Description: Results from the 2008 survey of the Policyholder Behavior in the Tail [PBITT] working group. The goal of the survey was to gain insight into companies’ assumptions in the tail of a stochastic calculation.

Description: Few product innovations have transfigured the variable annuity (VA) industry as much asguaranteed living benefits (GLBs).

Description: An overview of guaranteed lifetime withdrawal benefits (GLWB) on registered index-linkedannuity (RILA) products and a stochastic analysis of market risks.

Description: Few product innovations have transfigured the variable annuity (VA) industry as much as guaranteed living benefits (GLBs).

Description: ASU 2018-12 introduced a new concept called “market risk benefits” (MRBs). MRBs are a new accounting classification for benefits within deposit contracts, offering protection from “other than nominal market risk.” This applies to products with account values, including variable and indexed annuities with guaranteed living or death benefits attached (aka GMxBs). ASU 2018-12 Section 944-40-30-19D mentions both a non-option and an option-based valuation approach to account for MRBs. This article considers the option-based approach. The purpose is to highlight weaknesses in the current application of the option approach to MRBs, propose an alternative method, and consider the benefits of the new approach. The intent of this article is to persuade practictioners / actuaries / accountants that this is a better approach for applying the fair value option method to market risk benefits.

Description: This article provides background on managed target volatility funds and how they can be used for variable annuities and the mitigation of gap risk.

Description: There has been significant discussion of PBR for Life Insurance, but there have also been significant changes in PBR for annuities recently; including VM-21, VM-22, and future VM-23. This session will discuss recent changes in PBR for annuities as well as what the future may hold.

Description: A discussion of the growing popularity of annuities with guaranteed minimum income benefits GMIB during times of bear markets and some related discussion of product features, minimum statutory reserves and capital requirements for the product

Description: With advancement of computing technology and innovative product design, creating dependent and nested stochastic scenarios to accurately predict insurance business has become more feasible and affordable than it used to be. However, can technology and research be accessible, applicable and beneficial to all the stakeholders? Sharing research findings and its validation tools has been our interest and focus, and even a resource-saving strategy. The presenters will share a case study on a segregated fund with hedging strategy. We investigate the reserve calculation for its GMMB in an extensive but simplified stochastic model so that our method is adoptable, applicable and extendable to real-word segregated fund/separate account model. The segregated fund model theory and implementation will be presented and its cash flows will be simulated and analyzed for reserve calculation. Varying parameter assumptions will be tested and to be modified for real-world segregated fund with hedging risk for guaranteed benefits. At the conclusion of the session, attendees will gain basic understanding of and access to: - The option pricing model and its application to the segregated fund (variable annuity's separate account) guarantee - Stochastic scenario generators for the interest rates and equity returns - R-code to program from the scenarios simulations to cash flows of hedging errors - Reserve calculations and its sensitivity to various parameter values and - Comparison of methods to increasing efficiency level and the accuracy

Description: This abstract describes a paper that provides a quantitative framework in which two risk management strategies are mathematically formulated.