Description: Exploring how artificial intelligence can enable insurance to expand into new places with new insights.

Description: A recap of the SOA Research Institute's participation in the Spring 2024 NAIC National Meeting.

Description: April 15, 2024, Chicago, IL - The Society of Actuaries (SOA) and the Casualty Actuarial Society (CAS) announce a new jointly-sponsored exam reimbursement program. The new Actuarial Exam Support Program, based on qualifications of need, is available to candidates as of May 1, 2024.

Description: View and fill out the July 2024 Probability (P) Exam Computer-Based Testing application form.

Description: View the Quarterly Global Warming Report Excel Document.

Description: Review the passing candidate list by number for SOA’s February 2024 administration of exam FM.

Description: There is increasing industry interest in applying behavioral science to optimize product design decisions and improve outcomes for both insurers and their customers. With a growing set of options within product designs, predicting consumer behavior continues to get increasingly complex. Join this webcast for an overview of key behavioral economic concepts. Key insights will be shared from two SOA projects that explore how behavioral economic techniques can be used in various parts of the life insurance new business process and inforce management.

Description: The chairperson for the marketing and distribution section discusses the section welcome call and outline future topics and themes for the year head.

Description: Actuaries are increasingly being asked to incorporate Economic Scenario Generators into their work. Whether it be a Risk Neutral model for pricing or a Real-World version for Economic Capital modelling, using these tools can help produce a much more robust analysis. Unfortunately, these models and their underpinnings are also very complicated, which can lead to confusion. Come watch the presenters try to demystify some of this. In particular, they will address the following questions: • What is the difference between Real-World and Risk Neutral scenarios? • When should I use one or the other? • How are these models calibrated? • What are some of the misconceptions about these models? At the conclusion of the session, attendees will be able to: • Explain the difference between Real-World and a Risk Neutral scenarios • Understand the appropriate usage of both • Identify some of the calibration questions that go into developing an appropriate set of scenarios • Avoid some of the common misconceptions about these scenarios