Description: This is report summarizes the results of a Joint Risk Management Section sponsored study on negative interest rates and the insurance industry.

Description: In the past months, as COVID-19 has forced the reduced activity in the U.S. economy there has been some very substantial, but varied effects on the U.S. healthcare system. There is a lot of potential for confusion amongst providers and patients with regards to decisions related to which services ought to be rendered and which ought to be deferred. Two specific agencies – the Centers for Medicare and Medicaid Services (CMS), and the American College of Surgeons (ACS) have put together some guidance to add more clarity towards what types of services should be provided and what types ought to be deferred. In addition, this paper includes a discussion on what types of services are most likely to be deferred, and which ones will accrue pent-up demand to be released when many of the deferred services become available again.

Description: Social Determinants of Health (SDOH) include the social and physical conditions in which people are born, live and work on a daily basis. This project advances a growing body of literature to inform the ongoing optimization of population health and payment models.

Description: This is a brief report that summarizes recent changes in the prevalent medical loss ratio methodologies and also looks at some of the more recent experience of health insurers that filed medical loss ratio reports.

Description: Initiated by the Product Development Section, this report examines global product development (PD) practices of life insurance and annuity companies.

Description: The Society of Actuaries announces the release of a new report that will provide a resource for the insurance industry to learn about image recognition technology. Authored by Kailan Shang, the report explores the current status of image recognition technology, models for image recognition, and various possible applications of image recognition to insurance.

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: Supporting excel file for April 2021 weather extremes.

Description: Decentralized finance, or DeFi, is an emerging financial system powered by blockchain technology. This research report aims to introduce actuaries to DeFi and help them develop a solid understanding of DeFi. It will begin with addressing “what is DeFi?” by providing an introduction on blockchains and DeFi. It will then discuss in further detail the key characteristics, applications, opportunities, and risks of DeFi. After providing the foundation, this report will discuss the potential adoption of DeFi and its interaction with the current financial system (sometime referred to as traditional finance for contrast with DeFi), and the implications for practicing and aspiring actuaries. In addition, a glossary of terms used in DeFi and a brief history of the development of DeFi have been included in the appendix.