Description: Accounting Standards Update (ASU) 2018-12, commonly referred to as long duration targeted improvements (LDTI), is the most significant GAAP accounting change impacting the life insurance industry in the past 40 years. This article discusses the impact of LDTI on variable annuities (VA) and fixed indexed annuities (FIA) from a product development and in-force management angle. Detailed discussion topics include hedging and ALM, product strategy and development, and pricing. LDTI will cause many VA and FIA writers to re-evaluate their hedging and asset liability management (ALM) strategy following the move to fair value accounting under the new MRB requirement. Stakeholder appetite for accounting volatility and resulting changes to hedging and ALM may trigger changes in product mix and designs. In addition to updating pricing infrastructure to handle the new requirements, pricing actuaries will need to produce analyses to educate stakeholders on the risks and pricing implications of any changes to designs, hedging and ALM.

Description: These products effectively provide policyholders access to an equity index with an option pass-through. This new direction blurs the line between more traditional variable annuity and fixed indexed annuity products. This session will discuss these and other similar product innovations, including some interesting regulatory, accounting, and risk management considerations.

Description: This article discusses a variety of new developments in the annuity market.

Description: Proposes an approach to develop dynamic assumptions for living benefits using a combination of available experience data and predictive modeling techniques.

Description: The purpose of this paper is to help practitioners and regulators more accurately quantify the potential impact of market risk on insurance products with equity-linked guarantees. To this end, this paper examines time series model selection and assessment based on residuals, with a focus on regime switching models. Also it discusses the difficulties in defining residuals for such processes and propose several possible alternatives. We determine that a stochastic approach to defining the residuals is the only way to generate residuals that are normally distributed under the model hypothesis.