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Prédiction de faillite: Application de deux modèles de prédiction de faillite sur des entreprises belges

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Chekroun, Iliass ULiège
Promotor(s) : Van Caillie, Didier ULiège
Date of defense : 6-Sep-2016/12-Sep-2016 • Permalink : http://hdl.handle.net/2268.2/1809
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Title : Prédiction de faillite: Application de deux modèles de prédiction de faillite sur des entreprises belges
Translated title : [fr] Prédiction de faillite: Application de deux modèles de prédiction de faillite sur des entreprises belges
Author : Chekroun, Iliass ULiège
Date of defense  : 6-Sep-2016/12-Sep-2016
Advisor(s) : Van Caillie, Didier ULiège
Committee's member(s) : Sougné, Danielle ULiège
Surlemont, Bernard ULiège
Language : French
Discipline(s) : Business & economic sciences > General management & organizational theory
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en ingénieur de gestion, à finalité spécialisée en Performance Management and Control
Faculty: Master thesis of the HEC-Ecole de gestion de l'Université de Liège

Abstract

[en] The major objective of this thesis is to provide useful and practical information that could be used by economic actors. The main goal is to assess whether two theoretical models could be used in order to predict bankruptcy. We have divided this work into two distinct parts.

In the first part of this work, we will focus more on the theoretical aspects. Firstly, we will define a few key concepts that will be extensively used throughout our thesis. Secondly, we will summarize the main researches that have been done regarding this field of study. Finally, we will develop two bankruptcy prediction models (Model Beaver (1966) and the model of Van Caillie (2005)), which will be implemented into the second half of the work.

In the second part of the thesis, we will move on to its practical side. We will select a hundred companies (fifty that went bankrupt and fifty that didn’t go bankrupt) on which we will apply both models. On this basis, we will evaluate the relative effectiveness of those and try to determine which model is the most predictive and what are the main reasons that lead to bankruptcy.


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Access TFE Final complet 21.pdf
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Format: Adobe PDF

Author

  • Chekroun, Iliass ULiège Université de Liège > Master ingé. gest., fin. spéc. perf. mana. & con (ex 2e ma.)

Promotor(s)

Committee's member(s)

  • Sougné, Danielle ULiège Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > Gestion financière et consolidation
    ORBi View his publications on ORBi
  • Surlemont, Bernard ULiège Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > Gestion internationale - Entrepreneuriat
    ORBi View his publications on ORBi
  • Total number of views 60
  • Total number of downloads 18










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