Description: When annuity products became prevalent in the U.S., they all looked more or less the same. It was where folks put their safe retirement money, yielding modest guaranteed returns with a menu of payout options to help secure their retirement. Over time, this commoditization lead to a pricing squeeze and an exhaustive set of product options and features, exposing carriers to market and policyholder behavior risk over the past decade or so.

Description: The Society's Task Force to Study Risk of Loss from Changes in the Interest Rate Environment C-3 Risk Task Force was formed in March 1981 with the charge to quantify C-3 risk. The Task Force made a preliminary report as part of a panel discussion on C-3 risk at the Society's October 1981 meeting in Atlanta. This presentation provides an update on the progress to date and its future plans.

Description: Panelists provide background and updates on a number of statutory issues relating to life and annuity products, including statutory codification implementation, Actuarial Guideline MMMM, Actuarial Guideline AXXX and implications of the movement to the 2001 CSO table. Changes to federal reporting requirements, through the Sarbanes-Oxley Act, are briefly discussed relative to the recent accounting problems in the news. From the 2002 Record of Society of Actuaries, Volume 28, No. 3. Session 78OF of the Boston Annual Meeting.

Description: Hear from companies & consultants that early adopted VM-21 for year-end 2019. Learn from their experiences in preparing for the significant additional work required for implementation - updating models, assumptions, documentation, etc. Hear about the NAIC review and feedback (if available).

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.