{"title":"Dual dominance: how Harry Markowitz and William Ziemba impacted portfolio management","authors":"Sébastien Lleo, Leonard C. MacLean","doi":"10.1007/s10479-024-06281-1","DOIUrl":null,"url":null,"abstract":"<div><p>Models for determining a portfolio of investment decisions in risky assets have been at the forefront of financial research for almost a century. Among the celebrated researchers are Harry Markowitz and William Ziemba. These titans devoted their working years to developing quantitative models and adapting the models to changes in financial markets and investor attitudes. This paper presents a general lens through which the Markowitz mean-variance model and the Ziemba capital growth model can be viewed. This lens is risk-sensitive stochastic control. The optimal control approach places the expected utility, mean-variance, and capital growth models in a common setting to elucidate their connection. In particular, benchmarking and risk factors, two standard refinements to control risk, are seamlessly incorporated into the stochastic control model. The solution to the risk-sensitive control problem isolates the effect of benchmarks and factors to provide insights into model-based portfolios.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"346 1","pages":"181 - 216"},"PeriodicalIF":4.4000,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Operations Research","FirstCategoryId":"91","ListUrlMain":"https://link.springer.com/article/10.1007/s10479-024-06281-1","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Models for determining a portfolio of investment decisions in risky assets have been at the forefront of financial research for almost a century. Among the celebrated researchers are Harry Markowitz and William Ziemba. These titans devoted their working years to developing quantitative models and adapting the models to changes in financial markets and investor attitudes. This paper presents a general lens through which the Markowitz mean-variance model and the Ziemba capital growth model can be viewed. This lens is risk-sensitive stochastic control. The optimal control approach places the expected utility, mean-variance, and capital growth models in a common setting to elucidate their connection. In particular, benchmarking and risk factors, two standard refinements to control risk, are seamlessly incorporated into the stochastic control model. The solution to the risk-sensitive control problem isolates the effect of benchmarks and factors to provide insights into model-based portfolios.
期刊介绍:
The Annals of Operations Research publishes peer-reviewed original articles dealing with key aspects of operations research, including theory, practice, and computation. The journal publishes full-length research articles, short notes, expositions and surveys, reports on computational studies, and case studies that present new and innovative practical applications.
In addition to regular issues, the journal publishes periodic special volumes that focus on defined fields of operations research, ranging from the highly theoretical to the algorithmic and the applied. These volumes have one or more Guest Editors who are responsible for collecting the papers and overseeing the refereeing process.