{"title":"Optimal strategies and values for monotone and classical mean-variance preferences coincide when asset prices are continuous","authors":"Jinye Du , Moris S. Strub","doi":"10.1016/j.orl.2024.107204","DOIUrl":null,"url":null,"abstract":"<div><div>We study classical and monotone mean-variance portfolio selection when asset prices are continuous under general trading constraints. Our main result is that optimal values and strategies for both objectives coincide in this setting. The only assumptions required are that asset prices are continuous and that not investing in the risky assets is an admissible strategy. We in particular do not assume existence of an optimal strategy.</div></div>","PeriodicalId":54682,"journal":{"name":"Operations Research Letters","volume":"57 ","pages":"Article 107204"},"PeriodicalIF":0.8000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Operations Research Letters","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167637724001408","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
We study classical and monotone mean-variance portfolio selection when asset prices are continuous under general trading constraints. Our main result is that optimal values and strategies for both objectives coincide in this setting. The only assumptions required are that asset prices are continuous and that not investing in the risky assets is an admissible strategy. We in particular do not assume existence of an optimal strategy.
期刊介绍:
Operations Research Letters is committed to the rapid review and fast publication of short articles on all aspects of operations research and analytics. Apart from a limitation to eight journal pages, quality, originality, relevance and clarity are the only criteria for selecting the papers to be published. ORL covers the broad field of optimization, stochastic models and game theory. Specific areas of interest include networks, routing, location, queueing, scheduling, inventory, reliability, and financial engineering. We wish to explore interfaces with other fields such as life sciences and health care, artificial intelligence and machine learning, energy distribution, and computational social sciences and humanities. Our traditional strength is in methodology, including theory, modelling, algorithms and computational studies. We also welcome novel applications and concise literature reviews.