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Are emerging market currency crises predictable? A test

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  • Peltonen, Tuomas A.
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    Abstract

    This paper analyzes the predictability of emerging market currency crises by comparing the often used probit model to a new method, namely a multi-layer perceptron artificial neural network (ANN) model. According to the results, both models were able to signal currency crises reasonably well in-sample, but the forecasting power of these models out-ofsample was found to be rather poor. Only in the case of Russian (1998) crisis were both models able to signal the crisis well in advance. The results reinforced the view that developing a stable model that can predict or even explain currency crises is a challenging task. JEL Classification: F31, E44, C25, C23, C45

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    Paper provided by European Central Bank in its series Working Paper Series with number 0571.

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    Date of creation: Jan 2006
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    Handle: RePEc:ecb:ecbwps:20060571

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    Keywords: artificial neural networks; currency crises; emerging markets;

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    Cited by:
    1. Jesús Crespo Cuaresma & Tomáš Slacík, 2007. "On the Determinants of Currency Crises: The Role of Model Uncertainty," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 54-68.
    2. Tobias Knedlik, 2006. "Signaling Currency Crises in South Africa," IWH Discussion Papers 19, Halle Institute for Economic Research.
    3. Dias, Daniel & Robalo Marques, Carlos & Santos Silva, João M. C., 2006. "Measuring the importance of the uniform nonsynchronization hypothesis," Working Paper Series 0606, European Central Bank.
    4. Neziri, Hekuran, 2008. "Can Credit Default Swaps Predict Financial Crises: An Empirical Test on Emerging Markets," MPRA Paper 13096, University Library of Munich, Germany.
    5. Tobias Knedlik & Rolf Scheufele, 2007. "Three methods of forecasting currency crises: Which made the run in signaling the South African currency crisis of June 2006?," IWH Discussion Papers 17, Halle Institute for Economic Research.
    6. Sarlin, Peter & Peltonen, Tuomas A., 2013. "Mapping the state of financial stability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 46-76.
    7. Matthew S. Yiu & Alex Ho & Lu Jin, 2009. "Econometric Approach to Early Warnings of Vulnerability in the Banking System and Currency Markets for Hong Kong and Other EMEAP Economies," Working Papers 0908, Hong Kong Monetary Authority.
    8. Vesna Bucevska, 2011. "An analysis of financial crisis by an early warning system model: The case of the EU candidate countries," Business and Economic Horizons (BEH), Prague Development Center, vol. 4(1), pages 13-26, January.
    9. Aleksandra A. Maslowska, 2011. "Quest for the Best: How to Measure Central Bank Independence and Show its Relationship with Inflation," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 5(2), pages 132-161, August.
    10. Jesús Crespo Cuaresma & Tomáš Slacík, 2008. "Determinants of Currency Crises: A Conflict of Generations?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 126-141.

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