Risk Theory I
To have knowledge of the mais distributions in Non-life Insurance. To know the characteristics of the risk models and apply them. To calculate the exact or approximate probabilities related to aggregate claims.
Maria de Lourdes Belchior Afonso
Weekly - 3
Total - 48
The students should be provided with knowledge about calculus, numerical analysis, probabilities and statistics.
Bowers, Gerber, Hickman, Jones and Nesbitt. (1997) Actuarial Mathematics (second edition). Itasca, Illinois: The Society of Actuaries
Yiu-Kuen Tse.(2009), Nonlife Actuarial Models:Theory, Methods and Evaluation,Cambridge University Press, Cambridge
Kaas, R., Goovaerts, M., Dhaene, J. & Denuit, M. (2008) Modern Actuarial Risk Theory - using R (second edition), Springer
Klugman, S. A., Panjer, H. H. and Willmot, G. E. (2012) Loss Models: From Data To Decisions (fourth edition), Wiley
David Bahnemann (2015) DISTRIBUTIONS FOR ACTUARIES, CAS MONOGRAPH SERIES NUMBER 2 Casualty Actuarial Society
The problem-solving sessions allows an immediate connection between theoretical concepts and their applicability.
In the first part of the class the theoretical concepts are introduced. The second part is complemented with problems solving in paper and computer. This way, the students have an integrated view of the topics taught, fostering critical thinking and teamwork.
The class work is supplemented with exercises. Students have additional support in their study with support material (transparencies, theoretical notes and solved tests), or with extra tutorial time.
The objectives achievement is assessed on a continuous basis or through the execution of a final exam. The evaluation components are tests, practical assignment and/or final exam.
Frequency is obtained by presenting the TP.
Approval in the regular season
The evaluation in normal season consists of: 2 tests and 1 practical work to be done during the class period. Let T1 , T2 and TP be the scores obtained, respectively, in both tests and in the practical work. Let AC=0.4*T1+0.4*T2+0.2*TP be the classifications obtained at the regular season. The student is approved in the regular season if AC>=9.5
Individual Risk Model.
Collective risk model.
The distribution of aggregate claims.
Programs where the course is taught: