Description: This research report introduces Delta Boosting as a new member of the boosting family.

Description: This paper demonstrates an approach of modeling experience, and then interpreting the model and residual errors.

Description: This paper discusses some key challenges of embedding guarantees in DC plans, including setting an appropriate guarantee level, designing effective cost funding and risk management strategies, and fair treatment of plan participants with different investment strategies.

Description: This report concerns optimal new business written premium mix at the firm and state levels under varying competitive conditions.

Description: The SOA is seeking proposals to study how recent U.S. obesity trends—especially the use of anti-obesity medications—may impact future mortality across demographics for actuarial applications

Description: Impact of Family Structure on Aspects of Retirement

Description: 2024 Election Message for David Dillon

Description: In recent years, Artificial Intelligence (AI) has taken an increasingly prominent role as a potential tool for improving processes from standard internet searches to its use in improving actuarial modeling through machine learning and other applications. The use of AI models and machine learning could lead additional and ongoing improvement of predictive capabilities in health care reserves resulting in potentially more accurate reserve estimates, financial statements and decreases in model variance.

Description: 2024 Election Message for David D. Ingram

Description: This is a detailed report analyzing the 2019 Individual Life Insurance Mortality Experience, focusing on data validation, trends in mortality experience, and comparisons between different datasets. It includes insights on mortality patterns by age, sex, policy characteristics, and provides detailed methodology and findings.