Description: This research report summarizes current research on retirement adequacy and compares different measures.

Description: Different mortality projection methodologies are utilized by actuaries across applications and practice areas. As a result, the MIM Advisory Group developed a single framework to serve as a consistent base for practitioners in projecting mortality improvement.

Description: Decentralized insurance alternatives is a rapidly expanding sector of Decentralized Finance (DeFi), an emerging and growing financial ecosystem powered by blockchain technologies. The purpose of this report is to review and discuss the business models and operating designs of decentralized insurance alternatives, which may have significant implications for traditional insurance businesses, as well as the actuarial profession.

Description: This project pertained to the development of anew Actuarial Science Learning Community model, involving four types of students' engagement: academic coursework, residential life, research, and professional development. The model provided students an immersive exposure to Data Science from the Actuarial perspective, which will result in Actuarial students greatly expanding their skill set and future job opportunities, at the intersection of Actuarial Science and Data Science.

Description: Non-guaranteed elements are parameters of life insurance and annuity polices that are not fixed when the policy is issued but may be changed from time to time by the insurance company.

Description: This report is a comprehensive survey of existing literature on mortality and race and ethnicity in the United States, examining disparities in mortality rates among different racial and ethnic groups. It explores factors influencing mortality differentials, including socioeconomic status, health care access, and other relevant aspects.

Description: The document is a report on U.S. Population Mortality Observations updated with 2022 experience by R. Jerome Holman, FSA, MAAA. It covers mortality trends, analyses by factors like sex, age group, and cause of death, and includes methodological details for the data presented.

Description: This podcast series is an exploration of the paper “Long Term Drivers of Future Mortality” written by Yair Babad and Al Klein. The podcast aims to raise awareness of the paper's valuable insights and make it a useful resource for actuaries, underwriters, insurers, demographers, academics, economists, public health officials, and others involved in estimating future mortality trends and their implications.

Description: Explore essays that examine the extent climate change factors are or will contribute to excessive heat-related morbidity or mortality over the short or long term, including probable scenarios and projections of future morbidity and mortality costs, risks and uncertainties.

Description: The Modeling Section, Predictive Analytics and Futurism Section, Committee on Life Insurance Research, Product Development Section and Reinsurance Section releases a report that can help to educate actuaries on how best to implement predictive modeling into relevant areas of actuarial practice. This report includes a review of existing literature and current industry practices, as well as a comprehensive set of considerations for predictive modeling in insurance applications.