Predicting Currency Crises—A Practical Application for Risk Managers

By Christopher Mills and Eleonora Omarova

Christopher Mills is a global risk analyst with Citigroup. He has an MS in Economics from the London School of Economics, the CFA designation, and was awarded the title of Financial Risk Manager by the Global Association of Risk Professionals. He has worked with the British Treasury, Standard & Poor’s, and AT&T.

 

Nora Omarova is a vice president and global risk analyst at Citigroup. Previously, she worked for Travelers Investment Group. She holds a MIA degree from Columbia School of International and Public Affairs and is finishing her doctoral research towards a Ph.D. degree in finance at Columbia University Graduate School of Business.

Since the Mexican and Asian currency crises, a body of research has been developed in an effort to build early warning systems to predict such crises. This paper presents a practical application of a currency risk model based on an extension of the signal extraction methodology pioneered by Kaminsky and Reinhart (KR). We describe the rationale for attempting to predict currency crises, outline the methodology behind our model, and discuss how the model can be used in practical applications, with a particular focus on balancing the risk of failing to signal a crisis against the risk of crying wolf when crises do not materialize.

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