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   <subfield code="z">9781451842425</subfield>
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   <subfield code="a">1018-5941</subfield>
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   <subfield code="a">Perraudin, W.</subfield>
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  <datafield tag="245" ind1="1" ind2="0">
   <subfield code="a">Predicting Emerging Market Currency Crashes /</subfield>
   <subfield code="c">W. Perraudin, Manmohan Kumar, Uma Moorthy.</subfield>
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  <datafield tag="264" ind1=" " ind2="1">
   <subfield code="a">Washington, D.C. :</subfield>
   <subfield code="b">International Monetary Fund,</subfield>
   <subfield code="c">2002.</subfield>
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   <subfield code="a">1 online resource (38 pages)</subfield>
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   <subfield code="a">IMF Working Papers</subfield>
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   <subfield code="a">&lt;strong&gt;Off-Campus Access:&lt;/strong&gt; No User ID or Password Required</subfield>
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   <subfield code="a">&lt;strong&gt;On-Campus Access:&lt;/strong&gt; No User ID or Password Required</subfield>
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   <subfield code="a">Electronic access restricted to authorized BRAC University faculty, staff and students</subfield>
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   <subfield code="a">This paper assesses the extent to which crashes in emerging market currencies are predictable using simple logit models based on lagged macroeconomic and financial data. To evaluate our model, we calculate trading strategies in which an investor goes long or short in the currency depending on whether crash probabilities are low or high. When we estimate the model on part of the data and then use the parameter estimates to generate predictions for the remainder of the sample, we find that substantial profits may be made. Furthermore, the model correctly forecasts major crashes even on an out-of-sample basis.</subfield>
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   <subfield code="a">Kumar, Manmohan.</subfield>
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   <subfield code="a">Moorthy, Uma.</subfield>
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   <subfield code="a">IMF Working Papers; Working Paper ;</subfield>
   <subfield code="v">No. 2002/007</subfield>
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