Description: This report provides insights into statistical methods for imputing race and ethnicity in the context of insurance industry disparities. It discusses various imputation techniques, performance metrics, and the evolution of methods over time. The aim is to address the lack of consistent data collection on race and ethnicity in insurance datasets.

Description: A preview of the details and content of the new Certificate in Climate Risk to be offered by the SOA beginning in early 2023.

Description: This research report educates the actuarial community about the various shades of the flood risk as well as the state of the art in quantitative flood risk modeling.

Description: This abstract describes a study in which a goal programming model is constructed for analysis of a non-life insurance sector.

Description: Come discuss modeling costs and its governance, as well as introduce some platforms for more granular asset modeling.

Description: Come dive into the Introduction to Modeling Summer Boot Camp series, which will provide an overview of modeling topics and techniques aimed at the beginner modeler. This interactive Zoom series will be comprised of five 90-minute sessions (August 24, 25, 30, 31 and September 1), with opportunities to discuss the topics in small break-out groups.

Description: This article introduces the reader to probabilistic methods used to model interactions in the financial market place. Three topics are specifically discussed, two concern modeling methods and the other concerns data analysis methods.

Description: The SOA Research Institute has been publishing its annual Getzen Model of Long-Run Medical Cost Trends for the past decade. The Health Care Cost Trends Strategic Research Committee is looking for a researcher to build on the legacy of the Getzen model and provide annual updates to the SOA’s long-term health care trend projections.

Description: The document is a research paper titled "Risk Analysis of the Causes of Food Deserts" authored by Lillian Wang, Audrey Hong, Jaden Chen, and Aaroh Tak for the Modeling the Future Challenge 2023-2024. It analyzes food desert risk factors, forecasts food desert rates, and proposes risk mitigation strategies based on statistical modeling and data analysis.

Description: This paper investigates the implications of using the Basel II motivated Advanced Measurement Approaches as a method to assess operational risk capital charges for banks and insurance companies with regard to U.S. regulations. The AMA developed in the paper uses actuarial loss models complemented by the extreme value theory to determine the empirical probability distribution function of the aggregated capital charges in the context of various classes of copulas. From Actuarial Research Clearing House, 2006.