IDEAS home Printed from https://ideas.repec.org/a/spr/operea/v25y2025i2d10.1007_s12351-025-00907-3.html
   My bibliography  Save this article

ESG-driven optimal portfolio selection for separated environmental, social, and governance preferences

Author

Listed:
  • Tomer Shushi

    (Ben-Gurion University of the Negev)

Abstract

We propose and examine the optimal portfolio selection problem when the investor has different preferences in each of the portfolio’s environmental, social, and governance (ESG) average scores. We provide an explicit formula for the optimal weights in the case of the mean-variance model subject to the E, S, and G constraints and show that the same formula also holds in the case of other models that minimize a risk measure of the portfolio, with focusing on the tail-value-at-risk measure. We show that such models that go beyond the mean-variance model have the same formula for the optimal weight but with an effective risk aversion parameter that depends on the E, S, and G preferences of the investor, unlike in the original mean-variance model where the risk aversion is an external parameter. We then provide some numerical illustrations based on ten stocks from the NASDAQ, which offers clear guidance for allocating the portfolio between the different stocks and shows how each stock is sensitive to changes in the E, S, and G constraints.

Suggested Citation

  • Tomer Shushi, 2025. "ESG-driven optimal portfolio selection for separated environmental, social, and governance preferences," Operational Research, Springer, vol. 25(2), pages 1-12, June.
    • Handle: RePEc:spr:operea:v:25:y:2025:i:2:d:10.1007_s12351-025-00907-3
    DOI: 10.1007/s12351-025-00907-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12351-025-00907-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12351-025-00907-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Jan De Spiegeleer & Stephan Höcht & Daniel Jakubowski & Sofie Reyners & Wim Schoutens, 2023. "ESG: a new dimension in portfolio allocation," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 13(2), pages 827-867, April.
    2. Pedersen, Lasse Heje & Fitzgibbons, Shaun & Pomorski, Lukasz, 2021. "Responsible investing: The ESG-efficient frontier," Journal of Financial Economics, Elsevier, vol. 142(2), pages 572-597.
    3. Hamza Hanbali & Daniël Linders & Jan Dhaene, 2023. "Value-at-Risk, Tail Value-at-Risk and upper tail transform of the sum of two counter-monotonic random variables," Scandinavian Actuarial Journal, Taylor & Francis Journals, vol. 2023(3), pages 219-243, March.
    4. Landsman, Zinoviy & Makov, Udi & Shushi, Tomer, 2016. "Tail conditional moments for elliptical and log-elliptical distributions," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 179-188.
    5. Roorda, Berend & Schumacher, J.M., 2007. "Time consistency conditions for acceptability measures, with an application to Tail Value at Risk," Insurance: Mathematics and Economics, Elsevier, vol. 40(2), pages 209-230, March.
    6. Z. Landsman & U. Makov & T. Shushi, 2020. "Portfolio Optimization by a Bivariate Functional of the Mean and Variance," Journal of Optimization Theory and Applications, Springer, vol. 185(2), pages 622-651, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shi, Chunpei & Wei, Yu & Zheng, Yihe & Wang, Zhuo & Wang, Qian, 2024. "Is ESG investment rewarded or just doing good? Evidence from China," International Review of Economics & Finance, Elsevier, vol. 96(PC).
    2. Michalski, Lachlan & Low, Rand Kwong Yew, 2024. "Determinants of corporate credit ratings: Does ESG matter?," International Review of Financial Analysis, Elsevier, vol. 94(C).
    3. Elisa Bocchialini & Demetrio Miloslavo Bova & Ilaria Colivicchi & Federica Ielasi, 2024. "Environmental-, Social-, and Governance-Oriented Pension Funds for Young Contributors: A Win–Win Option," Sustainability, MDPI, vol. 16(24), pages 1-19, December.
    4. Michela Scatigna & Dora Xia & Anna Zabai & Omar Zulaica, 2021. "Achievements and challenges in ESG markets," BIS Quarterly Review, Bank for International Settlements, December.
    5. Cortez, Maria Céu & Andrade, Nuno & Silva, Florinda, 2022. "The environmental and financial performance of green energy investments: European evidence," Ecological Economics, Elsevier, vol. 197(C).
    6. Tan, Yeng-May & Szulczyk, Kenneth & Sii, Yew-Hei, 2023. "Performance of ESG-integrated smart beta strategies in Asia-Pacific stock markets," Research in International Business and Finance, Elsevier, vol. 66(C).
    7. Xueying Yuan & Lixia Shang & Jinhua Xu, 2024. "Green Financial Policy, Resource Allocation and Corporate Environmental Responsibility," Sustainability, MDPI, vol. 16(15), pages 1-29, July.
    8. Ciciretti, Rocco & Dalò, Ambrogio & Dam, Lammertjan, 2023. "The contributions of betas versus characteristics to the ESG premium," Journal of Empirical Finance, Elsevier, vol. 71(C), pages 104-124.
    9. Wang, Xiaoteng & Zhou, Bole & Li, Xiaoling, 2025. "Qualified foreign institutional investors and corporate ESG performance: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 101(C).
    10. Kirschenmann Karolin, 2022. "The EU Taxonomy’s (Potential) Effects on the Banking Sector and Bank Lending to Firms," The Economists' Voice, De Gruyter, vol. 19(2), pages 275-283, December.
    11. Zhenyu Zhu & Yixiang Tian & Xiaoying Zhao & Huiling Huang, 2025. "Green Washing, Green Bond Issuance, and the Pricing of Carbon Risk: Evidence from A-Share Listed Companies," Sustainability, MDPI, vol. 17(11), pages 1-23, May.
    12. Draganac, Dragana & Lu, Kelin, 2025. "Pricing asset beyond financial fundamentals: The impact of prosocial preference and image concerns," Journal of Economic Dynamics and Control, Elsevier, vol. 170(C).
    13. Ferriani, Fabrizio, 2023. "Issuing bonds during the Covid-19 pandemic: Was there an ESG premium?," International Review of Financial Analysis, Elsevier, vol. 88(C).
    14. Döttling, Robin & Lam, Adrian, 2023. "Does Monetary Policy Shape the Path to Carbon Neutrality?," OSF Preprints kqdar, Center for Open Science.
    15. Qinyu Wu & Fan Yang & Ping Zhang, 2023. "Conditional generalized quantiles based on expected utility model and equivalent characterization of properties," Papers 2301.12420, arXiv.org.
    16. Jorge M. Uribe, 2023. ""Fiscal crises and climate change"," IREA Working Papers 202303, University of Barcelona, Research Institute of Applied Economics, revised Feb 2023.
    17. Torsten Ehlers & Ulrike Elsenhuber & Kumar Jegarasasingam & Eric Jondeau, 2022. "Deconstructing ESG Scores: How to Invest with Your own Criteria," Swiss Finance Institute Research Paper Series 22-23, Swiss Finance Institute.
    18. Tan, Yafei & Zhu, Zhaohui, 2022. "The effect of ESG rating events on corporate green innovation in China: The mediating role of financial constraints and managers' environmental awareness," Technology in Society, Elsevier, vol. 68(C).
    19. Dunbar, Kwamie & Treku, Daniel & Sarnie, Robert & Hoover, Jack, 2023. "What does ESG risk premia tell us about mutual fund sustainability levels: A difference-in-differences analysis," Finance Research Letters, Elsevier, vol. 57(C).
    20. Wang, Jianli & Wang, Shaolin & Dong, Minghua & Wang, Hongxia, 2024. "ESG rating disagreement and stock returns: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 91(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spr:operea:v:25:y:2025:i:2:d:10.1007_s12351-025-00907-3. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.