Description: On this page, you'll find links to studies, tables, reports and documents on group and individual life insurance plans, as well as mortality and longevity stats as they relate to life insurance. Available resources include a relative risk tool and mortality and other rate tables.

Description: 2024 Election Message for David Dillon

Description: In recent years, Artificial Intelligence (AI) has taken an increasingly prominent role as a potential tool for improving processes from standard internet searches to its use in improving actuarial modeling through machine learning and other applications. The use of AI models and machine learning could lead additional and ongoing improvement of predictive capabilities in health care reserves resulting in potentially more accurate reserve estimates, financial statements and decreases in model variance.

Description: 2024 Election Message for David D. Ingram

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 examines the impact of the COVID-19 pandemic on mental illness and the impact of mental illness on mortality and longevity in the U.S.

Description: The Society of Actuaries Research Institute is pleased to make available a report that aims to understand the cause of low annuity demand through the angle of mortality model uncertainty.

Description: LIMRA, Reinsurance Group of America (RGA), the Society of Actuaries (SOA) Research Institute, and TAI have collaborated on an ongoing effort to analyze the impact of COVID-19 on the individual life insurance industry’s mortality experience and share the emerging results with the insurance industry and the public.

Description: In Memory of Harold G. Ingraham Jr.

Description: Studying for the Fundamentals of Actuarial Mathematics (FAM) Exam includes reviewing the syllabus and other supplemental materials.