Description: Description of the increased gamma of the liabilities of a portfolio of variable annuities. Discussion of the sensitivity of gamma due to changes in policyholder behavior.

Description: Important tools used in property & casualty P&C insurance—predictive modeling and data mining—can be applied to more effectively model policyholder behavior risks in variable annuity VA contracts. In this article, a case study is used to demonstrate how a predictive modeling approach can improve upon traditional methods used to model VA lapse behavior.

Description: This article discusses a new procedure for correcting inadvertent failures to satisfy the diversification requirements applicable to variable annuity and life insurance contracts under section 817h of the Internal Revenue Code.

Description: Discusses PLR 201105012, the investor control doctrine, and how the IRS concluded that shares of a Lifecycle Fund, available only through a life insurance company's separate account, still can be considered owned by the insurer and not the policyowner for federal income tax purposes even if it at least partly invests in shares of public funds.

Description: The article discusses PLR 201632004, which addresses the partial annuitization rules of IRC section 72(a)(2) in the context of a deferred income annuity rider attached to a variable deferred annuity contract.

Description: The article summarizes several recent private letter rulings from the IRS addressing the "investor control" doctrine in the context of funds of funds.

Description: The speaker will discuss the training of neural networks to compute future Greeks of liabilities (or options) without the use of nested stochastics.

Description: Representing a large indexed annuity writer, the speakers will discuss the growth and evolution of the market for index annuity products. Moreover, the challenges that growth has introduced and how those challenges are being met. While much of the market consists of simple, accumulation-oriented S&P 500 based strategies with 0% return floors, a significant portion of industry sales come from more complex products with highly customized index strategies and other features, such as living benefit guarantees. Attendees will gain a broad understanding of the indexed annuity market, product and features, operational difficulties in risk management arising from product design, and how actuarial and hedge professionals are managing these issues.

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: The Joint Risk Management Section is trying to develop better estimates of policyholder behavior in the tail [PBITT]. The mission of the PBITT working group is to examine and ultimately give guidance to actuaries on how to set policyholder assumptions in extreme scenarios. As part of its work, the PBITT working group issued its sixth survey to gather the range of assumptions actuaries use in pricing, reserving, and risk management of minimum guarantees on Variable Annuity products, such as death benefits, income benefits, withdrawal benefits and maturity benefits. This document contains the results of that survey.