio management and investment strategies. The Kelly Criterion gained further attention in investment circles, particularly in hedge funds and wealth management.\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2023-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.61173/6s089240\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.61173/6s089240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
摘要
凯利资本增长投资标准,或凯利标准,定义了投资于有利投资机会的财富比例,从而使指数增长率最大化。最大化指数增长率等同于最大化对数效用。[1]这一切始于20世纪中期,当时贝尔实验室(Bell Labs)的研究员小约翰·l·凯利(John L. Kelly Jr.)提出了这一标准,以解决与电信信息高效传输有关的问题。凯利早年发表的论文《信息率的新解释》(A New Interpretation of Information Rate)中介绍了凯利标准的概念。然而,他并没有提到凯利标准的现在已知的名称。凯利标准最初在学术界和数学界获得认可,主要是因为它在信息论中的应用。然后,职业赌徒和投资者开始使用凯利标准来管理他们的资金,并做出更明智的投注决定。金融业也将凯利标准作为投资组合管理和投资策略的替代方法。凯利标准在投资界得到了进一步的关注,尤其是在对冲基金和财富管理领域。
The Kelly Criterion: Optimizing Decision-Making in Risk Management
The Kelly capital growth investment criterion, or Kelly criterion, defines the fraction of wealth to invest in a favorable investment opportunity such that the exponential growth rate is maximized. Maximizing the exponential growth rate is equivalent to maximizing logarithmic utility.[1] It all began in the mid-20th century when John L. Kelly Jr., a researcher at Bell Labs, developed the criterion as a solution to a problem related to the efficient transmission of information in telecommunications. Kelly introduced the concept of the Kelly Criterion within his paper “A New Interpretation of Information Rate,” which he published in his early years. However, he did not refer to the Kelly Criterion by its now- known name. The Kelly Criterion initially gained recognition in academic and mathematical circles, primarily for its applications in information theory. Then, professional gamblers and investors started using the Kelly Criterion to manage their bankrolls and make more informed betting decisions. The financial industry also embraced the Kelly Criterion as an alternative approach to portfolio management and investment strategies. The Kelly Criterion gained further attention in investment circles, particularly in hedge funds and wealth management.