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. This report documents a high-level analysis of the claims that have been reported.

Description: On January 12, 2023, the Arizona Blockchain Applied Research Center (AZ BARC) and the SOA Research Institute jointly ran a workshop on the use of blockchain technology in insurance and financial industries. The workshop included presentations focused on academic research in the blockchain space by Arizona State University, AZ BARC and an industry expert panel assembled by the SOA Research Institute. This document summarizes the research highlights and the discussions that occurred during the two-hour workshop.

Description: In the fourth quarter of 2022, publicly traded life insurers reported on their financial and operational activities, which included a downturn in income from alternative investments, the continuing impact of COVID, the impact of equity market returns on variable annuity products, and growth trends related to pension risk transfer transactions.

Description: The Mortality Improvement Life Working Group released a recommendation for a set of improvement factors that vary by gender and attained age to be used in conjunction with the 2008 Valuation Basic table or the 2015 Valuation Basic table for AG-38 purposes.

Description: This report summarizes available data from the research Mortality by Socioeconomic Category in the United States.

Description: This report provides the results of a VA survey on policyholder behavior in the tail on VA products containing guaranteed minimum benefits.

Description: This research report study uses the property/liability insurance industry as a research sample to examine how risk management, financial management, and capital management are related to each another. This allows reflecting such relationships in: 1. the managerial decisions in the choice of derivative and reinsurance use. 2. the allocation of asset risks. 3. the determination of underwriting activities as well as liabiity risks. 4. the adequacy of capital levels.

Description: The objective of this paper is to provide a practical guide with concrete case studies to help actuaries implement artificial intelligence and machine learning (AIML) to help accelerate the speed of analysis for life and annuity actuarial modeling. We do so by researching the existing literature regarding AIML and its applicability to stochastic modeling and exploring case studies.

Description: This report presents research into recent population mortality experience compiled by the Retirement Plans Experience Committee (RPEC) of the Society of Actuaries Research Institute as it pertains to development of mortality improvement assumptions for measuring obligations of retirement programs in the United States.

Description: The global doubling of information content has been estimated to occur at a rate of every 12 hours, and conceivably faster. This ‘infowhelm’ is a double-edged sword for insurers. While maximization of the global knowledge base can fuel innovation, it can occur only in the context of reasonable cost for a higher benefit. The insurance industry – underwriters and actuaries in particular – are challenged to constantly examine new innovations that promise to raise confidence and protective value for insurability, within legal limits. This report aims to be the first of several to alert the SOA of promising innovations for the profession.