Final work : Do ESG factors predict credit rating downgrades ? Evidence from S&P-rated European public companies
Zhou, Yuemin
Promoteur(s) :
Blanchard, Gildas
Date de soutenance : 15-jui-2026/27-jui-2026 • URL permanente : http://hdl.handle.net/2268.2/25413
Détails
| Titre : | Final work : Do ESG factors predict credit rating downgrades ? Evidence from S&P-rated European public companies |
| Auteur : | Zhou, Yuemin
|
| Date de soutenance : | 15-jui-2026/27-jui-2026 |
| Promoteur(s) : | Blanchard, Gildas
|
| Membre(s) du jury : | Suetens, David
|
| Langue : | Anglais |
| Nombre de pages : | 75 |
| Mots-clés : | [en] credit risk [en] IFRS9 [en] SICR [en] credit rating downgrade [en] ESG factors |
| Discipline(s) : | Sciences économiques & de gestion > Finance |
| Public cible : | Chercheurs Professionnels du domaine Etudiants |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Diplôme : | Master de spécialisation en gestion des risques financiers |
| Faculté : | Mémoires de la HEC-Ecole de gestion de l'Université de Liège |
Résumé
[fr] This study examines the relationship between environmental, social, and governance (ESG) factors and corporate credit rating downgrades, distinguishing between input‑based ESG scores and output‑based ESG metrics. Using a panel of publicly listed corporates in European developed markets rated by S&P Global, the analysis investigates whether ESG‑related variables provide incremental predictive information for downgrade risk beyond traditional financial, macroeconomic, and structural controls. The results show that output‑based indicators including CO₂ emissions, ESG controversies, and country‑level physical climate vulnerability, are consistently associated with higher downgrade likelihood, whereas commonly used input‑based ESG scores are not. Firms with missing CO₂ disclosures exhibit lower observed downgrade risk, consistent with disclosure‑driven selection effects. The study provides robust evidence that realized ESG outcomes contain relevant information for downgrade risk, with implications for credit risk assessment and IFRS 9 SICR frameworks.
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