Description: The Individual Life Experience Committee continues to unlock valuable insights from the VM51 data as the National Association of Insurance Commissioners (NAIC) releases it. In this session, attendees will get a preview of individual life mortality patterns during COVID-19 for more than 100 companies in the NAIC data from 2020 to 2021, the first years of the pandemic. Attendees will also see early findings from the Committee's latest initiatives. These include integrating predictive analytics into its reporting products, assessing the impact of simplified and accelerated underwriting, exploring joint life mortality, evaluating company differences, and continuing its research into old-age patterns. Attendees will leave the session armed with additional knowledge for assessing best-estimate mortality for valuation.

Description: Modern Actuarial work, being quite data intensive, provides many opportunities for actuaries to use the statistical skills that are part of their basic training. Furthermore, modern computing allows us to analyze vast quantities of data intensively, and each package will provide statistical "answers" to any questions the actuary might ask of it. However, in this particular field, it is often worth taking a step back, and ensuring that we recall and consider the warnings that come with each of the statistical procedures we might attempt to use. This will allow us to ensure that we guard ourselves against drawing inappropriate conclusions, which could come back to haunt us later.

Description: An overview of guaranteed lifetime withdrawal benefits (GLWB) on registered index-linkedannuity (RILA) products and a stochastic analysis of market risks.

Description: On October 4–5, 2025, actuarial educators and researchers gathered in New Orleans for the Actuarial Mathematics and Actuarial Education Special Session at the American Mathematical Society (AMS) Fall Southeastern Sectional Meeting. The event brought together seventeen speakers from universities, professional societies, and industry to discuss the future of actuarial education, practical applications of actuarial methods, and advances in actuarial modeling. The session featured rich discussions on artificial intelligence in actuarial education, experiential learning through case studies, competency-based assessments, and industry-integrated research courses. Applications-focused talks addressed mortality shocks from COVID-19, disaster aid modeling, queuing systems, health and longevity metrics, healthcare reserving, flood risk in real estate, and value-based insurance contracts. The final segment highlighted advanced actuarial models, including optimal insurance with incentives, variable annuity hedging, extreme risk inference, AutoML for insurance, and privacy-preserving data collaboration. Overall, the session emphasized collaboration, innovation, and adaptability as essential for advancing actuarial science in an era of rapid technological and societal change.

Description: This session guides actuaries through the key steps of building a principles-based valuation model for a life product, starting with a brief overview of key requirements in LDTI and VM-20.

Description: Article describing content and key takeaways from experience completing the SOA PA Certificate

Description: The presenters will discuss predictive analytics as applied to recent group life and disability experience studies and other applications.

Description: The optional phase-in period for life principle-based reserves (PBR) has come to a close, and companies have put in the work to bring their PBR implementations across the finish line. With the mandatory PBR implementation deadline behind them, companies can turn their attention from compliance to model and process improvements. The presenters will outline lessons learned from PBR implementations and their applications to broader use cases, as well as resources that are available for PBR modelers. Discussion topics will include items such as: Model simplifications and validation Model run-time techniques Model scalability (e.g. adding new products / future assumption updates) Sensitivity testing Model projections Available PBR & other modeling resources (e.g. PBR practice note, ASOP 56)

Description: The purpose of this article is to revise the fuzzy regression portions of earlier studies and to discuss issues related to the Tanaka approach, including a consideration of fuzzy least-squares regression models. From Actuarial Research Clearing House, 2006.