Description: This study explores whether public pension plans have contributed enough to reduce unfunded liabilities, absent other influences such as investment returns.

Description: This report concerns optimal new business written premium mix at the firm and state levels under varying competitive conditions.

Description: A research report describing aspects of provider network performance in health care settings with particular focus on experiences with Exchanges.

Description: This report examines historical U.S. motor vehicle accident mortality experience by age, gender, region, and other factors.

Description: This report illustrates employer group commercial health care costs and trends from 2013 – 2017.

Description: In this report, we will try to provide an in-depth review of current Machine Learning and Deep Learning models and will explain how those models works and their possible applications in the actuarial field. The recent studies and successes from the industry will also be discussed. We intend to bring more actuaries onboard about those technologies and start to think about how to bring them into our daily work.

Description: The popular press plays an important role in public perception regarding automated vehicles. In contrast to the excitement generated two to three years ago, we are now in a period of “reverse hype” with most articles focused on the slow pace of development and concerns regarding possible negative impacts on traffic congestion and growth of suburbs. To help describe current trends and highlight differences between the cars we see on the street today and driverless vehicles, this report relies on three market-related definitions; safe, self-driving and driverless.

Description: Report summarizing the results of the 2019 PBITT UL with Secondary Guarantees Survey.

Description: The primary focus of this study was a comprehensive review of recent mortality experience of public retirement plans in the United States.

Description: Based on work performed by Bob Howard, a former member of RPEC, the SOA developed a spreadsheet-based program that allows users to create a customized mortality improvement scale using the RPEC_2014 model. The RPEC_O2_v2018 model found here utilizes the same projection methodology underpinning the RPEC_2014 model except that the historical rates have been developed using “order-2” Whittaker-Henderson graduation rather than “order-3”.