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FINANCE RESEARCH SEMINAR

2016-2017

IESEG School of Management ( IÉSEG )

Code Cours :

1617-IÉSEG-M1S2-FIN-MA-TE23UE

FINANCE


Niveau Année de formation Période Langue d'enseignement 
Master1S2English
Professeur(s) responsable(s)J.LEFEBVRE
Intervenant(s)Luca GELSOMINI, Jérémie LEFEBVRE, Maia GEJADZE, Lakshithe WAGALATH


Pré requis

This course is the follow-up of the 'Finance Research Methodology' course given during the first semester. Students should therefore have a good knowledge of key methodological and theoretical concepts in finance, including the hypothetico-deductive research method. In addition, students should have acquired statistical skills such as those covered in the quantitative methods and econometrics courses during years 1 to 3 at IÉSEG. Other prerequisite knowledge include the ability to search for scientific literature in finance using the school's library portal. For students lacking some background, documents from previous courses will be made available.

Objectifs du cours

At the end of the course, the student should be able to:
Conduct a master’s thesis in finance using to the hypothetico-deductive research method. This includes:
-Formulate a research proposal (research question, literature review, conceptual framework and hypothesis development)
-Conduct interviews
-Determine the sample and collect appropriate data, and provide descriptive statistics
-Define coherent and relevant assumptions
-Choose and use appropriate quantitative methods to analyze the data
-Analyze and interpret empirical results
-Formulate conclusions
-Use the appropriate writing style for a master’s thesis

Contenu du cours

The course consists of working on a mini-thesis (similar to the master thesis, but smaller in scope and scale). The course is split into two groups: students who choose the 'Corporate Finance' sub-track, and those who choose the 'Asset & Risk Management' sub-track. Several lectures will guide students.
1 - Reminder about the hypothetico-deductive method, and literature review.
2 - Data collection: quantitative (databases) and qualitative (interviews)
* Corporate Finance sub-track: databaes related to company accounts and corporate decisions
* Asset & Risk Management sub-track: databases providing market data
3 - Quantitative data analysis and econometrics
* Corporate Finance sub-track: Models of discrete choice (probit/logit) and models of panel data (several companies over time)
* Asset & Risk Management sub-track: Time series models, forecasting models, and methods used in the analysis of market efficiency
4 - Writing style of a thesis.
5 - Oral defense of the mini-thesis.


Modalités d'enseignement

Organisation du cours

TypeNombre d'heuresRemarques
Face to face
Interactive class16,00  
Coaching0,50  
Tutorials5,00  
Independent work
E-Learning5,00  
Independent study
Group Project45,00  
Estimated personal workload30,00  
Charge de travail globale de l'étudiant101,50  

Méthodes pédagogiques

  • Tutorial
  • Presentation
  • E-learning
  • Project work
  • Interactive class
  • Coaching


Évaluation

The work on the mini-thesis will be assessed by a written report and various oral presentations. Other assessments include homeworks concerning the use of interviews and databases; participation grade for the coaching session and during oral presentations.

Type de ContrôleDuréeNombrePondération
Continuous assessment
Oral presentation0,00225,00
QCM0,0015,00
Participation0,00210,00
Others
Individual Project30,00140,00
Oral presentation0,00120,00
TOTAL     100,00

Bibliographie

  • Lee & Lings, Doing Business Research, SAGE. -


Ressources internet

  • IESEG Online

    The course website on ieseg-online will be used for various information and documents. It is mandatory that students be registered to the course forum as important information will be communicated through this medium.



 
* Informations non contractuelles et pouvant être soumises à modification
 
 
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