Modeling and Measuring Systemic Risk

We propose a novel framework to model financial markets as complex systems and develop a control methodology for systemic risk as an alternative to the current regulatory and policy-making approaches.

Peter A. Beling
School of Engineering and Applied Science

Yael Grushka-Cockayne
Darden School of Business

Paul G. Mahoney
School of Law

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