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: 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: 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

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: 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

Description: In this session, a company will share its experience on managing risks underlying the equity-linked insurance guarantees and what lessons were learned over these years as it adapted its strategies to suit the current market environment.

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

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