Description: After three decades of relatively stable overall inflation trends, the United States has seen significant increases over the last twelve months. What could this mean for inflation in the medical sector? Explore past patterns between the two phenomena, and what drivers stakeholders can monitor to be best aware of what could be coming.

Description: Learn about key topics affecting actuaries working in the dental insurance space! The session will include valuable information for health actuaries looking to better understand how dental fits into Medicaid, Medicare, commercial, and ACA markets.

Description: This research report that provides a literature survey of methodologies applying machine learning to insurance claim modeling.

Description: This literature review provides insights on emerging technologies that interact with the actuarial profession within the space of microinsurance for the purpose of establishing a frame of reference for actuaries to use in their work. Furthermore, it intends to spark readers’ interest in, and create a vision for, how microinsurance and its associated technologies may impact the actuarial industry in the future.

Description: This report introduces actuaries and risk managers in the insurance and pension industries to current literature discussing growth rates in the past and future expectations.

Description: Situated at the intersection of psychology, neuroscience, sociology, and economics, behavioral economics (BE) centers on applying an honest understanding of human behavior to practical problems. This report is designed to provide general familiarity to the reader interested in the subject of BE and motivate additional research on the topic.

Description: A brief overview of recent AIT research papers in summarized format.

Description: The emergence of technology to advance data visualization has helped uncover hidden insights in our data that was previously difficult to do. Designing engaging charts and crafting gripping stories through visualization has never been easier. This session will focus on understanding the fundamentals and considerations when deploying data visualization and selecting the best data visualization tool. Additionally, the course will provide an example of creating advanced data visualizations using Power BI.

Description: The National Association of Insurance Commissioners (NAIC) has developed the Group Capital Calculation (GCC) for U.S.-based insurance groups since late 2015. GCC is designed to provide a coherent analytical framework to show a panoramic, transparent view of the interconnectedness, business activities and underlying capital support for an insurance group. The last field testing was completed in May 2019. The final proposal was adopted in late 2020. The Federal Reserve Board (FSB) also recently updated the group capital standard to an aggregation method, which is similar to the NAIC GCC. The Insurance Capital Standard (ICS) is under the development by International Association of Insurance Supervisors (IAIS) for Internationally Active Insurance Groups (IAIGs). It has entered the five-monitoring period from January 2020 to monitor the performance of the ICS V2.0 and the IAIS will perform a comparability assessment of the ICS V2.0 with the Aggregation Method (e.g. NAIC GCC) during this period.

Description: This session will present results of the most recent SOA/LIMRA studies of variable and fixed-indexed annuity policyholder behavior including withdrawal behavior, guaranteed living benefit elections and surrender activity. Conducted annually since 2006, a discussion on the results of these studies show how they have changed over time, as well as areas where the analysis will need to change or expand. After that, the presenters will focus on dynamic lapse for hot money businesses, which is an important topic for fixed deferred annuity. Key takeaways from this area will include an understanding how to differentiate between hot money and warm money, the different formulas used in the industry, and how to adjust an asset portfolio to protect against the risks associated with hot money businesses.