In the last decade, both developed nations and emerging economies have been rocked by the effects of global financial crises precipitated by a baffling range of causes, from sub-prime mortgage rates to outbreaks of virulent disease. Financial and governmental bodies have acknowledged the pressing need for algorithmic models capable of predicting such crises in order to inform interventionary measures, yet to date, no single model has emerged that is robust and agile enough to sufficiently meet that task while maintaining a useful signal-to-noise ratio, making them little more reliable than a carnival fortune-teller.

The Handbook of Research on Financial and Banking Crisis Prediction through Early Warning Systems addresses the inequity of developed and developing nations from the bottom up through an exploration of current literature, specific case-studies, and data-based recommendations for new crisis indicators. Touching on such topics as the Greek debt crisis, electronic banking, and financial crises in developing economies, this publication targets an audience of academics, financial analysts, researchers, post-graduate students, and policymakers working in the fields of international finance and liability management.