MULTI-MOMENT PORTFOLIOS: AN INTRODUCTION (Extensive)

Code Cours
2324-IÉSEG-M1S1-FIN-MA-EE82UE
Langue d'enseignement
English
Matières
FINANCE
Responsable(s)
K.KERSTENS
Intervenant(s)
K.KERSTENS
Niveau
Master
Année de formation
Période

Présentation

Prérequis
- Basic portfolio theory course (Mean-variance Markowitz model).
- Basic optimization course (Linear Programming, Integer Programming, Non-Linear Programming).
- Basic knowledge of Excel Solver add-in.
Objectifs
The limitations of the traditional mean-variance portfolio approach are well-known, but unfortunately few alterative portfolio approaches have received widespread recognition.
The course focuses on recent attempts to include higher order moments (e.g., skewness and kurtosis) in portfolio modelling.
This course serves 3 purposes:
(i) to develop an intuitive understanding of investor preferences regarding higher moments,
(ii) the development of multi-dimensional portfolio and fund rating models,
(iii) the application of these tools and the managerial interpretation of its results.

At the end of the course, the student should be able to:
- understand higher order moments
- understand the typical results of the higher order moments portfolios
Présentation
The topics treated in the course include the following:

- MV Tradition
- Alternative Mean- Risk models
- Portfolio Performance: Need to Move Beyond MV
- Multidimensional Portfolio Performance: Adding Skewness
- Multidimensional Portfolio Performance: Multi-Horizon
- An Alternative MVS Portfolio Method: Polynomial Goal Programming (PGP)
- Problems of Traditional Performance Measures
- Mutual Fund Rating

Modalités

Organisation
Type Amount of time Comment
Présentiel
Cours interactif 16,00
Autoformation
Recherche 8,00
Travail personnel
Charge de travail personnel indicative 8,00
Overall student workload 32,00
Évaluation
- Participation in discussions and exercises (some in a team of 2): 50%
- Traditional exam with mainly multiple choice questions: 50%
Control type Duration Amount Weighting
Contrôle continu
Participation 16,00 1 30,00
Examen (final)
Examen écrit 2,00 1 35,00
Autres
Projet Collectif 2,00 1 35,00
TOTAL 100,00

Ressources

Bibliographie
Jurczenko, E., B. Maillet (eds) (2006) Multi-moment Asset Allocation and Pricing Models, New York, Wiley. -