Description: The Society of Actuaries’ Post Retirement Needs and Risks Committee has made available the full report for its biennial survey, Risks and Process of Retirement.

Description: This study is an update of a 2015 study that illustrates the differences that occur when measurement is made under different accounting bases. The observations come from research performed on two products (term life insurance and universal life insurance with secondary guarantees.

Description: An analytical basis about national trends and state specific factors that may be driving the auto insurance loss costs.

Description: This SOA report describes the components of margin for calculating capitation rates in a Medicaid context along with practical issues that MCOs may face.

Description: This research addresses how to model different reinvestment strategies to determine which ones maximize the economic results in different economic conditions.

Description: This report describes trends in asset allocation of major life insurers across eight Asian markets.

Description: This report evaluates the long-term mortality consequences of the COVID-19 pandemic from a cohort-based perspective using historical mortality data.

Description: This report explores AI bias in insurance and health data, highlighting the ethical role of actuaries and offering cross-disciplinary guidance for fairer decision-making systems.

Description: This report documents updates to the Canadian mortality data in both the Human Mortality Database and the Canadian Human Mortality Database, including new data for 2022–2023.

Description: This study explores the use of geospatial imagery and high-resolution image technology in the property and casualty (P&C) insurance industry, focusing on improving risk determination through accurate building location data. It introduces new methods like structure footprints and high-resolution elevation information to enhance underwriting, rating, and claims settlement. The study includes two case studies: one on flood risk in Hillsborough County, Florida, and another on wildfire risk in three California communities, demonstrating the significant impact of precise location and elevation data on risk assessment and insurance premiums.