Measurement of Non-Life Risk
Brief description
Concept of risk transfer in insurance (non-life risk); Methods and models for the estimation of the damage probabilities of single or of collective claims (logistic regression, intensity models, etc.); Models for the amount of damage; VaR for single contracts or portfolios based on the damage probabilities and sizes; Introduction to Extreme Value Analysis EVA; Back testing and stress testing
Mode of delivery
face to face
Type
compulsory
Recommended or required reading and other learning resources/tools
Heilmann, W., 1988, Fundamentals of Risk Theory, Verlag Versicherungswirtschaft; Dickson, D., 2016, Insurance Risk and Ruin, 2nd edition, Cambridge University Press; Rotar, V., 2014, Actuarial Models: The Mathematics of Insurance, 2nd edition, Chapman and Hall
Planned learning activities and teaching methods
Interactive teaching (lecture and discussion)
Assessment methods and criteria
This course is based on continuous assessment (30%) and a final project to be uploaded on the Moodle platform (70%). The continuous assessment consists of three home assignments to be uploaded before the respective deadlines.
Prerequisites and co-requisites
FOEC10, FUFI10, FUMS10, MUME10, PRDA10, TSAN10
Infos
Degree programme
Quantitative Asset and Risk Management (Master)
Cycle
Master
ECTS Credits
2.00
Language of instruction
English
Curriculum
Part-Time
Academic year
2024
Semester
2 SS
Incoming
Yes
Learning outcome
After the successful completion of the course students are able to master the various different computational approaches to estimate risk determinants for non-life risk (damage probabilities and amount of damage). They can estimate the loss distribution for non-life risks which allows them to estimate risk measures such as the Value at Risk. They are also able to test the quality of already implemented risk measurement models (back-testing) and they can conduct stress tests that analyse the impact of scarce extreme events.
Course code
0613-09-01-BB-EN-11