This article presents several actuarial applications of categorical embedding in the context of
non-life insurance risk classification. In non-life insurance, many rating factors are naturally …

The emergence of Bayesian Markov Chain Monte-Carlo (MCMC) models has provided
actuaries with an unprecedented flexibility in stochastic model development. Another recent …

The chain ladder is the most ubiquitous of loss reserving models. For much of its life it
existed as an algorithm rather than a model. Here “algorithm” implies a mere calculation …

Stochastic loss reserving with dependence has received increased attention in the last
decade. A number of parametric multivariate approaches have been developed to capture …

This is a comprehensive and accessible reference source that documents the theoretical
and practical aspects of all the key deterministic and stochastic reserving methods that have …

One of the most fundamental tasks in non-life insurance, done on regular basis, is risk
reserving assessment analysis, which amounts to predict stochastically the overall loss …

This article proposes a claims reserving model for dependent lines of business with the
accommodation of association among triangles by a copula function. We show that the …

Forecasting the outstanding claim liabilities to set adequate reserves is critical for a nonlife
insurer's solvency. Chain–Ladder and Bornhuetter–Ferguson are two prominent actuarial …

We analyse four stochastic claims reserving methods in terms of their capability to estimate
reserve risk and how successful they are at predicting distributions and VaRs of claim …

In the past two decades increasing computational power resulted in the development of
more advanced claims reserving techniques, allowing the stochastic branch to overcome the …