Bucharest 22 November 2019
Trainer: Frederick Borgers
The data requirements in insurance are ever growing larger. For Solvency II and other purposes, quantitative and qualitative data requirements are increasing. Usually a database or datawarehouse is available in the company, but adequate tools to analyse the data may lack, resulting in over reliance on Microsoft Excel – Especially if commercial software such as SAS is missing.
We try to overcome this issue by presenting R as a possible tool for making typical insurance analysis. At the same time, well known insurance concepts will be introduced, such as the chain-ladder for reserving and GLM for predictive modelling.
- Prepare a dataset for reserving and then apply chain-ladder methodology in R
- Descriptive statistics of a dataset: histograms, statistical tests, distribution checks
- Using generalized linear models and other regression techniques used for predictive modelling
The focus lies on the practical implementation of a number of concepts in R, rather than the theoretical description of those techniques. Exercises will be given during the course to make the users familiar with R and a small part will be dedicated to the newest techniques in the field.
- Common statistical techniques used in insurance
- Introduction to R
Frederick Borgers is the head of Group Property & Casualty Pricing at UNIQA Insurance Group AG. Frederick was an actuary within the International Actuarial Specialist Programme at Eureko, a non-life actuary at Uniqa Insurance Group AG and the Actuarial Project Manager at UNIQA Asigurări.
The workshop will last for 6 hours and will take place on 7th of December 2018, between 09:30 and 16:30.
At the above fee the following discounts will be granted:
The discounts can be cumulated.