Description: This article describes how to model variable annuities using a GPU along with some of the stumbling blocks.

Description: Explores the open vs. closed systems debate with regards to actuarial modeling and exposes the over-simplification. Valuable for anyone who uses models.

Description: This article explores the possibility of using machine learning to improve, or potentially rewrite, actuarial code within actuarial software.

Description: Discussion of the biases understatement of risk/reserves that arise when aggregating cells in modeling Variable Annuity Minimum Guaranteed Death Benefits

Description: More Efficient Monte Carlo Simulations for Mortality Assumption Testing

Description: In this third phase, Sibson interviewed three researchers and actuarial modelers. The objectives of the interviews were to gain perspective on the conceptual model, model alternatives, methodology, and data sources.

Description: One of the first projects undertaken by Claim Analytics was to create a model to predict return to work for group insurance claimants with long term disabilities. This report, sponsored in part by the Society of Actuaries Health Section , is a case study on creating such a model.

Description: Actuarial models may seem like toy-tools, yet they are not all created equal when it comes to delivering results. All models are wrong, according to George Box, yet some are useful. Dealing effectively with operational risk, undue product complexity, and the eternal search for the right answer are keys to success.