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Are emerging market currency crises predictable? A test Author info | Abstract | Publisher info | Download info | Related research | Statistics Tuomas A. Peltonen () (European Central Bank, Postfach 16 03 19, 60066 Frankfurt am Main, Germany )
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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
571.
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Length: 49 pages
Date of creation: Jan 2006Date of revision:
Handle: RePEc:ecb:ecbwps:20060571Contact details of provider: Postal: Postfach 16 03 19, Frankfurt am Main, Germany Phone: +49 69 1344 0 Fax: +49 69 1344 6000 Web page: http://www.ecb.europa.eu/home/html/index.en.html More information through EDIRC
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Keywords: Currency crises ; emerging markets ; artificial neural networks. ; Other versions of this item:
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