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MASTER THESIS
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ESG Activeness and Active Performance: a Performance Attribution Model of Mutual Funds

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Hoogendoorn, Olivier ULiège
Promotor(s) : Lambert, Marie ULiège
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 ULiège
Date of defense  : 2-Sep-2024/7-Sep-2024
Advisor(s) : Lambert, Marie ULiège
Committee's member(s) : Van Den Berghe, Tom 
Hardy, Céleste ULiège
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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Author

  • Hoogendoorn, Olivier ULiège Université de Liège > Master sc. gest., fin. spéc. banking & asset man.

Promotor(s)

Committee's member(s)

  • Van Den Berghe, Tom
  • Hardy, Céleste ULiège Université de Liège - ULiège > HEC Liège : UER > UER Finance et Droit : Analyse financière et finance d'entr.
    ORBi View his publications on ORBi
  • Total number of views 22
  • Total number of downloads 5










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