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Early Warning Systems with Real-Time Data

Tjeerd Boonman (), Jan Jacobs (), Gerard Kuper () and Romero Alberto

No 2017-16, Working Papers from Banco de México

Abstract: This paper investigates the performance of early warning systems in real-time, using forecasts of indicators that were available at the moment predictions are to be made. The study analyzes currency crises in eight Latin American and Central and Eastern European countries, distinguishing an estimation period 1990-2009 and a prediction period 2010-2014. We apply two varieties of early warning systems: the signal approach and the logit models. For both methods we find that using forecasts of the indicators worsens the predictive ability of early warning systems compared to using the most recently available information (ex post).

Keywords: Real-time data; Early warning system; Signal approach; Logit model; Emerging economies (search for similar items in EconPapers)
JEL-codes: E47 G01 F31 C23 E58 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-mac
Date: 2017-09
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