Description: As companies have reported their latest financials for 2023, LDTI is in its full swing for the public companies. Under US GAAP reinsurance accounting methods can be daunting. Add onto this legacy practices related to reinsurance reporting and this may lead to significant unwinding and implementation efforts. This session will discuss industry practices commonly applied to US GAAP reinsurance reported balances such that LDTI adopters can gather deeper insights into the LDTI impact. Specifically, the session will explain the two most popular methods to value reinsurance under LDTI, methods applying a direct measurement of the reinsurance net cost and a method that recognizes ceded asset balances and a cost of reinsurance (“CoRe”). The session will present simplified direct and ceded models to demonstrate how the actuarial balances under LDTI impact GAAP book profits for different underlying products and reinsurance types.

Description: This session will examine bias from a social science perspective. It will discuss the three types of systemic biases using the National Institute of Standards and Technology (NIST) model. The NIST model details the three types as historical bias, societal bias, and institutionalbias. The session will also provide several examples of each type to provide a framework for identifying the social structure of bias.

Description: The Society of Actuaries Research Institute, in collaboration with Reinsurance Group of America, Incorporated, a leading global life and health reinsurer, announced findings from new research on behavioral science for the life insurance sector. This research simulated online term life insurance purchasing to test behavioral science techniques.

Description: The Canadian Institute of Actuaries and Society of Actuaries Committee on Life Insurance Research, the Product Development Section and the Financial Reporting Section, sponsored this study investigating how the Canadian life insurance industry is utilizing predictive modelling.

Description: This article provides an alternative method to the computation of the Reduction in Benefits Test under 7702A. Part 1 provided for reduction in death benefits. Part 2 provides for reduction in Qualified Additional Benefits.

Description: The session will discuss key areas of statutory reserving that contain some ambiguity or areas where there are simplifications being used in the industry. The content will be based on current practices used in the industry and possibly accompanied by an industry survey to be completed prior to the session. The focus will be heavily on CRVM, AG38, and PBR statutory frameworks and will include a Q&A portion for audience participation. Some potential topics will be reinsurance modeling, DBO3/ROP treatment, segmentation, deficiency reserves, system differences and multi-tiered designs

Description: After years of discussion and debate, PrinciplesBased Reserving (PBR) is finally a reality. Small insurance companies have a unique opportunity to decide between electing for the company-wide exemption or adopting the PBR methods. This article discusses the benefits and challenges of the options available to small insurers under VM-20 as well as best practices that have been found along the way.

Description: We're introducing a new “cutting edge” wealth accumulation predictive framework, the predictive equity analytics (PEA) for life products (annuity, insurance, group employer benefits, retirement plan). PEA enables life insurers and policyholders to avoid market downturns and capture returns from equities (stocks, ETFs and mutual funds) predicted to increase in next one to three trade days via fund prediction advisory by insurers, additionally by individual policyholders. The capability does not exist in insurance markets nor in financial intermediary markets.

Description: This report explores conversion rates and post-conversion experience using predictive analytics.

Description: The surge in interest rates over the past few years presents opportunities for life insurers to enhance their Asset and Liability Management (ALM) positions through asset rebalancing to narrow the duration gap and secure higher risk-adjusted yields. This webcast introduces a robust, efficient and readily-executable, liability-driven strategic asset allocation (SAA) framework and implementation considerations. At the conclusion of the webcast, attendees will learn about the key objectives and practical considerations for a successful SAA.