Research

Our members are pioneering research that helps address global insurance and risk management problems.
Committees and Working Parties
Committees and working parties are important to the future of CAS. Run by volunteers, they help further the development and dissemination of information in their area of expertise; monitor similar organizations, professional developments and regulatory activities; and sponsor panels, seminars or other professional education opportunities.

Opportunities & Open Calls

Calls for Papers
The CAS Publications Council invites professionals, researchers, and enthusiasts in the field of actuarial science to contribute essays on the profound impact of Artificial Intelligence (AI) on the actuarial profession, insurance industry, and the broader ecosystem.
  Deadline extended to January 5, 2024 and prize fund increased to $15,000! The Casualty Actuarial Society (CAS…
The Casualty Actuarial Society, in conjunction with the CAS Monograph Committee, is pleased to extend a Call for Monographs on the topic of “Big Data, Machine Learning and Beyond.” The call aims to develop a comprehensive source of literature with emphasis on the educational and professional needs of actuaries to foster deeper understanding of Machine Learning algorithms and their potential application in practice.
Individual Grants Competition
The Society of Actuaries’ Committee on Knowledge Extension Research and the Casualty Actuarial Society announce the 2024 Individual Grant Competition to support the advancement of knowledge in actuarial science.
Requests for Proposals
The CAS Ratemaking Working Group is issuing a Request for Proposals (RFP) seeking research related to the development of scaling laws in pure premium models for use in the ratemaking process.
The CAS Ratemaking Working Group is issuing a Request for Proposals (RFP) seeking research related to methods and techniques that incorporate exposures related to severe convective storm in the ratemaking process.
The Casualty Actuarial Society, in conjunction with the CAS Monograph Committee, is pleased to extend a Call for Monographs on the topic of “Big Data, Machine Learning and Beyond.” The call aims to develop a comprehensive source of literature with emphasis on the educational and professional needs of actuaries to foster deeper understanding of Machine Learning algorithms and their potential application in practice.
Climate Change Resources
This repository of recent climate change-related research and professional education features papers, presentations, and recordings from CAS publications and meetings, as well as interviews and press related to the topic.
Actuaries Climate Index
The Actuaries Climate Index® (ACI) is an educational tool designed to help inform actuaries, public policymakers, and the general public about climate trends and some of the potential impacts of a changing climate on the United States and Canada.
Research Awards
Research Awards encompass a variety of casualty-property topics and are meant to highlight the best papers and other research produced by both CAS members, and actuarial journals.
Research Resources
Peruse useful databases, research topics by subject, and recommended readings.
Suggest a Research Idea
The CAS research committees are interested in your input to potential funded research projects.
Past Research Projects
This page includes past calls for papers, funded research projects, and working party/task force reports.

Loss Simulation Model and Documentation

The Loss Simulation Model (the "model") has been developed by the CAS using committee volunteers, non-committee reviewers and consultants engaged by the CAS (collectively the “Developers”) for the sole purpose of assisting CAS members and subscribers (the "Users") with an educational and research tool.

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The model should ONLY be used for this purpose. Please refer to the Loss Simulation Model Working Party paper for a fuller discussion of the model’s features and additional testing and development work that is needed. The CAS and the Developers disclaim any responsibility regarding use of the results of this model and any decisions made based upon those results.

In the event that any defect in this model is discovered, the CAS may, at the CAS’s sole and exclusive option, remedy, repair or replace the defective model to the extent reasonably possible. The CAS is providing the model for your educational and research use only. The model is not intended to be an industry standard or to represent a CAS endorsement. It is merely one approach that CAS members and others in the industry might want to consider when estimating unpaid claim distributions. The different facts and circumstances of any particular company situation require specific analysis, review, and advice from competent and experienced actuarial professionals.

THE MODEL IS PROVIDED “AS IS” AND FREE OF CHARGE AND YOU ACCEPT THE ENTIRE RISK AS TO THE QUALITY, PERFORMANCE AND RESULTS OF USE OF THE MODEL. THE CAS AND THE DEVELOPERS AND THEIR RESPECTIVE EMPLOYEES, OFFICERS AND DIRECTORS, MAKE NO WARRANTIES OR REPRESENTATIONS, EXPRESSED OR IMPLIED, ORAL OR IN WRITING, WITH RESPECT TO THE MODEL, INCLUDING ITS FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, QUALITY OR ITS NON-INFRINGEMENT. THE CAS AND THE DEVELOPERS AND THEIR RESPECTIVE EMPLOYEES, OFFICERS AND DIRECTORS, WILL NOT BE LIABLE FOR ANY DAMAGES, INCLUDING INDIRECT, SPECIAL, INCIDENTAL, CONSEQUENTIAL OR PUNITIVE DAMAGES (INCLUDING LOST PROFITS AND LOST DATA) ARISING OUT OF THE USE OF, OR THE INABILITY TO USE THE MODEL. THE CAS AND THE DEVELOPERS SHALL HAVE NO LIABILITY, AND EACH USER AGREES TO HOLD THE CAS AND THE DEVELOPERS HARMLESS FROM ANY LIABILITY, RESULTING FROM THE MODIFICATION OR REVISION OF THE MODEL BY OR ON BEHALF OF SAID USERS, INCLUDING MODIFICATIONS MADE BY THE CAS OR THE DEVELOPERS.

The program code, user interface, data storage, calculations, results, exhibits and graphs generated by the model are only for educational and research purposes. The model may be freely distributed to any other user without the express written permission of the CAS. In the event such distribution is made, the entire model must be provided, including the license agreement in electronic form. This license agreement and any proprietary notices or legends included in the model MUST NOT be removed or modified in any way for any reason or purpose.

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Downloadable Programs, Spreadsheets and Workbooks

Disclaimer

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Nothing submitted is of a proprietary nature, or violates antitrust regulations. Contributions are submitted in a format that can be accessed through the CAS Web Site.

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