Description: Review of a report by Alan Mills introducing Complexity Science, a discipline which could help actuaries to model and manage complex systems, such as the health care system.

Description: Discusses the RAND function in Excel and alternatives for generating random numbers.

Description: This abstract describes a paper that considers the identification problem for age-period-cohort models for a class of non-trapezoidal index sets.

Description: Feature article discussing why approximations are still necessary.

Description: The author discusses the two-part presentation on complexity science tools at the SOA Annual Meeting October 2010. He explains that presentations went back to basics with explanations about the difference between modeling tools used to employ deterministic methods for classical actuarial models.

Description: This article discusses how complex models can provide a false sense of security, hiding the evidence that the entire range of indications may hinge on one or two key assumptions.

Description: This paper's objectives are to reduce the variation of life expectancy due to changes in the closing out method and give more homogeneous old age mortality surface for the Algerian population. The paper will also provide readers with a general methodology to extend mortality to old ages for the Algerian population starting from adult mortality data.

Description: Mandatory implementation of life principle-based reserves (PBR) is just around the corner, and there is no shortage of work to do, as most products have yet to be moved to PBR. Oliver Wyman recently completed its 2019 PBR survey, with more than 40 participants covering 85 percent of the individual life market, including 23 of the top 25 life writers and five reinsurers. This article will expand on the key survey findings including implementation status and model simplifications.

Description: In this article, we talk to Lei Rao-Knight, FSA, Vice President and Actuary at Prudential Financial. Lei discusses her model development experience in the Modeling Center of Excellence.