Learning outcomes

The course familiarises students with an area of stochastic processes which is applied in the analysis of fluctuations in the insurance business.

Contents

The course covers among other things the claim number process, the mixed Poisson process and its approximation, ruin probability, premium calculation methods and the use of simulation methods in risk theory.

Teaching language

Finnish

Evaluation

Numeric 1-5.

Recommended year of study

1. year autumn
1. year spring
2. year autumn
2. year spring

Study materials

1. Gerber, H. U., An Introduction to Mathematical Risk Theory. S.S. Huebner Foundation 1979.
2. Bühlmann, H., Mathematical Methods in Risk Theory. Springer 1970.
3. Daykin, C. D., Pentikäinen, T., Pesonen, M., Practical Risk Theory for Actuaries. Chapman&Hall 1994.

Belongs to following study modules