Description: Stay current with the latest mortality trends and practices in this wide-ranging session, covering research performed by the SOA and their collaborators, including recent research from the SOA's Individual Life Experience Committee. Topics will include mortality improvement, mortality by socioeconomic category, cause of death analysis, and insurance company life experience quintile analysis.

Description: Come check out opportunities and challenges associated with using predictive analytics for LTC. You'll learn how carriers are using predictive analytics to support a range of business functions, including: - Pricing - accelerate underwriting without jeopardizing the risk profile for your new products - Experience studies - enhance your understanding of block performance and capture more granular experience trends in your assumptions with less subjectivity - In-force management - facilitate insight-driven interactions that improve policyholder satisfaction and optimize operational costs Expect panelists to discuss the infrastructure required to deploy predictive analytics and the ways in which predictive analytics can help drive key outcomes, including, improved market competitiveness, enhanced understanding, improved efficiency, and better policyholder outcomes. They will also talk about key hurdles to adoption, and considerations for overcoming these hurdles.

Description: Actuaries too often get pulled into data management activities, taking them away from the analysis work they enjoy and were hired to do. Without a good relationship between actuaries and IT, this can persist even at companies that have been through finance transformations. Gain insight as we focus on the important relationship between actuaries and IT, and how they can work together on best practices for extracting, managing and using the policy data needed for actuarial models. Join our discussion on a variety of data governance and control practices used when extracting policy data from administration systems. Actuaries and IT must work together to create clear data dictionaries that fully document all steps taken as policy data runs through the exchange, transform and load (ETL) processes prior to being used in actuarial models.

Description: This article details different methods for calculating mortality impact associated with new underwriting programs. A common simplified calculation is compared and contrasted with two first principles approaches. The strengths and weaknesses of both approaches are discussed.

Description: Discusses the market, demographic, and macroeconomic factors that affect actuaries' choices for the assumptions they use in the pricing and valuation of many insurance products.

Description: Electronic health records (EHRs) are one of the fastest-growing digital health data categories, with over 90% of carriers using or evaluating EHRs for underwriting, according to a recent Munich Re survey. This session brings you up to speed on the current (and future) state of EHRs.

Description: This webcast will walk through several statistical methods for imputing race and ethnicity from U.S. datasets, highlighting their strengths and weaknesses, talking about how to use them and evaluating their accuracy, and telling you where you can get code packages as well as a free dataset to try the methods out.

Description: This report is a study. It discusses the objectives, scope, methodology, and limitations of the study, focusing on how diagnosis affects disability income claim recovery and mortality rates.

Description: This report focuses on the Fixed Indexed Annuity (FIA) contract owner behavior study conducted by the SOA Research Institute and LIMRA for the years 2021-2022. It includes detailed analyses on withdrawals, surrender rates, contract values, distribution channels, and more.