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We propose a novel approach that combines random forests and the wavelet transform to model the prediction of currency crises. Our classification model of random forests, built using both standard predictors and wavelet predictors, and obtained from the wavelet transform, achieves a demonstrably...
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We use consumer price data for 205 cities/regions in 21 countries to study PPP deviations before, during and after the major currency crises of the 1990s. We combine data from industrialized nations in North America (Unites States, Canada and Mexico), Europe (Germany, Italy, Spain and Portugal),...
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The right response to a speculative attack on the domestic currency by monetary authorities in a country with liabilities in US dollars has been a matter of hot debate among academics and policy makers especially after the East Asian Crisis. Using a modified version of the currency crisis model...
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