Description: This article includes a description of robotic process automation as it relates to actuarial departments. Robotic process automation is becoming more prevalent in actuarial departments as different regulatory changes cause the processes to be more complex. As robotic process automation takes over more jobs, actuaries will have to enhance and evolve their skillsets to better complement the new tools. This article provides an introduction for actuaries to inform them what they should expect, and how they can adapt to these changes.

Description: The minimum distance estimator proposed allows for the selection of the best fitting family member without prior distributional assumptions. It is shown that this estimator is consistent and can be made either robust or asymptotically efficient. Its asymptotic distribution is derived and and illustrated with automobile insurance data. From the Actuarial Research Clearing House 1990 Vol. 1

Description: Technical paper on how to efficiently perform scenario testing for principle-based approaches.

Description: Explores the applications and techniques of model governance, focusing on benefits such as model literacy, efficiency, and confidence.

Description: More Efficient Monte Carlo Simulations for Mortality Assumption Testing

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

Description: A summary of Modeling Section-sponsored sessions at the 2016 Life/Annuity Symposium, covering model risk management, model governance, and model efficiency.

Description: Health Watch, Issue 79, December 2015, Health Watch

Description: A study on stochastic simulation literature as it applies to a health actuary.

Description: Summary of the health section council’s research project to assess the accuracy of commonly used IBNR estimation methods over a wide range of scenarios.