Week 9
Overview #
This week, we will cover the following topics:
- Fitting of distributions (Module 3): How do we then go about fitting the parameters to a given data set?
- End of Section 3.4, covering the most complicated case of left-truncation and right-censoring (with parameters changing potentially with each claim)
- Model selection (Module 3): how do we assess how good a model fits to data (“goodness-of-fit”)? How do we make a choice?
- Calculating wihin layers for claim sizes (Module 3): reinsurance, and some policy transformations (in particular, stop loss / deductibles) lead to different “layers” of claims being covered by different parties. How do we calculate the distribution (or at least moments) of who pays what?
See also detailed learning outcomes 1.1.2-1.1.4 and 1.1.6 of the CS2 syllabus
here.
Main references and lectures #
Module 3: #
annotated slides (UG) |
annotated slides (PG)
Watch: refer to your lecture recording under “Lecture Capture” (
UG/
PG). This is where annotated slides will be made available, too.
Additional preparation and resources #
Mandatory #
- Chapter 3.2, 3.3 and 3.4 of Wuthrich (2023) (for Module 3)
Optional #
- n/a
Tutorials #
Note that a full list of exercises is available
here. Please let us know of any mistake or required update on
Ed.
Pre-Tutorial work #
Please study those questions before the tutorial.
Pre-Tutorial exercises are available in the
Pre-Tutorial book, which already includes solutions. It is recommended to attempt the questions before looking at the solutions
Tutorial materials #
Some questions have been especially selected for the tutorials. Students should review and attempt those questions prior to their scheduled tutorial, after they complete the pre-tutorial work.
The
Tutorial book includes all questions for the whole semester already, but solutions will only be added sequentially at the end of each week, as we work our way through the set.
Note that solutions will be gradually added to that same document. Hence it is not recommended to print it, as it will regularly change (typos will also dynamically be corrected).
This week #
This week, we will finish Module 3.
Next week (week 10) #
Next week, tutorials will focus on any remaining question from Module 3, as well as Module 4.
Additional questions #
The “additional questions” are here for reinforcement or revision, but are not the main focus of the tutorials. Solutions for those exercises are already available.
Preparation for assessment #
Mid-semester (15%) and final (60%) exams #
Mid-semester exam is done! 😄
For the final exam:
- Continue your Summary of Module 3.
Assignment (25%) #
The Assignment is done! 😄
References #
Wuthrich, Mario V. 2023. “Non-Life Insurance: Mathematics & Statistics.” Lecture notes. RiskLab, ETH Zurich; Swiss Finance Institute.