Description: This report describes two methods, an observation-based analysis and an actual to model analysis, to analyze long-term care insurance experience to determine if calendar year trends exist.

Description: This report describes two methods, an observation-based analysis and an actual to model analysis, to analyze long-term care insurance experience to determine if calendar year trends exist.

Description: Feature article discussing actuarial assumptions in the investment world and financial models.

Description: Summary of industry practices on assumption governance, trend, challenges, and opportunities.

Description: The Product Development Section Council and the Committee on Life Insurance Research of the SOA engaged RGA Reinsurance Company to undertake a research project on level premium term life insurance products with a particular focus on the magnitude and impact of the 'shock lapse' at the end of the level premium period. Mortality was also studied. These are the Excel Pivot Tables for that study. Please see the SOA website experience studies for the full report.

Description: 2009 - 2016 ILEC Mortality Report Appendices

Description: A discussion of the significant challenges involved in attempting to research with robust analysis the impact of disparities in health care access, cost and quality of care on financial wellness across racial, ethnic, socioeconomic and other demographic groups in the U.S. for reasons other than or in addition to income, wealth or employment status.

Description: Exhibits for Predictive Analytics Framework

Description: This report is a technical paper on a Predictive Analytics Framework and Reusable Workflow for Experience Analysis in actuarial studies. It covers data analysis, machine learning models, methodologies, and model interpretation techniques.

Description: We highlight a new approach leveraging predictive analytics to identify high risk and rising risk opioid users for more effective screening and follow-up care.