Measurement of Non-Life Risk
Lehrinhalte
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
Art der Vermittlung
Präsenzveranstaltung
Art der Veranstaltung
Pflichtfach
Empfohlene Fachliteratur
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
Lern- und Lehrmethode
Interactive teaching (lecture and discussion)
Prüfungsmethode
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.
Voraussetzungen laut Lehrplan
FOEC10, FUFI10, FUMS10, MUME10, PRDA10, TSAN10
Schnellinfos
Studiengang
Quantitative Asset and Risk Management (Master)
Akademischer Grad
Master
ECTS Credits
2.00
Unterrichtssprache
Englisch
Studienplan
Berufsbegleitend
Studienjahr, in dem die Lerneinheit angeboten wird
2025
Semester in dem die Lehrveranstaltung angeboten wird
2 SS
Incoming
Ja
Lernergebnisse der Lehrveranstaltung
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.
Kennzahl der Lehrveranstaltung
0613-09-01-BB-EN-11