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Early warning systems for currency crises: Amultivariate extreme value approach

  • Chulalongkorn University
  • Erasmus University Rotterdam - Erasmus School of Economics

Research output: Contribution to journal › Article › peer-review

30 Citations (Scopus)

Abstract

We apply extreme value theory to assess the tail dependence between three currency crisis measures and 18 economic indicators commonly used for predicting crises. In our pooled sample of 46 countries in the period 1974-2008, we find that nearly all pairs of variables are asymptotically independent: in the limit, extreme values of economic indicators are not followed by severe currency crashes. Our findings may explain the poor performance of existing early warning systems for currency crises. However, we do find that economic variables with stronger extremal association with the exchange rate have better crisis prediction performance, both in-sample and out-of-sample.

Original languageEnglish
Pages (from-to)151-171
Number of pages21
JournalJournal of International Money and Finance
Volume36
DOIs
Publication statusPublished - Sept 2013

Keywords

  • Crisis prediction
  • Currency crises
  • Emerging markets
  • Extreme value theory

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