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Quantitative analysis of crisis: crisis identification and causality

Author

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  • Ishihara, Yoichiro
Abstract
Studies use different conceptual and operational definitions of crises. The different crisis identifications can lead to inconsistent conclusions and policy formulation even if the same analytical framework is applied. Also, most studies focus on only a few types of crises. This narrow focus on crises may not capture the multidimensionality of crises. Seven crisis types are analyzed, namely (1) liquidity type banking crises, (2) solvency type banking crises, (3) balance of payments crises, (4) currency crises, (5) debt crises, (6) growth rate crises, and (7) financial crises. Crisis data were collected from 15 emerging economies in 1980-2002 on a quarterly basis. The crisis identification exercise finds that multidimensionality in which different crisis types occur in short periods is one of the most important characteristics of recent crises. Further, the Granger causality tests in five Asian economies (Indonesia, the Republic of Korea, Malaysia, the Philippines, and Thailand) find that currency crises tend to trigger other types of crises, and therefore exchange rate management is essential.

Suggested Citation

  • Ishihara, Yoichiro, 2005. "Quantitative analysis of crisis: crisis identification and causality," Policy Research Working Paper Series 3598, The World Bank.
    • Handle: RePEc:wbk:wbrwps:3598
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    References listed on IDEAS

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    Cited by:

    1. Mikhail V. Oet & John M. Dooley & Stephen J. Ong, 2015. "The Financial Stress Index: Identification of Systemic Risk Conditions," Risks, MDPI, vol. 3(3), pages 1-25, September.
    2. Thanh C. Nguyen & Vítor Castro & Justine Wood, 2022. "Political environment and financial crises," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 417-438, January.
    3. Timothy Bianco & Dieter Gramlich & Mikhail V. Oet & Stephen J. Ong, 2012. "Financial stress index: a lens for supervising the financial system," Working Papers (Old Series) 12-37, Federal Reserve Bank of Cleveland.
    4. Diana Zigraiova & Petr Jakubik, 2014. "Systemic Event Prediction by Early Warning System," Working Papers IES 2014/01, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2014.
    5. Filippopoulou, Chryssanthi & Galariotis, Emilios & Spyrou, Spyros, 2020. "An early warning system for predicting systemic banking crises in the Eurozone: A logit regression approach," Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 344-363.

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    Keywords

    Governance Indicators; Economic Theory&Research; Macroeconomic Management; Banks&Banking Reform; Financial Crisis Management&Restructuring;
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