IDEAS home Printed from https://ideas.repec.org/a/wly/corsem/v30y2023i3p1406-1420.html
   My bibliography  Save this article

Do lower environmental, social, and governance (ESG) rated companies have higher systemic impact? Empirical evidence from Europe and the United States

Author

Listed:
  • Karoline Bax
  • Giovanni Bonaccolto
  • Sandra Paterlini

Abstract

In recent years, companies have increasingly been characterized by environmental, social, and governance (ESG) scores, and investors and academics have raised questions concerning financial performance and investment risks. Now, as the European Banking Authority has acknowledged that ESG risks can potentially impact the economic and financial system, the debate on systemic risk has gained traction. Understanding the relationship between ESG merit and systemic risk is of utmost importance for the stability of the economic and financial system, still, research is limited. Relying on real‐world European and United Stated data, we quantify systemic risk by means of QL‐CoVaR. Empirical analyses of the entire period from 2007 to 2021 show that companies with high ESG scores tend to exhibit low QL‐CoVaR values indicating a positive effect of ESG scores. Such evidence is confirmed by clustering the individual companies into ESG portfolios and focusing on COVID‐19. Additional insights using the individual pillars are also provided.

Suggested Citation

  • Karoline Bax & Giovanni Bonaccolto & Sandra Paterlini, 2023. "Do lower environmental, social, and governance (ESG) rated companies have higher systemic impact? Empirical evidence from Europe and the United States," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(3), pages 1406-1420, May.
  • Handle: RePEc:wly:corsem:v:30:y:2023:i:3:p:1406-1420
    DOI: 10.1002/csr.2427
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/csr.2427
    Download Restriction: no

    File URL: https://libkey.io/10.1002/csr.2427?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
    ---><---

    References listed on IDEAS

    as
    1. Billio, Monica & Getmansky, Mila & Lo, Andrew W. & Pelizzon, Loriana, 2012. "Econometric measures of connectedness and systemic risk in the finance and insurance sectors," Journal of Financial Economics, Elsevier, vol. 104(3), pages 535-559.
    2. Moessner, Richhild & de Haan, Jakob, 2022. "Effects of monetary policy announcements on term premia in the euro area during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 44(C).
    3. Özge Sahin & Karoline Bax & Claudia Czado & Sandra Paterlini, 2022. "Environmental, Social, Governance scores and the Missing pillar—Why does missing information matter?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(5), pages 1782-1798, September.
    4. Cerqueti, Roy & Ciciretti, Rocco & Dalò, Ambrogio & Nicolosi, Marco, 2021. "ESG investing: A chance to reduce systemic risk," Journal of Financial Stability, Elsevier, vol. 54(C).
    5. Bonaccolto, Giovanni & Caporin, Massimiliano & Paterlini, Sandra, 2019. "Decomposing and backtesting a flexible specification for CoVaR," Journal of Banking & Finance, Elsevier, vol. 108(C).
    6. Nicolas Madison & Eduardo Schiehll, 2021. "The Effect of Financial Materiality on ESG Performance Assessment," Sustainability, MDPI, vol. 13(7), pages 1-21, March.
    7. Boubaker, Sabri & Cellier, Alexis & Manita, Riadh & Saeed, Asif, 2020. "Does corporate social responsibility reduce financial distress risk?," Economic Modelling, Elsevier, vol. 91(C), pages 835-851.
    8. Bonaccolto, Giovanni & Caporin, Massimiliano & Panzica, Roberto, 2019. "Estimation and model-based combination of causality networks among large US banks and insurance companies," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 1-21.
    9. Sim, Nicholas & Zhou, Hongtao, 2015. "Oil prices, US stock return, and the dependence between their quantiles," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 1-8.
    10. Isabelle Ducassy, 2013. "Does Corporate Social Responsibility Pay Off in Times of Crisis? An Alternate Perspective on the Relationship between Financial and Corporate Social Performance," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 20(3), pages 157-167, May.
    11. Anginer, Deniz & Demirguc-Kunt, Asli & Huizinga, Harry & Ma, Kebin, 2018. "Corporate governance of banks and financial stability," Journal of Financial Economics, Elsevier, vol. 130(2), pages 327-346.
    12. Mustafa Hakan Eratalay & Ariana Paola Cortés Ángel, 2022. "The Impact of ESG Ratings on the Systemic Risk of European Blue-Chip Firms," JRFM, MDPI, vol. 15(4), pages 1-41, March.
    13. Iulia Lupu & Gheorghe Hurduzeu & Radu Lupu, 2022. "How Is the ESG Reflected in European Financial Stability?," Sustainability, MDPI, vol. 14(16), pages 1-14, August.
    14. Bert Scholtens & Sophie van’t Klooster, 2019. "Sustainability and bank risk," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-8, December.
    15. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    16. repec:eme:ijoes0:ijoes-09-2018-0130 is not listed on IDEAS
    17. Pina Murè & Marco Spallone & Fabiomassimo Mango & Stefano Marzioni & Lucilla Bittucci, 2021. "ESG and reputation: The case of sanctioned Italian banks," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(1), pages 265-277, January.
    18. Sonali Bhattacharya & Dipasha Sharma, 2019. "Do environment, social and governance performance impact credit ratings: a study from India," International Journal of Ethics and Systems, Emerald Group Publishing Limited, vol. 35(3), pages 466-484, June.
    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. Bonaccolto, Giovanni & Caporin, Massimiliano & Maillet, Bertrand B., 2022. "Dynamic large financial networks via conditional expected shortfalls," European Journal of Operational Research, Elsevier, vol. 298(1), pages 322-336.
    2. Huang, Jionghao & Li, Ziruo & Xia, Xiaohua, 2021. "Network diffusion of international oil volatility risk in China's stock market: Quantile interconnectedness modelling and shock decomposition analysis," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1-39.
    3. Gehrig, Thomas & Iannino, Maria Chiara & Unger, Stephan, 2024. "Social responsibility and bank resiliency," Journal of Financial Stability, Elsevier, vol. 70(C).
    4. Mustafa Hakan Eratalay & Ariana Paola Cortés Ángel, 2022. "The Impact of ESG Ratings on the Systemic Risk of European Blue-Chip Firms," JRFM, MDPI, vol. 15(4), pages 1-41, March.
    5. Bonaccolto, Giovanni & Caporin, Massimiliano & Panzica, Roberto, 2019. "Estimation and model-based combination of causality networks among large US banks and insurance companies," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 1-21.
    6. Bonaccolto, Giovanni & Caporin, Massimiliano & Paterlini, Sandra, 2019. "Decomposing and backtesting a flexible specification for CoVaR," Journal of Banking & Finance, Elsevier, vol. 108(C).
    7. Bonaccolto, Giovanni & Caporin, Massimiliano & Panzica, Roberto Calogero, 2017. "Estimation and model-based combination of causality networks," SAFE Working Paper Series 165, Leibniz Institute for Financial Research SAFE.
    8. Qian, Biyu & Wang, Gang-Jin & Feng, Yusen & Xie, Chi, 2022. "Partial cross-quantilogram networks: Measuring quantile connectedness of financial institutions," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    9. Laura Garcia-Jorcano & Lidia Sanchis-Marco, 2023. "Measuring Systemic Risk Using Multivariate Quantile-Located ES Models," Journal of Financial Econometrics, Oxford University Press, vol. 21(1), pages 1-72.
    10. Junior, Peterson Owusu & Tiwari, Aviral Kumar & Padhan, Hemachandra & Alagidede, Imhotep, 2020. "Analysis of EEMD-based quantile-in-quantile approach on spot- futures prices of energy and precious metals in India," Resources Policy, Elsevier, vol. 68(C).
    11. Bouri, Elie & Gupta, Rangan & Tiwari, Aviral Kumar & Roubaud, David, 2017. "Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions," Finance Research Letters, Elsevier, vol. 23(C), pages 87-95.
    12. Chen, Bin-xia & Sun, Yan-lin, 2024. "Financial market connectedness between the U.S. and China: A new perspective based on non-linear causality networks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 90(C).
    13. Ren, Yinghua & Tan, Anqi & Zhu, Huiming & Zhao, Wanru, 2022. "Does economic policy uncertainty drive nonlinear risk spillover in the commodity futures market?," International Review of Financial Analysis, Elsevier, vol. 81(C).
    14. Iulia Lupu & Gheorghe Hurduzeu & Radu Lupu, 2022. "How Is the ESG Reflected in European Financial Stability?," Sustainability, MDPI, vol. 14(16), pages 1-14, August.
    15. Nusair, Salah A. & Olson, Dennis, 2019. "The effects of oil price shocks on Asian exchange rates: Evidence from quantile regression analysis," Energy Economics, Elsevier, vol. 78(C), pages 44-63.
    16. Bouri, Elie & Gupta, Rangan & Nel, Jacobus & Shiba, Sisa, 2022. "Contagious diseases and gold: Over 700 years of evidence from quantile regressions," Finance Research Letters, Elsevier, vol. 50(C).
    17. Sun, Yunpeng & Gao, Pengpeng & Raza, Syed Ali & Shah, Nida & Sharif, Arshian, 2023. "The asymmetric effects of oil price shocks on the world food prices: Fresh evidence from quantile-on-quantile regression approach," Energy, Elsevier, vol. 270(C).
    18. Andrieș, Alin Marius & Sprincean, Nicu, 2023. "ESG performance and banks’ funding costs," Finance Research Letters, Elsevier, vol. 54(C).
    19. Torri, Gabriele & Giacometti, Rosella & Tichý, Tomáš, 2021. "Network tail risk estimation in the European banking system," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    20. Yu, Jinna & Tang, Yuk Ming & Chau, Ka Yin & Nazar, Raima & Ali, Sajid & Iqbal, Wasim, 2022. "Role of solar-based renewable energy in mitigating CO2 emissions: Evidence from quantile-on-quantile estimation," Renewable Energy, Elsevier, vol. 182(C), pages 216-226.

    More about this item

    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:wly:corsem:v:30:y:2023:i:3:p:1406-1420. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1535-3966 .

    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.