Description: VA reserve and capital reforms are effective 1/1/20 and the first year of reporting under the new framework requires several key milestones for annuity valuation actuaries to achieve. Discuss key implementation issues, including the new standard projection, optionality around hedge treatment and taxation, discuss disclosure requirements as well as the PBR report requirements. Overall focus on decisions to be taken by a valuation actuary with respect to reporting under the new framework.

Description: This session will have two sections: General consideration of IFRS17 implementation for VA writers and reinsurers A case study of IFRS17 implementation for a reinsurer The first section will go over VFA and GM approaches that are available for VA writers. Both approaches have their own challenges. We will highlight some of the challenges and how to approach/overcome them. Additionally, we will discuss how hedging/ALM can help smooth the transition. The second section will go over the details of implementation process of a VA reinsurer. The case study will explore valuation challenges unique to reinsurers assuming business that would otherwise be valued under the VFA. It will also go over some of the modeling difficulties, project management, and database requirement.

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

Description: An overview of the evolution of equity-based guarantees (e.g. VA, FIA, etc.) over the last few years and discussion the current lay of the land as it relates to the regulatory, issues, capital markets environment in which these products are offered.

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: There is no “industry standard” approach to managing the vega (volatility) risk inherent in Variable Annuity Guarantees, Fixed Indexed Annuities and other equity-linked obligations. In this session, we will introduce and analyze a range of reinsurance solutions, including full vega risk retention, full vega risk transfer and more sophisticated or custom structures that split the vega risk between the insurer and the reinsurer in various ways. We will also explore other approaches in bespoke risk coverage and show the impact of different assumptions on a generic “VA Guarantee Cost Estimate” that has been developed by Munich Re.

Description: While our ability to access and analyze large quantities of data is better than ever, many long-term products suffer from sparse data in critical risk areas, such as deep in-the-money lapse experience and long-term utilization rates for income guarantees. The presenters will explore industry-level annuity experience data for these types of situations, and discuss quantitative approaches to addressing them in pricing and other applications.

Description: What we should look out for heading into one, how long and how deep would one last?

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.

Description: Regulatory change and increased focus on internal risk management are driving a renewed interest in model efficiency. In this session, we will review several new and existing tools, that show significant promise for advanced modeling of equity linked products. These include: • Clustering • Use of unique--and potentially a different number of--scenarios for each policy • Semi Monte Carlo (SMC) – this is a proprietary technique that is similar to a combination of Monte Carlo and numeric integration • Using a neural network approach to optimize some of the more complex and manual aspects of clustering and improve the fit of the clustered model • Combining SMC with the use of unique scenarios per policy