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

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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).
    4. 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.
    5. 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).
    6. 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.
    7. Bonaccolto, Giovanni & Caporin, Massimiliano & Paterlini, Sandra, 2019. "Decomposing and backtesting a flexible specification for CoVaR," Journal of Banking & Finance, Elsevier, vol. 108(C).
    8. 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.
    9. 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.
    10. Nicolas Madison & Eduardo Schiehll, 2021. "The Effect of Financial Materiality on ESG Performance Assessment," Sustainability, MDPI, vol. 13(7), pages 1-21, March.
    11. 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.
    12. Bert Scholtens & Sophie van’t Klooster, 2019. "Sustainability and bank risk," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-8, December.
    13. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    14. repec:eme:ijoes0:ijoes-09-2018-0130 is not listed on IDEAS
    15. 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.
    16. 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.
    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.
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