We leverage telematics data on driving behavior variables to assess driver risk and predict future insurance claims in … risky drivers and improves the accuracy of loss reserving for auto insurance companies …

Modelling claim frequency and claim severity are topics of great interest in property-casualty insurance for supporting … claim severity distributions of an auto insurance big dataset and compare it with that obtained using a standard GLM model … the insurer in feature engineering and the development of a data-driven approach to risk management and insurance. …

Risky banks that endanger the stability of the financial system should pay higher deposit insurance premiums than … insurance premium rates …

In actuarial modelling of risk pricing and loss reserving in general insurance, also known as P&C or non-life insurance … is tested for a real-life insurance dataset, and generally outperformed PPCI on predicting ultimate loss for sufficient …