Publications & Research

The newest addition to the Casualty Actuarial Society’s (CAS’s) monograph series is “Practical Mixed Models for Actuaries,” written by Ernesto Schirmacher, professor at Bentley University. CAS monographs are peer-reviewed, authoritative works that provide in-depth analysis on important topics within property and casualty actuarial practice.
The Casualty Actuarial Society (CAS) is proud to announce the winners of the Variance Prize for 2023 and 2024.
The Ratemaking Working Group selected to support four papers from a wide array of impressive proposals, and those works are now published and available to the property-casualty actuarial community.
The Casualty Actuarial Society (CAS) is offering up to $45,000 to fund research quantifying quantifies the impact of hurricane mitigation measures and associated premium credits.
The Casualty Actuarial Society (CAS) is offering up to $45,000 for a research paper that provides guidance on pricing flood exposure.
The CAS and the American Risk and Insurance Association (ARIA) have awarded Denisa Banulescu‐Radu and Meryem Yankol‐Schalck the ARIA Prize for their paper, “Practical guideline to efficiently detect insurance fraud in the era of machine learning: A household insurance case.”
In 2025, the CAS has been busy publishing important works that advance the field of actuarial science. But if you haven’t been keeping track, here is a quick roundup of things to check out.
A newly released CAS Research Paper tackles one of the most pressing challenges in the evolving cyber insurance landscape: how to reliably quantify cyber risk.
The Casualty Actuarial Society’s (CAS) Reinsurance Working Group is offering up to $45,000 to researchers either within or outside the property/casualty industry to develop a casualty catastrophe modeling solution for property/casualty reinsurance and/or excess insurance pricing.
The Casualty Actuarial Society's (CAS) Artificial Intelligence Working Group is offering up to $40,000 for research that documents best practices for leveraging Large Language Models (LLMs) in processing unstructured data for claims analysis.