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: 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.

Description: Prior to the global pandemic, investment in new health technologies had already reached an all-time high. As the world begins to emerge from COVID-19, what new technologies will next take root in the health care system and how will those affect medical costs? This session will review recent research from the SOA Health Section on how new technologies are spread and adopted. Particular focus will be given to emerging modes of consumer engagement and highly-focused gene and cell therapies that are breaking new ground in combating rare diseases. (We plan on focusing on 2 technologies like Consumerism or Telehealth & Gene & Cell Therapy depending on availability of speakers or if there are other sessions in this virtual meeting covering the same topic)

Description: Data science, predictive analytics and AI are certainly the buzzwords these days. They are heavily used and developed in underwriting and marketing but for most actuaries, they might/may as well be science fiction. The presenters will demonstrate how a normal actuary can utilize data science techniques in their daily job function without forming an official data science team within a company. It can be done in a gradual fashion so that normal business is not disrupted and improvements are made over time. The usage of data science techniques will include demonstrations of the following areas: - Regression analysis - Economic scenario generator - Experience study - Data quality checks - Inforce compression for explicit hedging

Description: Article from The Actuary regarding the medical malpractice crisis. could a macro system be the answer to a reduction in medical malpractice costs? Information in this article points in that direction.

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: To review 2021 and look forward to 2022 as the new Chair of the Actuary of the Future section council

Description: View information on The University of Tampa.

Description: 2021 Life Meeting - Session 3F: LDTI - Disclosure Production Deep Dive 8.30.21 Recording