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Establishment
Language of instruction
English
Teaching content
FINANCE
This course occurs in the following program(s)
IESEG Degree - Programme Grande École
- Crédits ECTS: 4.00
Training officer(s)
N.EUGSTER
Stakeholder(s)
Nicolas EUGSTER, Jérémie LEFEBVRE, Paul ZIMMERMANN, Astrid SALZMANN, Tinghua DUAN
Présentation
Prerequisite
Knowledge of financial theories and concepts
Quantitative methods used in finance (mathematics, statistics, econometrics)
Quantitative methods used in finance (mathematics, statistics, econometrics)
Goal
Conduct a master’s thesis in finance using to the hypothetico-deductive research method. This includes:
-Master the appropriate techniques and display expertise in finance
-Establish a coherent conceptual frameworks and define relevant assumptions
-Determine and collect an appropriate sample of data, and provide descriptive statistics
-Choose and apply appropriate quantitative methods
-Analyze and interpret empirical results
-Formulate conclusions
-Use the appropriate writing style for a master’s thesis
-Perform an oral defense of the research results, and convince the audience about the objectivity and rigor of the methods used
-Master the appropriate techniques and display expertise in finance
-Establish a coherent conceptual frameworks and define relevant assumptions
-Determine and collect an appropriate sample of data, and provide descriptive statistics
-Choose and apply appropriate quantitative methods
-Analyze and interpret empirical results
-Formulate conclusions
-Use the appropriate writing style for a master’s thesis
-Perform an oral defense of the research results, and convince the audience about the objectivity and rigor of the methods used
Presentation
The course consists of working on a "mini-thesis" (similar to the master thesis, but smaller in scope and scale). The course is split in two groups: students who choose the 'Corporate Finance' sub-track, and those who choose the 'Asset & Risk Management' sub-track. Several lectures and homework will guide students.
1 - Reminder about the hypothetico-deductive method and literature review
2 - Data collection: sampling methods and extraction of data from financial databases
3 - Data cleaning and WRDS
4 - Data analysis, interpreting results, and conclusion
5 - Oral defense: first part
6 - Writing style of a thesis
7 - Oral defense of the mini-thesis
1 - Reminder about the hypothetico-deductive method and literature review
2 - Data collection: sampling methods and extraction of data from financial databases
3 - Data cleaning and WRDS
4 - Data analysis, interpreting results, and conclusion
5 - Oral defense: first part
6 - Writing style of a thesis
7 - Oral defense of the mini-thesis
Modalités
Organization
| Type | Amount of time | Comment | |
|---|---|---|---|
| Présentiel | |||
| Cours interactif | 16,00 | ||
| Coaching | 1,00 | ||
| Travaux dirigés | 6,00 | ||
| Autoformation | |||
| E-Learning | 5,00 | ||
| Lecture du manuel de référence | 12,00 | ||
| Recherche | 20,00 | ||
| Travail personnel | |||
| Group Project | 20,00 | ||
| Charge de travail personnel indicative | 20,00 | ||
| Overall student workload | 100,00 | ||
Evaluation
The main evaluation of related to the "mini-thesis" project. Other evaluations with consist of computer tutorials.
| Control type | Duration | Amount | Weighting |
|---|---|---|---|
| Contrôle continu | |||
| Présentation orale | 0,50 | 1 | 15,00 |
| Participation | 0,00 | 2 | 10,00 |
| Autres | |||
| Projet Collectif | 0,00 | 1 | 20,00 |
| Projet Individuel | 0,00 | 1 | 10,00 |
| Examen (final) | |||
| Examen oral | 0,50 | 1 | 15,00 |
| Examen écrit | 0,00 | 1 | 30,00 |
| TOTAL | 100,00 | ||