ESG Activeness and Active Performance: a Performance Attribution Model of Mutual Funds
Hoogendoorn, Olivier
Promotor(s) : Lambert, Marie
Date of defense : 2-Sep-2024/7-Sep-2024 • Permalink : http://hdl.handle.net/2268.2/21282
Details
Title : | ESG Activeness and Active Performance: a Performance Attribution Model of Mutual Funds |
Translated title : | [fr] ACTIVITE ESG ET PERFORMANCE ACTIVE : UN MODELE D'ATTRIBUTION DE LA PERFORMANCE DES FONDS COMMUNS DE PLACEMENT |
Author : | Hoogendoorn, Olivier |
Date of defense : | 2-Sep-2024/7-Sep-2024 |
Advisor(s) : | Lambert, Marie |
Committee's member(s) : | Van Den Berghe, Tom
Hardy, Céleste |
Language : | English |
Number of pages : | 61 |
Keywords : | [en] ESG [en] ESG Activeness [en] Mutual Funds [en] Performance Attribution [en] Regression [en] Morningstar Sustainability Rating [en] SRI |
Discipline(s) : | Business & economic sciences > Finance |
Name of the research project : | ESG ACTIVENESS AND ACTIVE PERFORMANCE: A PERFORMANCE ATTRIBUTION MODEL OF MUTUAL FUNDS |
Target public : | Researchers Professionals of domain Student General public |
Institution(s) : | Université de Liège, Liège, Belgique |
Degree: | Master en sciences de gestion, à finalité spécialisée en Banking and Asset Management |
Faculty: | Master thesis of the HEC-Ecole de gestion de l'Université de Liège |
Abstract
[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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