Description: This article describes considerations that reinsurers take into account when pricing for term conversions and gives suggestions regarding items that the writing company may want to take into account.

Description: A discussion of an alternative valuation methodology which addresses many of the shortcomings of the current valuation system for U.S. life and health insurers one of which is the proliferation of undesirable variations in state requirements. Issue No. 37

Description: Situated at the intersection of psychology, neuroscience, sociology, and economics, behavioral economics (BE) centers on applying an honest understanding of human behavior to practical problems. This report is designed to provide general familiarity to the reader interested in the subject of BE and motivate additional research on the topic.

Description: This report examines the use of a copula approach to build a predictive model to estimate the amount of economic capital a life insurance company needs to protect itself against an adverse movement in interest rates, mortality, and other risk drivers.

Description: An update of selected key graphs from the Key Statistics section of previous COVID-19 briefs.

Description: This report provides various summaries of the above listed data and provides observations from these summaries, with a goal to help actuaries understand the emerging trends in mortality due to COVID-19.

Description: This study estimates the number of COVID-19 confirmed cases and reported deaths by hospital referral regions (HRR) using Johns Hopkins University COVID-19 data by U.S. county and the Dartmouth Atlas Project division of counties into HRRs.

Description: Taking Life Insurance Customer Engagement to the Next Level, commissioned by the Society of Actuaries and produced by Aite Group, uses consumer insights, market trends, and domain expertise to provide ideas that can help insurers create better customer relationships and drive better outcomes for customers and their organizations.

Description: One of the evolving datasets with the COVID-19 Research Database is the Datavant population mortality information. This report notes the features of the database, discuss their potential use and limitations, examines data reliability and reviews it potential use as an additional data set and input to mortality improvement models.

Description: This report models and forecasts future mortality improvements in China, by geographical regions, as well as by causes of death. Deaths and population exposures data provided by the Chinese Center for Disease Control and Prevention was used for the period 2004–2019.