Description: Survey results for 2009 produced by the Policyholder Behavior in the Tail Risk Management Section Working Group in which insurers were asked about assumptions used with respect to policyholder behavior in universal life policies with secondary guarantees.

Description: This research report, sponsored by the Society of Actuaries' Health Section, measures the annual frequency of medical errors in the United States and the total measurable cost to the United States economy of these errors.

Description: This the web page for posting of the report which summarizes the results of a study on the application and adoption of credibility theory within the life insurance and annuity industry.

Description: Home page for web posting of this report which summarizes the results of its Delphi study to identify and debate possible new approaches, utilizing technology, to acquiring business by life insurers.

Description: What potential roles are there for actuaries in the Viatical and Life Settlements market? Teresa Winer examines this question in a research report that is linked to this page and was sponsored by the SOA's Committee on Finance Research.

Description: The Group Life COVID-19 Mortality Survey Report Series gathers a high-level view of U.S. group term life insurance mortality experience since the onset of the COVID-19 pandemic. These reports measure results in total and by broad age group, industry category, geographic region, and cause of death.

Description: Home page for posting the report. The research examines various benchmarks for analyzing option adjusted spreads of the major fixed income asset classes of life insurance companies.

Description: The Society of Actuaries' Influencer Kits provide teachers, school counselors, parents, and practicing actuaries with tools to discuss the actuarial profession with their students. Learn more about available materials.

Description: This project shows how to use agent-based models to simulate the behaviors of agents in complex health systems.

Description: This paper explores areas where fuzzy logic models may be applied to improve risk assessment and risk decision-making. It discusses the methodology, framework and process of using fuzzy logic systems for risk management. With the help of practical examples, it is hoped that it will encourage wise application of fuzzy logic models to risk modeling.