Skip to content

Latest commit

 

History

History
16 lines (10 loc) · 694 Bytes

README.md

File metadata and controls

16 lines (10 loc) · 694 Bytes

Forecast of car insurance claims

Forecast of the claim number and claim frequency for a portfolio of car insurance policies using different statistical and machine learning models

The following classes of models are considered:

  • Poisson generalized linear models
  • Poisson boosting machines
  • Neural networks

References:

Ferrario, Andrea, Alexander Noll, and Mario V. Wuthrich. "Insights from inside neural networks." Available at SSRN 3226852 (2020).

Noll, A., Salzmann, R., & Wuthrich, M. V. (2020). Case study: French motor third-party liability claims. Available at SSRN 3164764.

Wüthrich, M.V., Buser, C. (2016). Data Analytics for Non-Life Insurance Pricing. SSRN 2870308.