Simplifying Risk Analysis with VIN Data: A CAS Seminar Recap
By Jim Vecchio, J.D. Power — The insurance industry needs dynamic auto pricing symbols. At last month’s Casualty Actuarial Society’s (CAS) Ratemaking, Product & Modeling (RPM) seminar in New Orleans, I had the opportunity to join Martin Ellingsworth from Salt Creek Analytics and Liam McGrath and Clayton Spinner from WTW for a panel discussion around how insurance carriers can simplify their risk analysis using VIN-specific, as-built data. VIN level data has been used in ratemaking for decades. As vehicles get less homogeneous at the make and model level, there is more opportunity to add precision to rating not just using the first 8 digits of the VIN, but the entire 17-digit VIN. Our session dove into the ways auto insurers look at vehicle data and confronted some of the challenges associated with using a one-size-fits-all approach. We also explored examples using insurance loss data to show how using changes in used car prices can enhance pricing algorithms.For those who were unable to catch our panel, below is a recap of our discussion. Martin cautioned insurers to be ready to explain why the same base rate increases were being applied across the board despite every car having different safety features and...