Description: This abstract describes a paper that proposes a multi-population Global Vector Autoregression (GVAR) mortality model, in which the joint mortality dynamics of all populations are formulated in a large vector autoregression model with a set of contemporaneous global mortality factors.

Description: The aim of this project has three aspects: (1) providing a comprehensive literature review on telematics car driving data analytics; (2) developing various visual tools and a data cleaning procedure for telematics data; and (3) extracting risk factors from individual trips and improving classic classification ratemaking models with those risk factors.