Description: Discover the essentials of health reserving in the bustling city of Chicago. This introductory session is designed to demystify the fundamentals of health reserving for actuaries. Explore key concepts such as reserve calculations, methodologies, and regulatory requirements.Led by experienced professionals, this session will equip you with the practical skills and knowledge needed to perform health valuation. Engage with fellow participants and immerse yourself in the vibrant energy of the Windy City as you build a solid foundation in health reserving. Whether you're new to the field or seeking to refresh your understanding, this session is your gateway to mastering health reserving basics in Chicago's dynamic environment.

Description: Milliman was engaged by the SOA to conduct two Accelerated Underwriting (AU) surveys, one of direct companies and another of reinsurers. The surveys explored actual results from 2019–2021 and expected results from 2022.

Description: The article discusses the continued popularity of indexed UL insurance and possible reasons why a company's actual indexed UL earnings may be below their original pricing expectations for the product. The article discusses several key items that may be the source of that underperformance (e.g., hedge ineffectiveness, policyholder behavior) and the need to monitor earnings and perform analyses to better understand those potential sources.

Description: Underwriting specialty risks in life insurance can be challenging, but due diligence is at the core of what allows us to make the best and most informed decision.

Description: Regulators observed a wide range of practice from early adopters of PBR in regard to the treatment of non-guaranteed reinsurance and adopted a formulaic solution on an interim basis for the 2020 Valuation Manual. A field test, supplemented with additional analysis performed using a model-office approach with representative models, is being performed over the first half of 2020 to inform regulators as they select a longer-term solution. This session will provide an update on this important issue as well as perspectives on how the resolution of this issue was approached and lessons learned for the future from those intimately involved in this work.

Description: The presenters will share information about: -Insights into causes of death through the use of predictive models, based on a reinsured U.S. life portfolio, using logistic regression models to understand three main causes of death: cancer, heart and external causes; -Opioid abuse is a widespread phenomenon with drug-related mortality rates rising steeply in the U.S. over the past two decades. But what does the most recent data tell U.S. about the outlook for Opioid-related mortality?; -'Deaths of despair' have been publicized as a cause for the poor performance of U.S. mortality in recent years. The presenters will be looking at the different causes under this label, their evolution and explore the drivers behind them.

Description: Authored by a MIB Solutions team of Tom Rhodes, Stuart Klugman, Marianne Purushotham and Stacy Gill, the report summarizes the results of a study on the application and adoption of credibility theory within the life insurance and annuity industry. In addition to the report, numerical examples related to the application of credibility to company mortality and lapse data are provided in the four Excel files. This excel spreadsheet is a numerical example relating to the application of Credibility for mortality. Please see the SOA website research section for the complete report on Credibility Theory Practices.

Description: Authored by a MIB Solutions team of Tom Rhodes, Stuart Klugman, Marianne Purushotham and Stacy Gill, the report summarizes the results of a study on the application and adoption of credibility theory within the life insurance and annuity industry. In addition to the report, numerical examples related to the application of credibility to company mortality and lapse data are provided in the four Excel files. This excel spreadsheet is a numerical example relating to the application of Credibility for mortality - Limited Fluctuation Method. Please see the SOA website research section for the full report on Credibity Theory Practices.

Description: A commentary on whether or not the Illustrations Regulation has been successful.