ESG Activeness and Active Performance: a Performance Attribution Model of Mutual Funds
Hoogendoorn, Olivier
Promoteur(s) : Lambert, Marie
Date de soutenance : 2-sep-2024/7-sep-2024 • URL permanente : http://hdl.handle.net/2268.2/21282
Détails
Titre : | ESG Activeness and Active Performance: a Performance Attribution Model of Mutual Funds |
Titre traduit : | [fr] ACTIVITE ESG ET PERFORMANCE ACTIVE : UN MODELE D'ATTRIBUTION DE LA PERFORMANCE DES FONDS COMMUNS DE PLACEMENT |
Auteur : | Hoogendoorn, Olivier |
Date de soutenance : | 2-sep-2024/7-sep-2024 |
Promoteur(s) : | Lambert, Marie |
Membre(s) du jury : | Van Den Berghe, Tom
Hardy, Céleste |
Langue : | Anglais |
Nombre de pages : | 61 |
Mots-clés : | [en] ESG [en] ESG Activeness [en] Mutual Funds [en] Performance Attribution [en] Regression [en] Morningstar Sustainability Rating [en] SRI |
Discipline(s) : | Sciences économiques & de gestion > Finance |
Intitulé du projet de recherche : | ESG ACTIVENESS AND ACTIVE PERFORMANCE: A PERFORMANCE ATTRIBUTION MODEL OF MUTUAL FUNDS |
Public cible : | Chercheurs Professionnels du domaine Etudiants Grand public |
Institution(s) : | Université de Liège, Liège, Belgique |
Diplôme : | Master en sciences de gestion, à finalité spécialisée en Banking and Asset Management |
Faculté : | Mémoires de la HEC-Ecole de gestion de l'Université de Liège |
Résumé
[en] This study investigates the relationship between the ESG Activeness and the financial performance of mutual funds, introducing a novel metric called "ESG Activeness" to measure the degree of deviation between a fund's ESG ratings and those of its benchmark. Furthermore, the tracking difference of the Morningstar Sustainability Rating for the period of analysis is used. Using a sample of European mutual funds domiciled in Luxembourg, the study applies the Fama-French three-factor model, augmented with the ESG Activeness metric, to assess the impact of ESG considerations on fund returns. The analysis includes both an initial sample consisting of 102 funds and an adapted sample, with the latter focusing on funds with a positive MSR tracking difference and high ESG Activeness. The results indicate that while ESG Activeness does not have a statistically significant impact on performance in either sample, traditional market factors such as the market excess return (Mrkt_Rf_t) and size (SMB_t) remain significant predictors. The adapted sample shows a negative relationship between a positive MSR tracking difference and funds’ returns. This research contributes to the growing body of literature on sustainable investing, offering new insights into how active ESG management influences fund performance.
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