This report covers an extensive analysis on a portolio of policies from Brazil automobile insurance industry with data based on AUTOSEG (Statistical System for Automobiles) for the year 2011. The aim of the analysis was to get an understanding of the factors that influenced the claims performance of the porfolio especially with respect to claims frequency (i.e. number of claims) and claims severity (i.e. average claim size). Generalized linear models were used to model the components of claims cost and it was identified thatgender, drivers age and sum insured were significant factors in explaining the variation in claims frequency and claims severity. It was also established that the average experience differed by state with Sao Paulo experiencing the largest average claims frequency but interestingly also with the lowest claims severity. A more in-depth description of the methodology used, results and conclusions are available on the following link http://ronaldnhondova.com/projects/IDS702-Final-Project-Report.html.
This project was done in R, so if you are interested in the code, it is in my GitHub repository https://github.com/Rnhondova/IDS702-Final-Project/blob/master/IDS702-Final-Project-Report-12-09-2019-.Rmd