Catastrophe Risk Management
AIR Worldwide — a member of the Verisk Insurance Solutions group at Verisk Analytics — is the scientific leader in catastrophe modeling.
AIR pioneered the catastrophe modeling industry, creating the tools and technologies that changed how people think about catastrophic risk. AIR bases its models on sophisticated simulation methods and powerful computer programs that capture how catastrophes — both natural and man-made — behave and affect the built environment.
Insurers, reinsurers, and brokers use AIR modeling extensively for:
- risk selection and underwriting
- loss mitigation
- reinsurance decision making
- portfolio management
And a wide variety of customers outside the insurance industry also look to AIR for help. Applications of the technology have broadened to serve the needs of:
- corporate risk managers
- government agencies
- hedge funds and other financial institutions
- many others exposed to catastrophe risk
In fact, today, more than 400 organizations rely on the results of AIR’s catastrophe models, software applications, and consulting services to inform a broad range of business decisions.
It’s no longer sufficient to run the models and produce a single number. In the face of increasing competition and new regulatory regimes, risk-bearing companies and organizations must interpret model results, understand and test the underlying assumptions, and quantify their inherent uncertainties. AIR is responding to those needs through greatly improved software, model transparency, education, and new tools for data mining and analytics.
AIR remains dedicated to helping its clients mitigate the effects of catastrophes and develop risk management strategies that promote financial stability, maximize growth, and improve overall results.
For more information . . .
. . . about AIR’s offerings, follow these links to the AIR Worldwide website:
- products and services across the risk management chain
- catastrophe models
- risk management software
- consulting services
- training and support