NMAA05117U Stochastic Processes in Non-Life Insurance (SkadeStok)
MSc Programme in Actuarial Mathematics
MSc Programme in Mathematics-Economics
Stochastic processes in non-life insurance; ruin theory; claims reserving.
Knowledge: At the end of the course, the student should
develop a thorough understanding of renewal theory, perturbation
techniques, and martingale techniques as they apply to problems in
risk theory. The student should develop a thorough
understanding of the theory behind the Cramér-Lundberg model in the
subexponential case. Moreover, the student should
develop a basic knowledge of claims reservation (chain ladder
method, Mack's formula, and some related methods).
Skills: The students should develop problem-solving skills
for claims reservation and for estimating ruin probabilities
in non-life insurance mathematics in various settings, including
the cases of classical and subexponential claims and some of their
standard generalizations.
Competencies: The student should develop a working knowledge
of renewal theory, perturbation arguments, and martingale
techniques in connection with the Cramér-Lundberg model and some of
its extensions, and develop a working knowledge of claims
reservation.
- Category
- Hours
- Exam
- 25
- Lectures
- 28
- Preparation
- 138
- Theory exercises
- 15
- Total
- 206
As
an exchange, guest and credit student - click here!
Continuing Education - click here!
- Credit
- 7,5 ECTS
- Type of assessment
- Written examination, 3 hours under invigilation---
- Aid
- Written aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
One internal examiner
- Re-exam
Same as ordinary
Criteria for exam assesment
The student must, in a satisfactory way, demonstrate that he/she has mastered the learning outcome.
Course information
- Language
- English
- Course code
- NMAA05117U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 1
- Schedule
- A
- Course capacity
- 60
- Continuing and further education
- Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Mathematical Sciences
Contracting faculty
- Faculty of Science
Course Coordinators
- Jeffrey F. Collamore (collamore@math.ku.dk)