Description: The primary purpose of this paper is to demonstrate, through a basic stochastic projection model, how inflation might impact savings and investing for retirement.

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.

Description: In memory of Bruce Paterson.

Description: 2024 Election Message for David D. Ingram

Description: 2024 Board Member Candidate Page for Hassan Scott Odierno

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: 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: The digital revolution has transformed the insurance sector, introducing new technologies and innovative players. Traditional insurers face challenges from Big Tech and insurtech startups, prompting them to adapt or innovate. This study presents a framework to analyze market dynamics and potential partnerships, helping insurers identify competitive advantages and future paths in a digital era.