Claims frequency modeling using telematics car driving data

ABSTRACT We investigate the predictive power of covariates extracted from telematics car driving data using the speed-acceleration heatmaps of Gao, G. & Wüthrich, M. V. [(2017). Feature extraction from telematics car driving heatmaps. SSRN ID: 3070069]. These telematics covariates include K-means classification, principal components, and bottleneck activations from a bottleneck neural network. In the conducted case study it turns out that the first principal component and the bottleneck activations give a better out-of-sample prediction for claims frequencies than other traditional pricing factors such as driver's age. Based on these numerical examples we recommend the use of these telematics covariates for car insurance pricing.

[1]  S. Wood.  Generalized Additive Models: An Introduction with R , 2006 .

[2]  R. Tibshirani,et al.  Generalized Additive Models , 1986 .

[3]  D. Ruppert.  The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .

[4]  R. Tibshirani,et al.  Generalized additive models for medical research , 1986, Statistical methods in medical research.

[5]  Radford M. Neal.  Pattern Recognition and Machine Learning , 2007, Technometrics.

[6]  Mario V. Wüthrich.  Covariate selection from telematics car driving data , 2017 .

[7]  Guangyuan Gao,et al.  Feature extraction from telematics car driving heatmaps , 2018, European Actuarial Journal.

[8]  M. Kramer.  Nonlinear principal component analysis using autoassociative neural networks , 1991 .

[9]  Gerda Claeskens,et al.  Unravelling the predictive power of telematics data in car insurance pricing , 2017 .

[10]  Montserrat Guillén,et al.  Telematics and Gender Discrimination: Some Usage-Based Evidence on Whether Men’s Risk of Accidents Differs from Women’s , 2016 .

[11]  Alan Y. Chiang,et al.  Generalized Additive Models: An Introduction With R , 2007, Technometrics.

[12]  Robert Weidner,et al.  Classification of scale-sensitive telematic observables for riskindividual pricing , 2016 .

[13]  Gerda Claeskens,et al.  Unravelling the predictive power of telematics data in car insurance pricing , 2018 .

[14]  Robert Weidner,et al.  Telematic driving profile classification in car insurance pricing , 2016, Annals of Actuarial Science.

[15]  Mario V. Wuthrich,et al.  Data Analytics for Non-Life Insurance Pricing , 2019 .