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Lesson details

FINANCE RESEARCH METHODOLOGY
2018-2019	EnIESEG School of Management ( IÉSEG )
Class code :	1819-IÉSEG-M1S1-FIN-MA-TE52UE	FINANCE

Level	Year	Period	Language of instruction
Master	1	S1	EnEnglish

Academic responsibility	J.LEFEBVRE
Lecturer(s)	Farooq Ahmad (Paris), Fabrizio Casalin (Lille), Hicham Daher (Lille), Jérémie Lefebvre (Lille)

IÉSEG > IESEG Degree - Programme Grande École > Semester 1 > 2,00 ECTS

Prerequisites

Bachelor level knowledge related to finance (corporate finance and financial markets), as well as mathematics and econometrics.

Learning outcomes

At the end of the course, the student should be able to:
-Master the appropriate techniques and display expertise in finance (AACSB Learning Objective)
-Design a research project in finance that follows the hypothetico-deductive method
-Write a relevant problem statement for a master thesis
-Search for information from the academic literature on a given topic, and write a literature review
-Determine an appropriate conceptual framework related to the thesis topic, and formulate hypotheses that are potential solutions to the problem statement
-Empirically test financial theories using econometric methods and specialized computer software, especially:
-The Capital Asset Pricing Model and related factor models applied to stock returns
-The trade-off theory of capital structure applied to French companies

Course description

The purpose of this course is learn objectivity and rigor in writing professional reports in the fiels of finance. In practice, this course helps to prepare for the master thesis in finance.
1) What is the hypothetico-deductive research method in the field of finance?
2) What is academic literature, how to search for literature, and how to write a literature review?
3) Overview of theories in the field of corporate finance and market finance, and test the validity of these theories with real world data
4) How to define hypotheses that lead of an empirical evaluation of a research problem?

Class type

Class structure

Type of course	Numbers of hours	Comments
Face to face
Coaching	1,00
Tutorials	5,20
Interactive class	10,40
Independent work
E-Learning	1,00
Reference manual 's readings	5,00
Research	10,00
Independent study
Estimated personal workload	5,00
Group Project	12,00
Total student workload	49,60

Teaching methods

Coaching
E-learning
Interactive class
Presentation
Project work
Research
Tutorial

Assessment

The main evaluation for this course is based on group research project called the "mini-thesis". The written document and the oral presentation at the end of the semester will count for 40% of the final grade. During the course of the semester, some assignments will be asked: searching and reading academic articles and showing the progress of the work on the mini-thesis. Additional evaluations will be made in the setting of 2 computer tutorials.