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Hedging carbon risk with a network approach

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  • Michele Azzone
  • Maria Chiara Pocelli
  • Davide Stocco

Abstract

Sustainable investing refers to the integration of environmental and social aspects in investors' decisions. We propose a novel methodology based on the Triangulated Maximally Filtered Graph and node2vec algorithms to construct an hedging portfolio for climate risk, represented by various risk factors, among which the CO2 and the ESG ones. The CO2 factor is strongly correlated consistently over time with the Utility sector, which is the most carbon intensive in the S&P 500 index. Conversely, identifying a group of sectors linked to the ESG factor proves challenging. As a consequence, while it is possible to obtain an efficient hedging portfolio strategy with our methodology for the carbon factor, the same cannot be achieved for the ESG one. The ESG scores appears to be an indicator too broadly defined for market applications. These results support the idea that bank capital requirements should take into account carbon risk.

Suggested Citation

  • Michele Azzone & Maria Chiara Pocelli & Davide Stocco, 2023. "Hedging carbon risk with a network approach," Papers 2311.12450, arXiv.org, revised Mar 2024.
    • Handle: RePEc:arx:papers:2311.12450
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    References listed on IDEAS

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    1. Monica Billio & Michele Costola & Iva Hristova & Carmelo Latino & Loriana Pelizzon, 2021. "Inside the ESG ratings: (Dis)agreement and performance," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(5), pages 1426-1445, September.
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