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GLOBAL ASSET ALLOCATION

2018-2019

EnIESEG School of Management ( IÉSEG )

Class code :

1819-IÉSEG-M1S1-FIN-MA-EI87UE

FINANCE


Level Year Period Language of instruction 
Master1S1EnEnglish
Academic responsibilityJ.LEFEBVRE
Lecturer(s)Xavier TAVARD


Prerequisites

PORTFOLIO MANAGEMENT AND ANALYSIS (strict)
ACTIVE PORTFOLIO MANAGEMENT: INVESTMENT SIMULATION (strict)

Learning outcomes

- Explain the central role of the asset allocation within the investment process
- Design a consistent and client-specific strategic asset allocation for the long-run using the Mean-variance Analysis framework. See limitations of the approach and avoid frequent pitfalls when collecting and manipulating historical data
- Formulate long-term expectations about returns for major asset classes, relating asset pricing models to macroeconomic factors
- Identify phases of the business cycle which are commonly supportive to each asset classes
- Exploit the benefit of a geographical, sector or style segmentation, especially when managing a global and diversified portfolio

Course description

Empirical surveys periodically highlight the dominance of the asset class allocation as a contributor of performance over the long-run, far ahead of other investment skills such as stock picking or market timing. The course will explore how to develop a robust asset allocation, formulating and justifying recommendations to comply with the client requirement and practise in manipulating data (market prices & macroeconomic data), using application tools (optimizers, multilinear regression models):
Part 1 - Mean-Variance framework & Historical Returns approach : Recall & application through a practical case study.
Part 2 - Conditional Returns approach : modelling long-term expected returns and risk premiums using macroeconomic factors
Part 3 - Short-term Adjustment of the asset allocation to grab the positive influences of business cycles on each specific asset class
Part 4 - Extension to a global investment portfolio


Class type

Class structure

Type of courseNumbers of hoursComments
Face to face
Interactive class4,00  
Coaching4,00   Collect market and fundamental data, Navigating in Reuters, Computation on Excel, Using optimizer programs
Tutorials8,00   Case study : analysis of the different type of client's requirements and constraints ; develop an appropriate strategy
Independent study
Group Project15,00   Wealth management Advisory : design an client-specific strategy on the long-run and formulate recommendations on the short-run
Total student workload31,00  

Teaching methods

  • Case study
  • Interactive class
  • Project work
  • Tutorial


Assessment

The students will be assessed on participation (analysis skill, reuse of knowledges, a project work involving the entire examination of a client situation, and the developing of an appropriate strategy for the long-run applying methodology and collecting information to properly convince the client.

Type of controlDurationNumberPercentage break-down
Continuous assessment
Participation0,00020,00
Others
Group Project15,00180,00
TOTAL     100,00

Recommended reading

  • Global Asset Allocation - New Methods and Applications- Zimmerman/Drobetz/Oertmann -

  • Global Asset Allocation - A survey of the world's top investment strategies - Farber -

  • Strategic Asset Allocation - White Paper - Lyxor - Roncali -




 
* This information is non-binding and can be subject to change
 
 
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