Description: Genetic algorithms [GAs] and neural networks [NNs] are currently being used in actuarial and financial modeling. Nonetheless, while there is a general awareness of the nature of these techniques, there is often only vague familiarity with the details of how they are implemented. This paper is intended to help alleviate this situation. Its purpose is to present an overview of GAs and NNs, which includes an explanation of what they are, how they work, and an example of how they are implemented.

Description: This paper reviews the applications of operations research methods in the insurance industry. From Transactions of Society of Actuaries 1995, Vol. 47.

Description: Tree models have been found to provide a good fit to group long term disability recovery and mortality rates. This research paper provides an overview of tree models, and details how they have been used for developing these rates.

Description: This is a Request for Proposals document issued by the SOA Research Institute, focusing on developing a framework for actuaries to bridge the gap between climate scenario outputs and actuarial assumptions. It outlines the background, research objectives, proposal requirements, selection process, submission guidelines, and appendix with cost estimates.

Description: The multi-risk scenario generator is an output of the Smaller Insurance Company Section’s sponsored Principle- Based Reserves Simplified Methods study performed by Mark Birdsall, Steve Strommen, and Brian Hartman. The scenario generator can be used for all material assumptions in an actuary’s cash flow projection software.

Description: Guidance and a model for actuaries to use when performing their professional services related to Medicaid (Title XIX) and Children’s Health Insurance Program (CHIP or Title XXI) managed care capitation rate setting.

Description: The Society of Actuaries (SOA) is pleased to present historical U.S. population mortality rates by gender and single year of age for calendar years 2000-2020. To develop these rates, the SOA relied upon data furnished by the Centers for Disease Control and Prevention, Centers for Medicare and Medicaid Services, the U.S. Census Bureau, and the Social Security Administration. A document summarizing key observations and the process used to develop the rates, along with a table of the rates themselves, can be found below.

Description: 2023 Generally Recognized Expense Table (GRET) recommendations.

Description: This report provides a resource guide for asset-liability management practitioners, including methodology reviews, a survey of ALM practices, and guidance for applying ALM questions to real-world situations.

Description: This report details the 2025 HMI and FMI scale recommendations for individual life insurance mortality valuation under AG38 and VM20 using insured population data.