Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
5 credits
30.0 h
Q2
This learning unit is not being organized during year 2019-2020.
Teacher(s)
Ghysels Eric;
Language
English
Prerequisites
- Econometrics, Finance and Fundamental mathematical and statistical concepts. Concepts covered in courses such as the ones listed below should be known.
- Econométrie [ LECGE1316 ]
- Mathématiques en économie et gestion I [ LECGE1112 ]
- Mathématiques en économie et gestion II [ LECGE1230 ]
- Statistique en économie et gestion I [ LECGE1114 ]
- Finance [ LECGE1332 ]
Main themes
The course will cover the following topics: Financial instruments, Risk-return Relationship, Capital Market line, Markowitz, Index Models, CAPM, APT, Equity Valuation, Efficient Market Hypothesis, Behavioral Finance and Empirical facts on Security Returns, Bond prices and Yield, Term Structure and Managing a Bond Portfolio, Mutual Funds selection, Hedge Funds, RE Investing and Private Equity, Portfolio Performance Evaluation; Theory of Active Management; Investment Policy.
Aims
At the end of this learning unit, the student is able to : | |
| 1 |
During their programme, students of the LSM Master's in management or Master's in Business engineering will have developed the following capabilities' KNOWLEDGE AND REASONING 2.2 Master highly specific knowledge in one or two areas of management: advanced and current research-based knowledge and methods. A SCIENTIFIC AND SYSTEMATIC APPROACH 3.3 Consider problems using a systemic and holistic approach: recognize the different aspects of the situation and their interactions in a dynamic process. WORK EFFECTIVELY IN AN INTERNATIONAL AND MULTICULTURAL ENVIRONMENT 5.2 Understand the international socio-economic dimensions of an organization and identify the associated strategic issues and operational decisions. TEAMWORK AND LEADERSHIP 6.1 Join in and collaborate with team members. Be open and take into consideration the different points of view and ways of thinking, manage differences and conflicts constructively, accept diversity. |
The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Content
The course introduces theoretical and practical concepts related to:
- dynamic factor models
- large scale data management
- mixed frequancy financial econometrics
- financial applications
Teaching methods
Lectures, workshops led by industry experts, assignments
Evaluation methods
Final exam, assignment
Faculty or entity
CLSM
