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: 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: Interview with new incoming Chair of the Reinsurance Section

Description: The Society of Actuaries is honored to announce the recipients of the Outstanding Session Awards for the 2021 Life Meeting that took place virtually Aug. 30 – Sept. 1.

Description: This report examines the use of a copula approach to build a predictive model to estimate the amount of economic capital a life insurance company needs to protect itself against an adverse movement in interest rates, mortality, and other risk drivers.

Description: Chairperson of the LTC Section reflects on his three-year term on the LTC Section Council.

Description: The Society of Actuaries (SOA) published its first COVID-19 research brief on March 10, 2020, followed by regular updates and expansions through June 12, 2020. The comprehensive report included a section of Key Statistics. This report provides updates to some of the data from the Key Statistics section of the brief and additional related data, organized by geography.

Description: View information on The University of Tampa.

Description: The SOA, with SCOR as the researcher, completed an experience study of post-level term (PLT) lapse and mortality. In the first part of this session, the presenters will cover the key findings of the traditional analysis regarding the shock lapse, the PLT lapse and mortality experience. The remainder of the session will focus on the results of the predictive modeling, which will provide further insights into policyholder behavior in the post-level term period.