Description: Research the impact of illiquid investments on pension plan funding, design, and risk management strategies.

Description: The Society of Actuaries (SOA) is pleased to present historical U.S. population mortality rates by sex and single year of age for calendar years 2000-2021.

Description: The Mortality Improvement Model, MIM-2021- V3. Different mortality projection methodologies are utilized by actuaries across applications and practice areas. As a result, the MIM Advisory Group (“Advisory Group”) developed a single framework to serve as a consistent base for practitioners in projecting mortality improvement.

Description: This report was developed by the CESRC as an update of one Rob Erhardt prepared in 2016 that compiled a collection of sources that deal with what scientists know and what actuaries could do. Sources have been chosen with practicing actuaries and the public in mind. In the original report, nearly all governmental sources come from the United States. In the update an attempt was made to include sources from actuarial bodies and regulators worldwide. Please let us know if you have a source we did not include as it is anticipated that the SOA will continue to update a list of sources for these topics in the future.

Description: A comprehensive primer on long-term care wellness programs, their design, implementation, challenges, metrics for success, and emerging industry practices.

Description: This report explores the adoption and impact of artificial intelligence and large language models in the Greater China insurance industry, drawing from surveys and case studies.

Description: This report examines the adoption and challenges of predictive analytics in life and annuity reinsurance, including current practices, regulatory context, and advanced AI applications.

Description: Award-winning essays on addressing unwanted bias in life and annuity insurance processes.

Description: As the insurance industry continues to evolve due to a pandemic and rapidly changing economic and regulatory conditions, the role of data scientists and actuaries has become increasingly important. In an interview with the Atidot data science and actuarial team, we discuss what it is like to work at an InsurTech, how data scientists and actuaries can collaborate, and look at some concrete technical examples of where the innovation is having an impact. This article explores what collaboration can look like and how the role of data science and actuary may evolve in the InsurTech industry in the future.

Description: This paper applies the research in Prospect Theory of Kahneman and Tversky to explain why sales of annuities lag sales of life insurance products. The author theorizes that life insurance is easier to sell because customers perceive themselves to be in the domain of losses, while potential annuity customers perceive themselves to be in the domain of gains. Kahneman and Tversky showed us that people are mostly risk averse in the domain of gains and risk seeking in the domain of losses. Purchase of an annuity or life product is a risky investment. Customers will find it easier to take the risk in the life insurance domain of losses than the annuity domain of gains. The author then proposes a hybrid life annuity product that might address both mortality and longevity risk in one product that would allow both products to be more competitive than stand-alone products.