Description: Results of a Survey of JRMS members re claims changes due to COVID

Description: This article is an introduction to the topic of mortality projections and their impact on social security systems. The article reviews two life expectancy graphs and overall trends in life expectancy by gender at birth and age 65 in the United States, Canada and the UK.

Description: The Society of Actuaries’ Pension Section has completed a research effort exploring the value of longevity pooling and its implications.

Description: This paper outlines a statistical modeling framework for fitting mortality laws to mortality experience data. The process can be used as an alternative to traditional graduation techniques used in mortality table development.

Description: Mortality improvement rates for AG38 for 2017.

Description: This report reviews estimates of 2017 U.S. population mortality experience from the National Center for Health Statistics’ National Vital Statistics System.

Description: The Society of Actuaries' Group Annuity Experience Committee has completed this experience update, which presents the 2015 through 2016 calendar year experience of retired individuals in the United States who are covered under group pension contracts. This update compares these most recent two years of available experience to the 2011-14 period and analyzes how the recent data affects aggregate annual mortality improvement in the group annuity experience data since 2007.

Description: Guaranteed Issue mortality valuation tables, report, and definition.

Description: Recommendation for a set of improvement factors to be used in conjunction with the 2008 Valuation Basic table or the 2015 Valuation Basic table

Description: Last year, the COVID pandemic significantly increased the pace of change in the life insurance industry, particularly in Accelerated Underwriting (AU). In the past, underwriting process changes occurred relatively infrequently and over a matter of years. Now, with new data sources and predictive models constantly evolving, the frequency of underwriting enhancements and decisioning changes, particularly in AU programs, is occurring every few months. With so much change occurring quickly, how can a company effectively monitor and understand the effects of these changes to make continuous adjustments with confidence and agility? Well-designed data visualizations allow a reviewer to navigate and comprehend detailed results quickly because our brains can process data in a picture format more than 15 times faster than text. Today’s advanced BI tools can make AU program monitoring more efficient and help companies adjust quickly to the results from program changes.