Description: Life insurance and annuity illustrations are an important part of the sales and ongoing policy maintenance process educating consumers on how the products could perform in a given set of circumstances. While candidates for Fellowship in the Society of Actuaries and even practicing actuaries may have a general knowledge of what they are and awareness of the regulations and applicable standards of actuarial practice, they may not know much about the intricacies of illustrations and illustration testing. The purpose of this project is to create a resource to improve actuarial practitioners’ understanding of illustrations. Additionally, this topic is not currently addressed in the exam curriculum. It is intended that selected sections of the report on this research would be suitable for inclusion in the Fellowship syllabus.

Description: The Individual Life Experience Committee is holding a competition encouraging actuaries and other interested parties to predict 2017 industry mortality based on a data set containg 2009 - 2016 data. The competition is not only about predicting mortality, but also about explaining and presenting the results.

Description: This report is presented in the form of a Tableau dashboard and is the sixth public release from this report series and contains the results of an excess mortality analysis for the fourth quarter of 2021. Data from 30 companies representing approximately 69% of the industry’s face amount inforce were included in the analyses in this report. A total of 3.2 million death claims from individual life policies from 2015 through December 31, 2021 make up the basis of the analyses. The report also compares the experience under COVID-19 of the insured population versus the general population.

Description: This research report examines the ban of the use of genetic testing information in life insurance mortality.

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: Actuaries today have unique opportunities to analyze, understand and use data for strategic decision making. With nearly unlimited computing power and a broad spectrum of data sources at our fingertips, we are enabled to support our actuarial judgment with comprehensive findings backed up by deep data analyses.

Description: Examines complex structured assets used by life and annuity insurers, including structures, risks, performance in crises, and implications for capital and asset-liability management.

Description: Global trends in both technology and regulation are causing U.S. insurers to reflect more deeply on their model risk management frameworks. The world has seen a rapid proliferation of AI-based tools accompanied with an overall increased usage of machine learning models, exacerbating model risk and reducing transparency in an unprecedented manner.

Description: Indexed universal life (IUL) continues to be the most popular universal life (UL) product with sales reaching $1B in Q4 2023, according to LIMRA. There is little long term experience for IUL and many companies value and model IUL just like UL, but there are material potential differences that need to be considered for valuation and projection purposes. Presenters will discuss key risks and differences between IUL and UL relating to policyholder behavior and how to value, project, monitor and manage those risks to avoid repeating misestimates of the past. Presenters will also discuss broader life assumption risks such as mortality and yearly renewable term (YRT) reinsurance risk. Attendees will learn about options on how to potentially address underperforming blocks of IUL and will obtain an improved perspective on the risks of IUL products and the differences versus UL and how to incorporate these differences into their valuation and projection exercises.

Description: The post COVID-19 period exhibited a fast-changing capital market with higher interest rates, uncertain monetary policies, and revaluation of asset classes. At the same time, regulators introduced changes to reward better risk management, such as the scenario-based approach for reserving under Bermuda regulatory framework. For life reinsurers, while new opportunities arising from these changes, challenges also exist to be able to adjust reinsurance portfolios and ALM strategies appropriately. A holistic modeling framework can assist companies better position themselves in front of these challenges and other potential future unknowns. In particular, a well-designed stochastic and dynamic modeling framework enables the quantifications of such probabilities and potential impacts.