Visualisation plan de cours
2026 / 2027
EM3E5M31
Credit Risk Management
Programme
PGE PGE5 Finance
Semestre
A
Coefficient
3
Volume horaire
Face à face : 22 H
Travail personnel indicatif : 44 H
Discipline
Finance
Nombre de places
45
Cours ouvert aux étudiants visitants
Oui
Langue d'enseignement
Anglais
Responsable
BLAZY
Liste des intervenants
| Intervenant(s) | Volume horaire | ||
|---|---|---|---|
| Régis BLAZY | regis.blazy@unistra.fr | 22 h CM |
Discipline
Finance
Descriptif
This course aims at providing a panorama of the main techniques involved in credit risk management.After having presented the context of those techniques, this module mainly focuses on the prediction tools, such as credit scoring methods (discriminant analysis).
The students are then given the opportunity to work on a real database made of bankrupt SMEs.
MAC
Optimiser et classer des données/Optimize and organize data
3 ECTS
Contribution pédagogique du cours au programme
Develop impactful management using the latest knowledge and tools in the fields of management |
|---|
| Determine a strategic and managerial vision in a complex, uncertain and changing environment |
| Evaluate sustainable managerial practices using managerial concepts and instruments as well as digital tools |
| Design solutions adapted to organizational problems by applying relevant methodologies |
Develop advanced managerial skills for responsible leadership |
| Recommend critical decision making to drive change in organizations |
Practice impactful management in a multicultural and international environment, driven by a "European mindset" |
| Communicate in a professional context in (foreign) languages, in writing and/or orally |
| Formulate solutions to organizational challenges in a multicultural and international context, driven by a "European mindset" |
Organisation pédagogique
Face-to-face
- Lectures- Tutorials
In group
- Exercises- Other : XlStat application
Interaction
- Discussions/debates- Games (educational, role play, simulation)
Objectifs pédagogiques - COGNITIVE DOMAIN
A l'issue du cours, l'étudiant(e) devrait être capable de / d'...
- Describe the legal environement of bankrupty.
- Use XLSTAT(c) software.
- Examine the quality of financial reports.
- Arrange financial ratios.
- interpret the context of credit risk management (crises, regulation, role of rating agencies).
- Discriminate between good and bad firms.
- Appraise the risk of default.
Objectifs pédagogiques - AFFECTIVE DOMAIN
A l'issue du cours, l'étudiant(e) devrait être capable de / d'...
- prepare financial ratios
- compare good and bad firms regarding their risk of default
- act as a credit risk manager (individual ratings)
- question the reliability of financial corporate reportings
Objectifs pédagogiques — Objectifs de développement durable (ODD)
ODD portés par la politique RSO de l'EM.
Plan / Sommaire
1) Understanding the context of credit risk management
- Definitions: (1) what is lending? (debt contract, collaterals), (2) what are (a) ratings, (b) credit scoring models, (c) credit risk management?
- Predicting "default" or "bankruptcy"? A short view of corporate bankruptcy systems (Europe)
- The importance of information in credit lending: main issues (adverse selection, rationing, collaterals)
- The role of rating agencies in acquiring systematic information (presentation of the main agencies)
- What does happen when ratings are wrong? (the role of the rating agencies in the 2008 financial crisis)
- The rating, as a central element of the Basel agreements (Basel 2 & 3, pillars 1 to 3).
2) Acquiring the technique of credit risk prediction (scoring)
- Introduction through a practical example: the National Banks’ scoring functions.
- Presentation of linear discriminant analysis: theory & assignments.
- Credit scoring is the central element of credit risk management (elements on: risk factors, probabilities of default, loss given default, exposure at default, correlation of defaults, etc.)
3) Managing credit scoring in "real life"
- Preparing a scoring (a question of point of view, accounts reprocessing, most common financial ratios used to build a scoring).
- Presentation of a software dedicated to discriminant analysis: XlStat©
- The students build their own credit scoring, using real corporate datasets.
- Extensions: beyond credit scoring issues (financial marketing, surveys...).
- Definitions: (1) what is lending? (debt contract, collaterals), (2) what are (a) ratings, (b) credit scoring models, (c) credit risk management?
- Predicting "default" or "bankruptcy"? A short view of corporate bankruptcy systems (Europe)
- The importance of information in credit lending: main issues (adverse selection, rationing, collaterals)
- The role of rating agencies in acquiring systematic information (presentation of the main agencies)
- What does happen when ratings are wrong? (the role of the rating agencies in the 2008 financial crisis)
- The rating, as a central element of the Basel agreements (Basel 2 & 3, pillars 1 to 3).
2) Acquiring the technique of credit risk prediction (scoring)
- Introduction through a practical example: the National Banks’ scoring functions.
- Presentation of linear discriminant analysis: theory & assignments.
- Credit scoring is the central element of credit risk management (elements on: risk factors, probabilities of default, loss given default, exposure at default, correlation of defaults, etc.)
3) Managing credit scoring in "real life"
- Preparing a scoring (a question of point of view, accounts reprocessing, most common financial ratios used to build a scoring).
- Presentation of a software dedicated to discriminant analysis: XlStat©
- The students build their own credit scoring, using real corporate datasets.
- Extensions: beyond credit scoring issues (financial marketing, surveys...).
Prérequis nécessaires
Connaissances en / Notions clés à maîtriser
- EXCEL - Statistics (probability distribution, variance, covariance, statistical tests) - Linear algebra (computation on matrixes, vectors) - Financial analysis & Corporate reportingSupports pédagogiques
Mandatory tools for the course
- Computer- Calculator
- Other :
Documents in all formats
- Photocopies- Newspaper articles
- Worksheets
Moodle platform
- Upload of class documents- Assessments
- Other : Access to tutorial videos
Software
- Other : XlStat (Excel)Additional electronic platforms
- Other : Unistra CloudAdossement à la recherche
Ce cours est adossé à la recherche.
- Research-oriented (par les méthodes)Le cours initie les étudiants aux méthodes, outils ou raisonnements de recherche (collecte/traitement de données, ateliers méthodes, exercices de protocole, etc.).
Bibliographie/références académiques
Several PDF documents uploaded on Moodle (Credit Risk Management class).Travaux de recherche de l'EM
“Building legal indexes to explain recovery rates: An analysis of the French and English bankruptcy codes”, R. Blazy, B. Chopard, N. Nigam. Journal of Banking and Finance, 2013. Vol.37, n°6, pp 1936–1959.Modalités d'évaluation
Liste des modalités d'évaluation
Evaluation finale 1
Oct-2025
Compétence mesurée
ILO1.3-PGE, ILO2.2-PGE
Seconde chance
Oct-2025
Compétence mesurée
ILO1.3-PGE, ILO2.2-PGE