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Quantitative Asset and Risk Management II

  • Teacher(s): F.Alessandrini
  • Course given in: English
  • ECTS Credits: 6 credits
  • Schedule: Autumn Semester 2019-2020, 4.0h. course (weekly average)
  •  séances
  • site web du cours course website
  • Related programmes:
    Master of Science (MSc) in Finance, Orientation Asset and Risk Management

    Master of Science (MSc) in Finance : Financial Entrepreneurship and Data Science

    Master of Science (MSc) in Finance, Orientation Corporate Finance

[warning] This course syllabus is currently edited by the professor in charge. Please come back in a few days. --- For your information only, here is the old syllabus :

Objectives

The objective of this course is to have a view on the quantitative techniques that are most frequently used in the industry and adress the most actual debates in quantitative asset management. The material covers a review of smart beta techniques and quantitative portfolio construction techniques, applied across asset classes. We then gradually switch to more active approaches. A good part of the course is dedicated to factor investing, where we review the basic papers of risk premia and their most recent applications. Again, this topic is adressed across asset classes. Finally, we also touch on various ad-hoc topics, extensively debated in the quantitative asset management industry, such as Trend following, Socially responsible investing.

Contents

1. Smart beta

  • Fundamental indexing
  • Risk-based indexing
  • Applications across asset classes

2. Active vs passive investing

  • The active vs passive debate
  • The fundamental law of active management
  • Black-Litterman
  • Measures of active investing

3. Factor investing

  • Theory of factor investing
  • Review of basic factors (value, momentum, carry, size, ...)
  • Recent applications of factors
  • Factor investing across asset classes
  • Factor timing

4. Ad hoc topics

  • Trend following
  • ESG investing
  • Core-satellite investing
  • ...

References

  • Roncalli T. , Introduction to Risk Parity and Budgeting, 2014
  • Scherer B., Portfolio Construction and Risk Budgeting, 2010
  • Qian E., R. Hua, E. Sorensen, Quantitative Equity Portfolio Management, 2007
  • Grinold R. and R. Kahn, Active Portfolio Management, 2000
  • Ang A., Asset Management, A Systematic Approach to Factor Investing, 2014

Pre-requisites

QARM I (useful but not compulsory). Good command of Matlab.

Evaluation


 

First attempt


 
Exam:
Without exam (cf. terms)  
Evaluation:

The evaluation will be entirely based on a project done during the semester. A list of topics related to the course and where students will be requested to apply techniques covered in the course will be distributed. The project will be done in small groupes. Grades will take into account the final report, the code to run the strategies and the final presentation, done in front of the class.


 

Retake


 
Exam:
Without exam (cf. terms)  
Evaluation:

Retake will include a resubmission of the project, with amended report and code and a new presentation.



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