QRM Home Page; Block 2, 2010-11


Course Details:

Lecturer: Jeffrey Collamore; ph.: 3532 0782; e-mail: collamore-at-math.ku.dk.
Lectures: Monday 13-15 in Aud. 10; Wednesday 10-12 in Aud. 6; Wednesday 13-15 in Aud. 5. (Weeks 47-51 only; no January lectures.)

Evaluation: There will be a 30-minute oral exam and exercises. Your grade will be based primarily on the oral exam, although the exercises will also count for a smaller part of the final grade. Moreover, it is a requirement that all the exercises are attempted and the exercise set is "passed" in order to participate in the oral exam.

Prerequisites: The course may be taken independently of "SkadeStok." While there are no specific requirements, a basic course in measure-theoretic probability theory will generally be assumed.

Course material: A.J. McNeil, R. Frey and P. Embrechts, Quantitative Risk Management: Concepts, Techniques, and Tools. Princeton Univ. Press, 2005. (The text may be purchased from the university bookstore or various other sources.)

The following lecture notes are also recommended, if you would like a second point of view (see Absalon):
H. Hult and F. Lindskog, Mathematical Modeling and Statistical Methods for Risk Management.

Course description: Topics will include: risk measures; statistical methods in extreme value theory; multivariate distributions and dependence; elliptical distributions and copulas; credit risk modeling; insurance-based models for operational risk.


Schedule for the lectures:

Unless otherwise noted, all reading material is taken from the book of McNeil, Frey and Embrechts (written "MFE" below).

21.11.11: MFE: Section 2.1*.
23.11.11: MFE: Sections 2.2 and 2.3**. See also MFE, Section 6.1, for a discussion of coherent risk measures.
28.11.11: MFE: Section 2.3 (cont.)***.
30.11.11: Hult and Lindskog, Ch. 5-7 (or MFE Ch. 7).
05.12.11: Hult and Lindskog, Ch. 8 (or MFE Sec. 5.2); MFE: Section 3.3.
07.12.11: MFE: Section 3.3 (cont.), Section 5.1.
12.12.11: Sections 5.2-5.5.
14.12.11: MFE: Sections 5.2-5.5 (cont.); Sections 8.1-8.4.
19.12.11: MFE: Sections 8.1-8.4 (cont.).
21.12.11: MFE: Ch. 10.

Note: All slides from the lectures are available on Absalon.

*While not strictly required, you are encouranged to (very quickly) read through Ch.1 of MFE, which gives a nice introduction to Risk Management.
**For a reference on the empirical confidence intervals for VaR, see the supplementary notes of Hult and Lindskog, p. 22.
***For a brief discussion of the bootstrap, see Hult and Lindskog, p. 24. For a brief introduction to importance sampling, see P. Glasserman, Monte Carlo Methods in Financial Engineering, Sec. 4.6 (for details, see Absalon).

Exam dates: January 24-25.
Reexam date: April 17. (Note change from original date announced in SIS.)


Exercises:

12.21.11: Homeworks 1 and 2 are posted on Absalon.

Here are the data sets needed for the homework:
DAX-returns; BMW-returns.

You may work in groups with maximum three members. Both homework sets should be handed in by Thursday, January 19, at the latest (although you are encouraged to finish them earlier, and if you are submitting by email, it would be much appreciated if you handed in at least the first part by Saturday, January 14). This may be done either to my mailbox at the secretariat on the first floor of the mathematics building, or electronically via email. In your solutions, please explain all steps completely and provide the code for any numerical work.


Exam questions:

The exam will consist of two parts. First, you will draw a number randomly and present one of the topics below. Then you will be asked general questions, most likely, dealing with a different topic from the one you selected in the first half.

1. Risk measures; loss r.v.'s and operators (and computing them in examples).
2. Computing VaR and ES (Var-Cov, empirical methods, confidence intervals, Monte Carlo and importance sampling, bootstrap).
3. Extreme value theory methods (and their general relation to risk management).
4. Elliptical distributions.
5. Copulas, I: Basics, Sklar's Th., measures of dependence, statistical fitting to data.
6. Copulas, II: Examples (e.g. Gaussian, elliptical, t, Archimedean, simulation of Archimedean), Frechet bounds.
7. Credit risk.
8. Operational risk.

The above topics should be regarded as guides: you should try to subdivide the lectures into eight categories based on these topics. Remember that this is an exam; thus, you should aim to be reasonably detailed in your presentation. The exam may be in English or Danish but, in either case, should be without notes.


Reexam information:

Same conditions as for the regular exam. All homework problems must be handed in prior to the exam. The prepared exam questions are the eight questions given above. The exam itself will take place April 17 from 10-12 in Aud. 10, in the following order:

1. Jens.
2. Signe.
3. Thomas.

Censor: Lars Frederik Brandt Henriksen.