Description: As part of its work, the PBITT working group issued its annual survey to gather the range of assumptions actuaries use in pricing, reserving, and risk management of minimum guarantees on Variable Annuity products, such as death benefits, income benefits, withdrawal benefits and maturity benefits.

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

Description: The SOA and the CIA are pleased to make available a research report assessing the impact of Canadian Pension Plan (CPP) enhancements.

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

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

Description: This full report summarizes the findings of a study focused on the financial perspectives of aging and retirement of Americans across give generations.

Description: The Society of Actuaries’ Committee on Finance Research is pleased to make available a research report that develops a framework for applying deep learning and reinforcement learning techniques to optimal dynamic strategic asset allocation for Liability Driven Investment (LDI).

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: The aim of this research is to survey emerging data analytics techniques and discuss their evolution and growing use in the actuarial profession. Data analytics’ applications in life and non-life insurance will also be provided.

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.