Courses Exchange Display 2022-2023
|Course Description||To PDF|
|Course title||Topics in Computational Actuarial Methods|
|Assessment||Pass / Fail|
Stephan Smeekes, Marc Schröder
For more information: email@example.com; firstname.lastname@example.org
|Language of instruction||English|
To provide an understanding of mathematical models useful in actuarial science and their implementation.
PLEASE NOTE THAT THE INFORMATION ABOUT THE TEACHING AND ASSESSMENT METHOD(S) USED IN THIS COURSE IS WITH RESERVATION. A RE-EMERGENCE OF THE CORONAVIRUS AND NEW COUNTERMEASURES BY THE DUTCH GOVERNMENT MIGHT FORCE COORDINATORS TO CHANGE THE TEACHING AND ASSESSMENT METHODS USED. THE MOST UP-TO-DATE INFORMATION ABOUT THE TEACHING/ASSESSMENT METHOD(S) WILL BE AVAILABLE IN THE COURSE SYLLABUS.
The goal of the course is to become familiar with computer based methods useful in actuarial science and financial engineering. The focus of the course will be on Monte Carlo Methods and the Bootstrap. After a general introduction to Monte Carlo Methods we will study variance reducing techniques such as importance sampling and control variates in more detail. To see how these techniques work in practice we will discuss how they can be used in actuarial applications like the calculation of risk measures. Similar, we will first give a general introduction to the Bootstrap. Next, we apply the Bootstrap to actuarial problems like estimation of Value-at-Risk or constructing confidence intervals for the number of claims made per year.
Research articles and slides of the course.
Probability Theory and Mathematical Statistics.
|Teaching methods (indicative; course manual is definitive)||PBL / Lecture / Groupwork|
|Assessment methods (indicative; course manual is definitive)||Final Paper / Participation|
|Evaluation in previous academic year||For the complete evaluation of this course please click "here"|
|This course belongs to the following programmes / specialisations||