{"title":"现代和后现代投资组合理论在金钱投注中的应用","authors":"D. Harville","doi":"10.1515/jqas-2021-0107","DOIUrl":null,"url":null,"abstract":"Abstract Modern and post-modern portfolio theory were devised by Harry Markowitz (among others) for purposes of allocating some monetary resources among a number of financial assets so as to strike a suitable balance between risk and expected return. The problem it addresses bears a considerable resemblance to one encountered in making “moneyline” bets on the outcomes of contests in sports like American football. In distributing some allotted funds among a number of such bets, it may be desired to account for the risk. By introducing suitable modifications, the procedures employed in modern and post-modern portfolio theory for the allocation of resources among financial assets can be adapted for use in the distribution of funds among multiple bets. As in the case of financial assets, the most appropriate measures of risk are ones like the semi-deviation or semi-variance that penalize only negative or below-target returns. The various procedures are illustrated and compared by applying them retrospectively to moneyline bets on the outcomes of the college football “bowl” games from the 2020 season.","PeriodicalId":16925,"journal":{"name":"Journal of Quantitative Analysis in Sports","volume":"7 1","pages":"73 - 89"},"PeriodicalIF":1.1000,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modern and post-modern portfolio theory as applied to moneyline betting\",\"authors\":\"D. Harville\",\"doi\":\"10.1515/jqas-2021-0107\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Modern and post-modern portfolio theory were devised by Harry Markowitz (among others) for purposes of allocating some monetary resources among a number of financial assets so as to strike a suitable balance between risk and expected return. The problem it addresses bears a considerable resemblance to one encountered in making “moneyline” bets on the outcomes of contests in sports like American football. In distributing some allotted funds among a number of such bets, it may be desired to account for the risk. By introducing suitable modifications, the procedures employed in modern and post-modern portfolio theory for the allocation of resources among financial assets can be adapted for use in the distribution of funds among multiple bets. As in the case of financial assets, the most appropriate measures of risk are ones like the semi-deviation or semi-variance that penalize only negative or below-target returns. The various procedures are illustrated and compared by applying them retrospectively to moneyline bets on the outcomes of the college football “bowl” games from the 2020 season.\",\"PeriodicalId\":16925,\"journal\":{\"name\":\"Journal of Quantitative Analysis in Sports\",\"volume\":\"7 1\",\"pages\":\"73 - 89\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2023-02-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Quantitative Analysis in Sports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/jqas-2021-0107\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"SOCIAL SCIENCES, MATHEMATICAL METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Quantitative Analysis in Sports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/jqas-2021-0107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"SOCIAL SCIENCES, MATHEMATICAL METHODS","Score":null,"Total":0}
Modern and post-modern portfolio theory as applied to moneyline betting
Abstract Modern and post-modern portfolio theory were devised by Harry Markowitz (among others) for purposes of allocating some monetary resources among a number of financial assets so as to strike a suitable balance between risk and expected return. The problem it addresses bears a considerable resemblance to one encountered in making “moneyline” bets on the outcomes of contests in sports like American football. In distributing some allotted funds among a number of such bets, it may be desired to account for the risk. By introducing suitable modifications, the procedures employed in modern and post-modern portfolio theory for the allocation of resources among financial assets can be adapted for use in the distribution of funds among multiple bets. As in the case of financial assets, the most appropriate measures of risk are ones like the semi-deviation or semi-variance that penalize only negative or below-target returns. The various procedures are illustrated and compared by applying them retrospectively to moneyline bets on the outcomes of the college football “bowl” games from the 2020 season.
期刊介绍:
The Journal of Quantitative Analysis in Sports (JQAS), an official journal of the American Statistical Association, publishes timely, high-quality peer-reviewed research on the quantitative aspects of professional and amateur sports, including collegiate and Olympic competition. The scope of application reflects the increasing demand for novel methods to analyze and understand data in the growing field of sports analytics. Articles come from a wide variety of sports and diverse perspectives, and address topics such as game outcome models, measurement and evaluation of player performance, tournament structure, analysis of rules and adjudication, within-game strategy, analysis of sporting technologies, and player and team ranking methods. JQAS seeks to publish manuscripts that demonstrate original ways of approaching problems, develop cutting edge methods, and apply innovative thinking to solve difficult challenges in sports contexts. JQAS brings together researchers from various disciplines, including statistics, operations research, machine learning, scientific computing, econometrics, and sports management.