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.

Description: Initiated by the Product Development Section, this report examines global product development (PD) practices of life insurance and annuity companies.

Description: This report examines options for analyzing periodic changes in VM-20 reserve amounts.

Description: This report documents the “Constructing Occupational -Specific Life Tables for China” project under the “China Research Topics” proposal.

Description: Sponsored by the SOA's Product Development Section, Financial Reporting Section, Committee on Life Insurance Research and the Canadian Institute of Actuaries, this report examines the application of credibility theory in the Canadian life insurance industry.

Description: This is a page for section members that includes information on illustration actuary testing.

Description: Deaths due to non-medical causes such as drug overdoses, alcohol-related deaths, homicides, suicides and accidents are the leading cause of death for those under the age of 50 in the U.S. and is the fourth leading cause of death (after cardiovascular, cancer and COVID-19) for all ages combined in 2021. Take a deep dive with us into the mortality trends for non-medical causes of death and the impact these deaths have on different types of life insurance, including simplified issued, fully underwritten and group.

Description: How can generative artificial intelligence (AI) be leveraged to transform and modernize life insurance? Gain an overview of AI and some of their current use cases in the industry, including the latest trends in the market. Next, you will learn about the current challenges companies face, including costly underwriting procedures, customer acquisition and retention, and complicated application processes. Finally, explore how generative AI can help address these challenges, improve customer experience and help streamline processes to free up more time for higher-level business insights and other company initiatives.

Description: Focus on Accelerated Underwriting (AUW) in the life insurance industry, which is an expedited underwriting process that utilizes predictive models. Expect to address the challenges in designing the process, from modelling to performance monitoring. Additionally, you'll address risk management, particularly in mortality and proxy discrimination andhighlight the role an actuary can play in the AUW process, as well aswhat they should know to contribute effectively.

Description: In this wide-ranging session, expect updates on the work of the Individual Life Experience Committee and delve into some interesting recent research. You'll gain an update on recent findings from the Individual Life Experience Committee regarding individual life mortality experience.