News

The CAS Research Council is pleased to announce that the following data sets are now available to authors interested in working on CAS research projects.

The Casualty Actuarial Society’s Artificial Intelligence Working Group is seeking research proposals that examine how Large Language Models (LLMs) can be deliberately adapted to support core actuarial reasoning in property-casualty insurance.

The Casualty Actuarial Society (CAS) invites researchers from inside and outside the insurance industry, with expertise in customer segmentation, to prepare a proposal for a property-casualty insurance research project that explores utilizing customer lifetime value in insurance pricing.

The CAS is pleased to announce that a limited number of [SL1.1][AC1.2]practice items are now available for CAS Exam 6C: Regulation and Financial Reporting (Canada).

The CAS Admissions team is seeking volunteers to support the Property and Casualty Predictive Analytics (PCPA) requirement for ACAS.

In the rapidly evolving landscape of insurance pricing, the role of the traditional pricing actuary is modernizing to meet increasingly diverse needs and complex business problems that extend far beyond conventional loss cost and expense analyses.

The Casualty Actuarial Society (CAS), through its Climate and Sustainability Working Group, is soliciting research proposals and awarding up to two projects.

The CAS is pleased to announce the release of updated content outlines for the October 2026 administration of Exams 5–9.

In response to its 2025 request for proposals on forecasting future loss payments from policies sold in the past, the Casualty Actuarial Society (CAS) has selected the research project "Future Loss under Inflationary Dynamics" for development.