Early Warning Systems for Currency Crises with Real-Time Data
Jan Jacobs (),
Gerard Kuper () and
Alberto Romero ()
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Alberto Romero: Banco de México
Open Economies Review, 2019, vol. 30, issue 4, 813-835
Abstract This paper investigates the performance of early warning systems for currency crises in real-time, using forecasts of indicators that are available at the moment predictions are to be made. We investigate two types of commonly used early warning systems for currency crises: the signal approach and the logit model. We apply each EWS to a panel of fifteen emerging economies, distinguishing an estimation period 1991Q1–2010Q4 and a prediction period 2011Q1–2017Q4. We find that using indicator forecasts in the predictions worsens the ability of early warning systems to signal crises compared to the most recently available information.
Keywords: Real time data; Early warning system; Currency crises; Signal approach; Logit model; Emerging economies (search for similar items in EconPapers)
JEL-codes: F31 E47 G01 C23 E58 (search for similar items in EconPapers)
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