Description: The article analyzes Private Letter Ruling 202031008, which considers how Internal Revenue Code sections 72(q) and (u) apply to an annuity contract issued to a trust. In particular, the Ruling interprets the terms “taxpayer,” “holder” and “held by” in those Code sections in situations where a non-qualified deferred annuity contract is issued to a grantor trust or a non-grantor trust. The Ruling’s analysis and conclusions differ in some respects depending on which of these types of trusts is involved. In addition, although the Ruling does not address sections 72(s) or 72(e)(4)(C), the Ruling has potential implications under those provisions because they also use the term “holder” and “holds,” respectively.

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

Description: With freezing and termination of DB plans, there is a growing void in retirees' retirement planning that can best be solved by annuities. The presenters will discuss different ways that annuities can be used to provide retirement income in DC plans. They will also cover industry trends and the challenges of associated with adding annuities within DC plans

Description: Provides in-depth discussion of IRS Rev. Proc. 2008-24, including tax background of partial annuity exchanges. Then discusses partial annuitizations and “modified endowment contracts.”

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.