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: This article describes how to model variable annuities using a GPU along with some of the stumbling blocks.

Description: Feature article discussing the variable annuity industry rebuilding and reinventing itself.

Description: Derives appropriate hedge ratios for CPPI strategies, taking into account discrete hedge times and market dislocations (gap risk).

Description: The article described two methods for calculating the benefit ratio described in AICPA Standard of Practice SOP 03-1. Method 1 calculates the benefit ratio as the quotient of the expectation of A and the expectation of B where A is benefits and B is assessments. Method 2 calculates the benefit ratio as the expectation of the quotient of A and B.

Description: This article briefly describes the guarantees available within the segregated Fund products sold in Canada along with the associated risks and cost factors.

Description: Variable insurance products are popular in the marketplace. They are risky to insurers partly because the guaranteed minimum living and death benefits give policyholders great control of their policies. In this article, the author investigates managing policyholder behavior.

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

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.