Description: The session will discuss key areas of statutory reserving that contain some ambiguity or areas where there are simplifications being used in the industry. The content will be based on current practices used in the industry and possibly accompanied by an industry survey to be completed prior to the session. The focus will be heavily on CRVM, AG38, and PBR statutory frameworks and will include a Q&A portion for audience participation. Some potential topics will be reinsurance modeling, DBO3/ROP treatment, segmentation, deficiency reserves, system differences and multi-tiered designs

Description: Analyze the market volatility behavior in context with historical extreme events during this webcast. There will be a focus on understanding volatility clustering and relationships, both contemporary and temporal, in addition to key economic and capital market variables. You'll also learn from a comprehensive attribution analysis, which uses economic data, asset data, retail investor data and event data as explanatory variables. Dive into investment-related Reddit comments used to capture features of retail investors and tree-based models, including Random Forests and Gradient Boosting Machines to justify changes in volatility modeling. Expect this webcast to end with an example of liability-driven investment optimization that illustrates the potential impact of increased volatility assumption, how to adopt stochastic volatility models, how to reflect volatility clustering and return jumps.

Description: Actuarial modernization is defined as a significant step change in an organization's productivity resulting from improvements to the operating model (people, processes, and technology). As an integral part of insurance companies, actuarial departments play a crucial role in the ongoing change of the industry. This webcast will define this transformation, including who is involved, and provide examples on how it is being implemented.

Description: Financial planning and analysis (FP&A) has become increasingly important to the life insurance industry in recent years. Insurance companies must navigate complex changes in financial reporting and capital requirements to manage risk effectively. Furthermore, technological growth has changed the landscape of the theoretical capabilities of FP&A; however, many FP&A areas struggle to implement the sophisticated modeling techniques required to manage the long-term liabilities associated with life and annuity products.

Description: Non-variable annuity principle-based reserving (PBR) VM-22 has a proposed effective date of January 1, 2026. The change in reserving standards may be impactful to annuity writers due to the transition from formulaic to principles-based reserves.

Description: The SOA Research Institute’s Committee on Finance Research is pleased to make available a paper that specifies general considerations to guide the development of a methodology to attribute spread to different investment risks related to AG53.

Description: This webcast will oversee a discussion on the impact of LDTI (transitions and earnings), in addition to day two items and other considerations. Examples include pricing, reinsurance and non-GAAP adjustments.

Description: In 2018, the Financial Accounting Standards Board (FASB) adopted significant revisions to the U.S. GAAP insurance accounting literature, via Accounting Standards Update (ASU) 2018-12. The title of ASU 2018-12 is “Targeted Improvements to the Accounting for Long-Duration Contracts,” and as a result, a common acronym for ASU 2018-12 is LDTI (long-duration targeted improvements).

Description: This session will provide an overview of key considerations and takeaways from the economic scenario generator (GOES) and fixed/indexed annuity reserving (VM-22) field tests. Stylized facts from the new proposed scenario generator will be discussed and a comparison with the existing Academy's scenario generator will be presented. The Main guidelines from VM-22 will be contrasted and compared with CARVM and VM-21, and preliminary model results will be analyzed to understand impacts on pricing, reserving, income volatility, and reinsurance.