Description: This is a study to perform a mortality analysis of the 1898-1902 birth cohort.

Description: The Society of Actuaries released research in 2007, performed by Jim Toole, that develops a model for a U.S. individual life insurance company to consider its potential liability exposure as a result of a pandemic. Sponsored by the Mortality and Longevity Strategic Research Program Steering Committee, this paper updates several model assumptions including mortality in light of COVID-19.

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

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: The Society of Actuaries Smaller Insurance Company Section, the Financial Reporting Section, and the Committee on Life Insurance Research are pleased to make available new research investigating simplified methods for determining reserves under VM-20.

Description: The Society of Actuaries Predictive Analytics and Futurism Section, the Financial Reporting Section, the Investment Section and the Canadian Institute of Actuaries are pleased to release a new and improved version of the 2005 Society of Actuaries (SOA) Delphi study of four economic variables. Performed by Theodore J. Gordon, the research acquaints actuaries with the application of futures methods that could supplement traditional actuarial forecasting practices.

Description: This essay collection examines how changing family dynamics shape retirement security, offering insights on demographic trends, policy design, and actuarial strategy—because retirement is the ultimate family affair.

Description: This report discusses management decision making practices and the need for actuaries to build the appropriate level of variability for management actions in stochastic models to achieve a more realistic range of future experience among the stochastic scenarios.

Description: The Casualty Actuarial Society, Canadian Institute of Actuaries, and the Society of Actuaries' Joint Risk Management Section and the Joint Risk Management Research Committee are pleased to make available a new report on the application of ERM. Authored by Bonnie-Jeanne MacDonald, Sim Segal, Michael Wolfson and Heidi Walsh, the report provides a novel demonstration on how ERM can be applied to serve the Canadian public by informing decision makers on the risks facing the current and future delivery of long-term care.

Description: Tree models have been found to provide a good fit to group long term disability recovery and mortality rates. This research paper provides an overview of tree models, and details how they have been used for developing these rates.