Dissertation in Financial Risk Management

Teacher(s)

Claes Anouk;

Language

French

Learning outcomes

At the end of this learning unit, the student is able to :

The learning objectives of the dissertation will be explained during a short lecture at the start of the second term. Students will be asked to send in preliminary versions of their dissertation, on which they will receive feedback. The student has to show he is able to write a paper based on the knowledge and skills acquired during the program, which can take the form of e.g. a literature survey, a case study, an empirical research. Students need to identify the problem/research question they want to address, and need to answer the problem in the report. They have to find and describe the relevant literature within the scope of the problem. Depending on the chosen form of the dissertation, they need to collect the correct data and analyze them. They will need to find a theory/method to address the problem and will have to argument in favor (and describe the drawbacks) of the method chosen. Moreover they need to discuss the obtained results, draw conclusions and put the results in perspective in relation to the theory (and empirical data). The written report needs to be structured, comprehensive, clear and present a critical evaluation.

Content

The dissertation is a written paper of around 50 pages (excluding appendixes) analyzing an aspect of financial risk management. The student will be able to choose the subject of the paper in the domain of financial risk management.

Teaching methods

Introduction
Assignments with feedback and/or discussions

Evaluation methods

Topic proposals, preliminary projects and the dissertation will be submitted on Moodle.

1. Topic proposal based on the "Pitching Research" template:  the title of the project, together with the research question, motivation, ... and a preliminary reference list need to be formulated.
    
2.  Preliminary project contains:
    a preliminary version of the thesis (taking the feedback into account) with a preliminary literature review.

The empirical studies describe the data (descriptive statistics) and the methodology that will be used.
For the case studies: a first description of the case / the problem.
      3. The deadline for handing in the dissertation will be 
the evening before the first day of the June exam period for a defence in June.
the evening before the first day of the August exam period for a defence in August.

The evaluation will be based on the written manuscript that should not exceed 50 pages (excluding appendices). The student needs to describe the context, the problem and a proposed solution. She/he will need to motivate the choices made, his evaluation, and clearly formulate a conclusion and add (if necessary) appendices. The use of artificial intelligence to search for information, write or improve the assignment must be specified. Sources of information must be systematically cited. Students remain responsible for the content of their work, regardless of the sources used.

      4. The oral defence of the thesis
consists of a presentation of the work via Teams, followed by questions and answers.

Other information

Detailed information about the master thesis will be provided on Moodle.

Faculty or entity

> ESPB