Description: The definition of simplified issue business developed by the Society of Actuaries and the Academy of Actuaries.

Description: In the second quarter of 2022, publicly traded life insurers reported some of their best financial results since the pandemic began. COVID-19-related claims fell sharply in many product categories. Sales, which had taken a big hit, showed significant improvement as well, though not always to pre-pandemic levels. Sales activity was enough, however, for industry executives to report confidently in their quarterly conference calls that in this regard the worst consequences of the pandemic are over.

Description: Using recently updated data from the United States Mortality Database (USMDB, usa.mortality.org), this report presents an overview of historical mortality trends in all 50 U.S. states and the District of Columbia for the period 1959-2018.

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 report summarizes the results of a 2022 survey examining mortality improvement practices of life and annuity companies in the U.S. and Canada.

Description: This paper explores how molecular biology, specifically epigenetics, may impact the life insurance industry, and considers the effects of utilizing epigenetic biomarkers for underwriting.

Description: The Individual Life Experience Committee has completed their latest report on intercompany mortality experience by amount of insurance under standard individually underwritten issues. This includes study years 2009-2015.

Description: The Society of Actuaries (SOA) Research Institute’s Mortality and Longevity Strategic Research Program Steering Committee issued a call for essays to explore the application of artificial intelligence (AI) to mortality and longevity. The objective was to gather a variety of perspectives and experiences on the use of AI in mortality modeling, forecasting and prediction to promote discussion and future research around this topic. The collection includes six essays that were accepted for publication from all submissions. Two essays were chosen for prizes based on their creativity, originality, and likelihood of further thought on the subject matter.

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: The authors examine 19 factors to determine which were most closely linked to permanent and term life insurance premiums sold in the United States in 2020. With spatial regression analysis using multi-scale geographically weighted regression (MGWR) approach, the authors find the following 5 covariates to be the most statistically significant for and positively correlated with permanent insurance sold: household income, percentage of the population that is African American, education, health insurance, and Gini index (a statistical measure of wealth inequality)