Description: Experience report for life insurance policies with face amounts of $1 million or higher.

Description: Gather with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, pension, investment, product strategy, and more.

Description: After years of discussion and debate, PrinciplesBased Reserving (PBR) is finally a reality. Small insurance companies have a unique opportunity to decide between electing for the company-wide exemption or adopting the PBR methods. This article discusses the benefits and challenges of the options available to small insurers under VM-20 as well as best practices that have been found along the way.

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: Technology now supports customized non-level death benefits which help consumers optimize their coverage and cost. Creating individual policies and individually pricing them for a level premium quote is the start of personalizing and optimizing coverage and cost for consumers and pricing life insurance policies at the individual consumer level --- a revolution for actuaries.

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

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.