Description: The article shared results from a survey conducted in May of best-estimate VA assumptions as of year-end 2018. Specifically, the discussion focused on lapse, utilization and separate account return assumptions. The results show that a considerable range of practice across assumptions used by the industry for variable annuities. There is a propensity to use complex assumptions to better match the underlying complexity in the products with the behavior expected from policyholders in a dynamic and volatile economic environment.

Description: The article is a summary of Society of Actuaries report entitled “Annuity Market Pricing Approaches” sponsored by the Retirement Section Research Committee. The report examines the Canadian Institute of Actuaries (CIA) methodology of developing solvency valuation assumptions, compares it to methods used in the U.S., and considers if it could be used in other markets, such as U.S. group annuities or individual annuities

Description: The academy generator is now a staple for actuarial practice. Initially confined to regulatory reserving, increasingly companies are using the AAA/SoA generator for a wider and wider range of applications which in some cases may be at the limits of what it was designed for. How is the AAA/SoA generator being applied in reserving, risk management and variable annuity lines of business? What are some of the challenges actuaries face in using this framework and what are the options for addressing them.

Description: An exploration of drivers, cohorts and dynamics for policyholder behavior for VA and FIA based on industry experience data, including changes in recent years and the emergence of long-term data in key areas. We will also discuss critical elements to developing a sustainable and coherent framework to translate this complex experience data into assumption models.

Description: The NAIC has adopted revised VM-21 and AG43 for variable annuities, effective Jan. 1, 2020. The panel of presenters will provide background and an overview of the revisions, discuss detailed aspects of the new CTE Amount Standard Projection and prescribed assumptions, as well as discuss implementation considerations and the implications to hedging. In addition, the panelists will share progress on VM-23, principle-based reserves for non-variable annuities.

Description: The speaker will share his insights into the hedging challenges faced by FIA and VA business in the current market environment.

Description: This session will cover assumption determination for annuities under VM-21 with emphasis on contract holder behavior assumptions, prudent estimate mortality assumptions and measuring credibility.

Description: In the insurance industry, machine learning models are increasingly used to make decisions that affect people's lives. In order to ensure that models are fair, they should be audited for bias. There are no hard and fast rules for bias audit; metrics that can be used to evaluate fairness vary depending on the context in which the model is deployed. In this session, we present a flexible framework that highlights key considerations in bias evaluation that can be adjusted to suit your process. In this session, we will learn about different metrics to assess fairness, discuss open source tools that can be used for bias audit, and walk through a case study.

Description: The proposed revisions to the variable annuity statutory framework and the FASB targeted improvement for long duration contract, motivate life insurance companies to re-evaluate their hedging strategy. Recently proposed revisions of AG 43/VM-21 and C3 Phase II, reward companies that have a clearly defined hedging strategy, if the companies can demonstrate that the valuation model and capital model can estimate real hedge performance accurately. The speakers of this session will discuss the hedging implication of the proposed AG 43/VM-21 and C3 Phase II framework. Additionally, methodology computational requirements, back-testing results under different economic scenarios and the resulting hedge credits of different hedging strategies will be compared, including explicit dynamic hedge and implicit dynamic hedge. The speakers will also touch on the impact of rebalance frequency on the performance of dynamic hedge. Case studies will be presented to provide guidance on practical implementation.