{"title":"Forming ESG-Oriented Portfolios: A Popularity Approach","authors":"Thomas M. Idzorek, P. Kaplan","doi":"10.3905/joi.2022.31.4.063","DOIUrl":null,"url":null,"abstract":"Key theories of financial economics seem to be at odds with one another and with observed personalized portfolios. The Popularity Asset Pricing Model serves as a unifying theory by allowing for both rational and irrational investors, individual risk and return expectations, a multitude of pecuniary and non-pecuniary characteristics to impact asset prices, and investors to derive utility from non-pecuniary characteristics. The authors develop a benchmark-relative fund-of-funds alpha-tracking error utility function that directly incorporates an investor’s non-pecuniary preferences, including environmental, social, and governance–oriented preferences. Maximizing the utility function leads to a personalized portfolio that tilt toward characteristics that the investor likes and away from characteristics the investor dislikes while maximizing alpha and minimizing tracking error.","PeriodicalId":45504,"journal":{"name":"Journal of Investing","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2022-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Investing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3905/joi.2022.31.4.063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 3
Abstract
Key theories of financial economics seem to be at odds with one another and with observed personalized portfolios. The Popularity Asset Pricing Model serves as a unifying theory by allowing for both rational and irrational investors, individual risk and return expectations, a multitude of pecuniary and non-pecuniary characteristics to impact asset prices, and investors to derive utility from non-pecuniary characteristics. The authors develop a benchmark-relative fund-of-funds alpha-tracking error utility function that directly incorporates an investor’s non-pecuniary preferences, including environmental, social, and governance–oriented preferences. Maximizing the utility function leads to a personalized portfolio that tilt toward characteristics that the investor likes and away from characteristics the investor dislikes while maximizing alpha and minimizing tracking error.