IDEAS home Printed from https://ideas.repec.org/h/wsi/wschap/9789811297786_0018.html
   My bibliography  Save this book chapter

Portfolio Performance Measures for Sustainable Investing

In: SUSTAINABLE INVESTING Problems and Solutions

Author

Listed:
  • Anatoly B. Schmidt

Abstract

The portfolio performance measure generally used in classical finance is based on the volatility risk-adjusted return (Sharpe ratio). Unfortunately, applying this measure in sustainable investing may yield some confusion since portfolios with higher environmental, social, and governance (ESG) ratings may not outperform their ESG-neutral peers. Moreover, correlations between the corporate ESG ratings and stock returns in some portfolios can be negative. Since the ESG factors represent non-pecuniary risks, it is suggested in this work that socially responsible investors should include the ESG metrics explicitly in the portfolio performance measures. This idea is closely related to deriving optimal ESG portfolios (OESGPs) that are simultaneously optimized in terms of their return, volatility risk, and ESG value. Another important issue discussed here is that investors may prefer ESG ratings customized according to their preferences rather than simple averages of the E, S, and G categories that are offered by various ratings agencies. In this work, both problems are addressed using OESGPs formed with the constituents of nine major US equity sector Exchange-Traded Funds (ETFs). It is found that the main OESGP holdings are not very sensitive to the ESG metrics and hence can be promising leads for future investments.

Suggested Citation

  • Anatoly B. Schmidt, 2024. "Portfolio Performance Measures for Sustainable Investing," World Scientific Book Chapters, in: Anatoly B Schmidt (ed.), SUSTAINABLE INVESTING Problems and Solutions, chapter 18, pages 473-493, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789811297786_0018
    as

    Download full text from publisher

    File URL: https://www.worldscientific.com/doi/pdf/10.1142/9789811297786_0018
    Download Restriction: Ebook Access is available upon purchase.

    File URL: https://www.worldscientific.com/doi/abs/10.1142/9789811297786_0018
    Download Restriction: Ebook Access is available upon purchase.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:wschap:9789811297786_0018. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/page/worldscibooks .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.