- Department: Mathematics
- Credit value: 10 credits
- Credit level: M
- Academic year of delivery: 2022-23
Pre-requisite modules
Co-requisite modules
- None
Prohibited combinations
- None
Occurrence | Teaching period |
---|---|
A | Spring Term 2022-23 |
This module aims to introduce statistics theory and methodology which are relevant to insurance and actuarial science.
At the end of the module you should be able to:
This module covers the following five topics:
1) Claims reserving and pricing with run-off triangles;
2) Commonly-used loss distributions;
3) Risk theory;
4) Ruin theory;
5) Generalised linear models.
Task | % of module mark |
---|---|
Closed/in-person Exam (Centrally scheduled) | 100 |
None
Task | % of module mark |
---|---|
Closed/in-person Exam (Centrally scheduled) | 100 |
Current Department policy on feedback is available in the undergraduate student handbook. Coursework and examinations will be marked and returned in accordance with this policy.
Boland, P. (2011). Statistical and Probabilistic Methods in Actuarial Science. Chapman & Hall/CRC Interdisciplinary Statistics.
Cizek, P., Hardle, W. and Weron, R. (2011). Statistical Tools for Finance and Insurance (2nd Edition). Springer.
Daykin, C. D., Pentikainen, T. and Pesonen, M. (1993). Practical Risk Theory for Actuaries. Chapman & Hall/CRC.
Dickson, D. (2010). Insurance Risk and Ruin. International Series on Actuarial Science, Cambridge University Press.
Kaas, R., Goovaets, M. and Dhaene, J. (2008). Modern Actuarial Risk Theory: Using R. Springer