This paper investigates the impact of climate risk on the stability of the European financial system, with a particular focus on both transition and physical risk dimensions. Given the long-term and uncertain nature of climate-related risks, traditional econometric methods often fall short in capturing their systemic implications. To address this challenge, we develop a scenario-based framework grounded in realistic projections consistent to the theoretical framework of the Network for Greening the Financial System ("NGFS"), encompassing three climate pathways: orderly transition, disorderly transition, and hot house world. We model the relationship between climate risk drivers, European companies, and the financial system using vine copulas, enabling a flexible representation of complex dependencies. The effects of these scenarios on financial institutions are evaluated through key risk metrics (expected return, value at risk, and expected shortfall) conditioned on each climate scenario. Our results offer insights into how climate transition risks propagate through the financial system, with practical implications for financial stability assessment and systemic risk management. The primary contribution lies in integrating both transition and physical climate risks into a coherent and tractable risk assessment framework, offering valuable tools for policymakers, regulators, and financial practitioners. Results show a significant dependence of European financial system to brown companies and, thus, sizable losses in the disorderly transition scenario.

(2026). Assessing climate risk on the European financial system: a multi-scenario Analysis [journal article - articolo]. In ANNALS OF OPERATIONS RESEARCH. Retrieved from https://hdl.handle.net/10446/320105

Assessing climate risk on the European financial system: a multi-scenario Analysis

Giacchetta, Gianandrea;Giacometti, Rosella;Torri, Gabriele
2026-02-07

Abstract

This paper investigates the impact of climate risk on the stability of the European financial system, with a particular focus on both transition and physical risk dimensions. Given the long-term and uncertain nature of climate-related risks, traditional econometric methods often fall short in capturing their systemic implications. To address this challenge, we develop a scenario-based framework grounded in realistic projections consistent to the theoretical framework of the Network for Greening the Financial System ("NGFS"), encompassing three climate pathways: orderly transition, disorderly transition, and hot house world. We model the relationship between climate risk drivers, European companies, and the financial system using vine copulas, enabling a flexible representation of complex dependencies. The effects of these scenarios on financial institutions are evaluated through key risk metrics (expected return, value at risk, and expected shortfall) conditioned on each climate scenario. Our results offer insights into how climate transition risks propagate through the financial system, with practical implications for financial stability assessment and systemic risk management. The primary contribution lies in integrating both transition and physical climate risks into a coherent and tractable risk assessment framework, offering valuable tools for policymakers, regulators, and financial practitioners. Results show a significant dependence of European financial system to brown companies and, thus, sizable losses in the disorderly transition scenario.
articolo
7-feb-2026
Giacchetta, Gianandrea; Giacometti, Rosella; Torri, Gabriele
(2026). Assessing climate risk on the European financial system: a multi-scenario Analysis [journal article - articolo]. In ANNALS OF OPERATIONS RESEARCH. Retrieved from https://hdl.handle.net/10446/320105
File allegato/i alla scheda:
File Dimensione del file Formato  
giacometti, Giacchetta , torri.pdf

accesso aperto

Versione: publisher's version - versione editoriale
Licenza: Creative commons
Dimensione del file 2.57 MB
Formato Adobe PDF
2.57 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/320105
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact