{"title":"投资组合权重集中:最优策略和均衡含义","authors":"Paskalis Glabadanidis","doi":"10.1108/ijmf-03-2022-0098","DOIUrl":null,"url":null,"abstract":"PurposeThe purpose of this article is to help investors build less-concentrated portfolios as well as to construct optimal return-concentration portfolios.Design/methodology/approachAn alternative portfolio objective is proposed where investors care about the level of concentration of their portfolio weights. Minimizing the concentration of portfolio weights leads to the well-known equal-weight portfolio as the optimal choice. Maximizing the trade-off between the portfolio's expected return and the weight concentration produces a novel portfolio with weights proportional to the expected return of each security.FindingsAn empirical application with 30 industry portfolios and 1,000 individual stocks finds that both proposed strategies perform well out-of-sample both in terms of the proposed concentration measure but also in terms of more traditional risk-based measures like Sharpe ratios, abnormal returns and market betas.Originality/valueThe optimal risk-concentration portfolio proposed in this paper is a novel result. The portfolio generalizes prior practitioner intuition on focusing on securities with the highest expected returns and the concept of diversification.","PeriodicalId":51698,"journal":{"name":"International Journal of Managerial Finance","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Portfolio weights concentration: optimal strategies and equilibrium implications\",\"authors\":\"Paskalis Glabadanidis\",\"doi\":\"10.1108/ijmf-03-2022-0098\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PurposeThe purpose of this article is to help investors build less-concentrated portfolios as well as to construct optimal return-concentration portfolios.Design/methodology/approachAn alternative portfolio objective is proposed where investors care about the level of concentration of their portfolio weights. Minimizing the concentration of portfolio weights leads to the well-known equal-weight portfolio as the optimal choice. Maximizing the trade-off between the portfolio's expected return and the weight concentration produces a novel portfolio with weights proportional to the expected return of each security.FindingsAn empirical application with 30 industry portfolios and 1,000 individual stocks finds that both proposed strategies perform well out-of-sample both in terms of the proposed concentration measure but also in terms of more traditional risk-based measures like Sharpe ratios, abnormal returns and market betas.Originality/valueThe optimal risk-concentration portfolio proposed in this paper is a novel result. The portfolio generalizes prior practitioner intuition on focusing on securities with the highest expected returns and the concept of diversification.\",\"PeriodicalId\":51698,\"journal\":{\"name\":\"International Journal of Managerial Finance\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2022-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Managerial Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/ijmf-03-2022-0098\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Managerial Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijmf-03-2022-0098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Portfolio weights concentration: optimal strategies and equilibrium implications
PurposeThe purpose of this article is to help investors build less-concentrated portfolios as well as to construct optimal return-concentration portfolios.Design/methodology/approachAn alternative portfolio objective is proposed where investors care about the level of concentration of their portfolio weights. Minimizing the concentration of portfolio weights leads to the well-known equal-weight portfolio as the optimal choice. Maximizing the trade-off between the portfolio's expected return and the weight concentration produces a novel portfolio with weights proportional to the expected return of each security.FindingsAn empirical application with 30 industry portfolios and 1,000 individual stocks finds that both proposed strategies perform well out-of-sample both in terms of the proposed concentration measure but also in terms of more traditional risk-based measures like Sharpe ratios, abnormal returns and market betas.Originality/valueThe optimal risk-concentration portfolio proposed in this paper is a novel result. The portfolio generalizes prior practitioner intuition on focusing on securities with the highest expected returns and the concept of diversification.
期刊介绍:
Treasury and Financial Risk Management ■Redefining, measuring and identifying new methods to manage risk for financing decisions ■The role, costs and benefits of insurance and hedging financing decisions ■The role of rating agencies in managerial decisions Investment and Financing Decision Making ■The uses and applications of forecasting to examine financing decisions measurement and comparisons of various financing options ■The public versus private financing decision ■The decision of where to be publicly traded - including comparisons of market structures and exchanges ■Short term versus long term portfolio management - choice of securities (debt vs equity, convertible vs non-convertible)