Do you want to uncover the subtleties behind the well-known methods you regularly use to compute your company’s reserves? Curious about the Chain Ladder or GLMs you’ve always heard about but never explored in depth? Or perhaps you’re looking to deepen your knowledge of individual reserving, especially multistate models?
If so, this complete reserving training is made for you.
Developed by actuaries, for actuaries, this course takes into account the unique characteristics of insurance data, rather than reusing standard techniques borrowed from other domains.
The training progresses step by step, revisiting the fundamental statistical concepts behind classic reserving methods such as the Chain Ladder, Mack’s model, and GLMs. It then transitions into individual reserving, beginning with collective loss reserving and culminating in the individual multistate model.
The strengths and limitations of each method are highlighted through a series of case studies using real insurance datasets.
Sessions are designed to be interactive, alternating between methodological explanations and live case studies.
All documentation, datasets, and R code will be provided through a dedicated support platform. Installing the required R packages prior to the session is necessary.
Module 1 : Introduction to reserving:
Module 2 : More complex approaches to reserving
Module 3 : Micro reserving
Scientific Advisor, Detralytics
Professor, UCLouvain
Scientific Advisor, Detralytics
Professor, ULB
After completion of the training session, participants will have acquired a general knowledge of reserving in insurance. They will be able to select the appropriate approach for their own data, run the R code and interpret the results.
