Description: The interaction of section 7702 cash value accumulation test [CVAT] and state nonforfeiture laws [SNFL] create a dual limitation on traditional life insurance contratcs. CVAT limiting the maximum permissible cash value and SNFL requiring a minimum cash surrender value. This article examines these dual limitations.

Description: This study and report have the following primary purposes: 1. Evaluate recent mortality experience relative to standard industry mortality tables, at a broad level. 2. Observe general trends in mortality experience by key policy characteristics. Where possible, provide insights into the industry changes contributing to the observed trends. 3. Provide the underlying data in spreadsheet pivot table format for further investigation by qualified actuaries. Provide data also in a delimited text file and Tableau dashboards for use with other software tools.

Description: Defining fairness for life insurance processes is complex and challenging as well as subjective. This webcast will be a discussion of the challenges and opportunities presented as our profession rethinks fairness in the context of processes involved in developing and managing life insurance, especially risk classification.

Description: The Society of Actuaries will be offering this webinar series intended to educate and investigate aspects of life insurance, annuity, and long-term care product tax compliance. Developed by the Taxation Section, participants will be brought up to date on recent Internal Revenue Service (IRS) guidance and learn about the newest tax issues related to product design and administration. Legal, IRS and product development experts will provide vital insights into the challenges of developing and administering products within the requirements of the Internal Revenue Code (IRC) and allow ample opportunities for questions and information exchange. This session will provide an intense introduction to the basics of product taxation, with a focus on life insurance and the requirements of Section 7702A.

Description: This video from Ben Keslowitz explains the concept of reinsurance, which is a financial arrangement where insurance companies transfer portions of their risk portfolios to other parties, known as reinsurers. This helps insurers manage large or catastrophic claims and optimize their risk components. The video also covers different types of reinsurance, such as proportional liability reinsurance, non-proportional reinsurance, and quota share coinsurance, each serving different purposes in risk management. Additionally, it discusses the reasons insurers might choose to reinsure their business, including liability risk mitigation, investment risk transfer, and entering new markets.

Description: Mortality Model Selection and Combination in RAlternative approaches for selecting mortality models and forecasting mortality have been proposed. The usual practice is to base mortality forecasts on a single mortality model selected using in-sample goodness-of-fit measures. However, cross-validation and other alternative out-of-sample measures are increasingly being used in model selection, and model combination methods are becoming a common alternative to using a single mortality model. Such methods combine predictions from multiple mortality models to reduce model choice uncertainty and improve forecast accuracy. Explore techniques to select and combine mortality models using the freely available open source R package CoMoMo (https://github.com/kessysalvatory/CoMoMo), which extends the widely used R package StMoMo (https://CRAN.R-project.org/package=StMoMo). We will use data for the USA and other countries to discuss and demonstrate four different model combination approaches including simple model averaging, Bayesian model averaging, model confidence set, and stacked regression ensembles.

Description: "Living to 100 in the time of COVID-19: A Study of Late –Life Mortality Trajectories, Leonid A. Gavrilov, Ph.D., Natalia S. Gavrilova, Ph.D., Academic Research Centers, NORC at the University of Chicago Swedish Mortality Does Not Decelerate in Recent Cohorts, or Does it? – Roland Rau, Ph. D., Professor, University of Rostock & Max Planck Institute for Demographic Research, Rostock, Germany; Marcus Ebeling, Ph.D., Karin Modig, Ph.D., Associate Professor, Anders Ahlbom, Ph.D., Professor Emeritus, Karolinska Institute, Stockholm Sweden; Kai Kaufhold, Aktuar DAV, Ad Res Advanced Reinsurance Services GmbH, Cologne, Germany; Annika Ziegler, Lukas Stake, Hochschule Koblenz & Ad Res, Germany"

Description: In this session, presenters will share the impacts of transition to IFRS 17 on equity and various KPIs across insurance companies (Life & P&C), as well as share some observations of what the IFRS 17 landscape looks like across different global regions. The session will conclude with lessons learned and expectations for emerging practices under IFRS 17 globally.

Description: A literature review was performed on mortality improvement, socioeconomic differences in mortality and their links to specific causes of death, and methods for analysis. It highlighted the fact that socioeconomic status (e.g., income and education) is closely linked to differences in mortality and that the longevity gap between socioeconomic groups is growing over time. It also informed the selection of key variables and the need to view mortality improvement as a complex interaction between specific causes of death.

Description: LIMRA, Reinsurance Group of America (RGA), the Society of Actuaries (SOA), and TAI have collaborated on an ongoing effort to analyze the impact of COVID-19 on the individual life insurance industry’s mortality experience and share the emerging results with the insurance industry and the public. The Individual Life COVID-19 Project Work Group (Work Group) was formed as a collaboration of LIMRA, RGA, the SOA, and TAI to design, implement, and create the study and to produce and distribute a variety of analyses. This report is the fifth public release from this collaboration and contains the results of a cause of death analysis focused on how the rates of death for various causes were impacted throughout the pandemic period through the first quarter of 2021.