NMAK10020U  Quantitative Risk Management (QRM)

Volume 2017/2018
Education

MSc Programme in Actuarial Mathematics
MSc Programme in Mathematics-Economics

Content

Risk measures; extreme value theory; multivariate distributions and dependence; copulas; credit modeling and operational risk modeling.

Learning Outcome

Knowledge:  By the end of the course, the student should develop an understanding of risk measures, including VaR and expected shortfall, and of stastistical methods from extreme value theory (including the Hill estimator and the POT method).  Also, the student should develop a thorough understanding of the various means for analyzing dependence, including elliptical distributions and copulas.  Moreover, the student should develop a thorough knowledge of some of the standard models used for credit risk modeling and operational risk modeling.

Skills:  The student should develop analytical and computational skills for computing VaR, expected shortfall, and for analyzing dependence and credit risk losses.

Competencies:  The student should be able to analyze risk in a variety financial settings and to compute VaR, expected shortfall, or other related risk measures in these contexts. The student should also be able to apply basic methods from extreme value theory to analyze these risks.  Moreover, the student should develop proficiency in analyzing dependent risks using, in particular, elliptical distributions or copulas.  Finally, the student should develop a competence in analyzing credit risk losses.

VidSand2 concurrently, or equivalent.
5 hours of lectures per week for 7 weeks.
Credit
7,5 ECTS
Type of assessment
Oral examination, 30 minutes
No preparation time.
Exam registration requirements

To participate in the exam, the two required homework sets must be passed.

Aid
Without aids
Marking scale
7-point grading scale
Censorship form
No external censorship
Several internal examiners.
Re-exam

Same as the ordinary exam. If the required homework sets are not approved before the ordinary exam, the non-approved set(s) must be handed in no later than two weeks before the beginning of the re-exam week. They must be approved before the re-exam.

Criteria for exam assesment

The student must, in a satisfactory way, demonstrate that he/she has mastered the learning outcome.

  • Category
  • Hours
  • Exam
  • 1
  • Lectures
  • 30
  • Practical exercises
  • 10
  • Theory exercises
  • 50
  • Preparation
  • 115
  • Total
  • 206