Early Warning Systems for Currency Crises: A Regime-Switching Approach

Abdul Abiad

Chapter 10 in Hidden Markov Models in Finance, 2007, pp 155-184 from Springer

Abstract: Summary Previous early warning systems (EWS) for currency crises have relied on models that require a priori dating of crises. This paper proposes an alternative EWS, based on a Markov-switching model, which identifies and characterizes crisis periods endogenously; this also allows the model to utilize information contained in exchange rate dynamics. The model is estimated on data from 1972–1999 for the Asian crisis countries, taking a country-by-country approach. The model outperforms standard EWSs, both in signaling crises and reducing false alarms. Two lessons emerge. First, accounting for the dynamics of exchange rates is important. Second, different indicators matter for different countries, suggesting that the assumption of parameter constancy underlying panel estimates of EWSs may contribute to poor performance.

Keywords: Currency crisis; early warning system; regime switching; Markov switching (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-0-387-71163-8_10

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DOI: 10.1007/0-387-71163-5_10

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