This paper presents an analysis of motor vehicle insurance claims relating to vehicle damage and to associated medical expenses. We use univariate severity distributions estimated with parametric and non-parametric methods. The methods are implemented using the statistical package R. Parametric...

This paper presents an analysis of motor vehicle insurance claims relating to vehicle damage and to associated medical expenses. We use univariate severity distributions esti- mated with non-parametric methods. The methods are implemented using the statistical package R. The nonparametric...

We present a real data set of claims amounts where costs related to damage are recorded separately from those related to medical expenses. Only claims with positive costs are considered here. Two approaches to density estimation are presented: a classical parametric and a semi-parametric method,...

In this paper, we present a Markov chain Monte Carlo (MCMC) simulation algorithm for estimating parameters in the kernel density estimation of bivariate insurance claim data via transformations. Our data set consists of two types of auto insurance claim costs and exhibit a high-level of skewness...

A simulation approach is used to investigate how various investment strategies affect the ability of retirees to spend at a desired level up until death. Retirees are assumed to maintain all investment and longevity risk, and also have access to a government-sponsored and means-tested Age...

A report on an introduction of a flipped classroom approach to lectures in a final-year actuarial course is presented. At the heart of the flipped classroom is moving the delivery of material outside of formal class time and using formal class time for students to undertake collaborative and...