Business failure models: How to incorporte causal effects ?
Müsch, Cedric
Promoteur(s) : Van Caillie, Didier
Date de soutenance : 5-sep-2022/10-sep-2022 • URL permanente : http://hdl.handle.net/2268.2/15893
Détails
Titre : | Business failure models: How to incorporte causal effects ? |
Titre traduit : | [fr] Modèles d'échec commercial : Comment intégrer les effets de causalité ? |
Auteur : | Müsch, Cedric |
Date de soutenance : | 5-sep-2022/10-sep-2022 |
Promoteur(s) : | Van Caillie, Didier |
Membre(s) du jury : | Torsin, Wouter |
Langue : | Anglais |
Nombre de pages : | 99 |
Mots-clés : | [en] causal effects, business failure, Ooghe, failure path, causality, discriminant analysis |
Discipline(s) : | Sciences économiques & de gestion > Comptabilité & audit |
Institution(s) : | Université de Liège, Liège, Belgique |
Diplôme : | Master en sciences de gestion, à finalité spécialisée en Financial Analysis and Audit |
Faculté : | Mémoires de la HEC-Ecole de gestion de l'Université de Liège |
Résumé
[fr] This research thesis deals with the question of how to incorporate causal effects into traditional business failure models, that can predict bankruptcy for a given sample.
The aim of this study is to provide a comprehensive analysis of a company’s financial construction as well as the traditional failure paths that are based thereon, before establishing a new concept for a model combining both causal and predictive modelling. The model can build a foundation for a more accurate business failure prediction.
The required analysis to obtain these results involves thorough research about core financial elements, the functionality of discriminant analysis as well as causal modelling. Moreover, a discriminant analysis is done on a sample of Belgian firms.
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