Over time, the understanding of all the assumptions behind the typically used reserving models can have grown a bit stale, and more recent developments might not have percolated all the way to the day-to-day practice. This web session will help the participants to overcome this.
The most widely used deterministic macro-level models, such as the Chain Ladder and the Bornhuetter-Ferguson model, will be discussed in full detail during this web session, but also stochastic macro-level models, such as the OverDispersed Poisson model or ODP model for example, will be covered. This entails a proper freshing up of the underlying assumptions and how the model is estimated, but also checks on determining if the chosen model is appropriate for the data at hand, and under which circumstances one should go for one type of macro-level model or the other.
In this web training a detailed overview is provided of the aforementioned models and during the practical sessions, R code is provided on how to implement most of the discussed topics, hereby rendering the participants completely autonomous after the webinar.
During the web session however, even if practical sessions will be organized, the main focus will be on the theory.