This article proposes a new model that combines a neural network with a generalized linear model (GLM) to estimate and predict health transition intensities. We introduce neural networks to health transition modeling to incorporate socioeconomic and lifestyle factors and to allow for linear and...

We propose a new model in a Bayesian hierarchical framework to project mortality at both national and subnational levels based on sparse or missing data. The new model, which has a country-region-province structure, uses common factors to pool information at the national level and within regions...

Motivated by a recent demographic study establishing a link between macroeconomic fluctuations and the mortality index kt in the Lee-Carter model, we develop a dynamic asset-liability model to assess the impact of macroeconomic fluctuations on the solvency of a life insurance company....

The recent international credit crisis has highlighted the significant exposure that banks and insurers, especially mono-line credit insurers, have to residential house price risk. This paper provides an assessment of risk models for residential property for applications in banking and insurance...