Analyzing the Performance of ESG Factors in a Mixed Asset setting

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Title: Analyzing the Performance of ESG Factors in a Mixed Asset setting
Authors: Hoepner, Andreas
Permanent link: http://hdl.handle.net/10197/10605
Date: 2-Oct-2018
Online since: 2019-05-22T09:49:56Z
Abstract: Analyzing ESG factor impacts is commonplace for equity portfolios but much less common in fixed income. This article describes the results of research done using financial data science analysis, which integrates environmental, social, and governance (ESG) issues into a mixed asset universe in which equity and fixed-income securities are examined in one analytical setting. I differentiate “mixed assets” from “multi-asset,” because the latter builds asset class portfolios and then integrates them during the asset allocation process, whereas the former analyzes securities or various asset classes in one (mixed) analytical setting. In other words, multi-asset approaches usually involve at least three steps: a security selection process in the first asset class, another security selection process in the second asset class, and an asset allocation process between asset classes. Mixed assets, in contrast, combine security selection and asset allocation in one step, which implies that they require more statistical expertise to design but are more resource efficient to implement once developed.
Type of material: Book Chapter
Publisher: CFA Institute Research Foundation
Series/Report no.: Research Foundation Books 25 October 2018 Volume 4 Issue 7
Copyright (published version): 2018 The CFA Institute Research Foundation
Keywords: AssetsMixed assetsEnvironmental, social and governance (ESG) factorsEquityInvestment portfolioInvestors
Other versions: http://www.cfainstitute.org/en/research/foundation/2018/mainstreaming-sustainable-investing
Language: en
Status of Item: Not peer reviewed
Is part of: Greis, M.J. (ed.). Mainstreaming Sustainable Investing
ISBN: 978-1-944960-63-6
Appears in Collections:Business Research Collection

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