ATTENTION/WARNING - NE PAS DÉPOSER ICI/DO NOT SUBMIT HERE

Ceci est la version de TEST de DIAL.mem. Veuillez ne pas soumettre votre mémoire sur ce site mais bien à l'URL suivante: 'https://thesis.dial.uclouvain.be'.
This is the TEST version of DIAL.mem. Please use the following URL to submit your master thesis: 'https://thesis.dial.uclouvain.be'.
 

{Windstorm Risk Modelling :A Comparative Analysis of Historical and Hazard-Vulnerability Approaches for KBC

Dazahra, Mohamed Amine
(2023)

Files

dazahra_56662100_2023.pdf
  • UCLouvain restricted access
  • Adobe PDF
  • 2.85 MB

Details

Supervisors
Denuit, Michel
Faculty
Faculté des sciences
Degree label
Master [120] en sciences actuarielles, à finalité spécialisée
Abstract
Windstorm risk has always been a concern for insurance undertakings in Europe. Usually these insurance undertakings rely on vendor’s model to manage this risk. However, these external models tend to function as a Black Block. Thus, there is a growing need to develop internal models to asses this risk. The aim of this thesis is to create to model. The first model generates the results by applying a classical approach of frequency and severity analysis on windstorm losses. The second model takes a different approach, by relying on hazard and vulnerability modelling. Finally, the two models are compared with a vendor’s model.