Description: The SOA has collaborated with LIMRA, Reinsurance Group of America (RGA), and TAI on an ongoing effort to analyze the impact of COVID-19 on the individual life insurance industry’s mortality experience. The data collected for this study included 2.8 million deaths from life insurance policies covering the period January 1, 2015 to September 30, 2020.

Description: Toward a Predictive Analytics Framework files

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: The digital revolution has transformed the insurance sector, introducing new technologies and innovative players. Traditional insurers face challenges from Big Tech and insurtech startups, prompting them to adapt or innovate. This study presents a framework to analyze market dynamics and potential partnerships, helping insurers identify competitive advantages and future paths in a digital era.

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.

Description: A biennial survey analyzing financial risk awareness and retirement transition experiences of Americans aged 45–80.

Description: This is a detailed report analyzing the 2019 Individual Life Insurance Mortality Experience, focusing on data validation, trends in mortality experience, and comparisons between different datasets. It includes insights on mortality patterns by age, sex, policy characteristics, and provides detailed methodology and findings.

Description: The primary purpose of this paper is to demonstrate, through a basic stochastic projection model, how inflation might impact savings and investing for retirement.

Description: This report updates the Canadian Mortality Data through 2021 in the Human Mortality Database and Canadian Human Mortality Database, including methodology, data sources, and internal consistency checks.