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150128 ||| eng |
020 |
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|a 9781451847284
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100 |
1 |
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|a Berg, Andrew
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245 |
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|a Assessing Early Warning Systems
|b How Have they Worked in Practice?
|c Andrew Berg, Eduardo Borensztein, Catherine Pattillo
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260 |
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|a Washington, D.C.
|b International Monetary Fund
|c 2004
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300 |
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|a 45 pages
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651 |
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4 |
|a Korea, Republic of
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653 |
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|a Economic & financial crises & disasters
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653 |
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|a Exchange rate arrangements
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653 |
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|a Macroeconomic Aspects of International Trade and Finance: Forecasting and Simulation
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653 |
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|a Financial crises
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653 |
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|a Value of Firms
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653 |
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|a Exchange rate adjustments
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653 |
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|a Currency
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653 |
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|a Crisis management
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653 |
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|a Foreign Exchange
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653 |
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|a Currency crises
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653 |
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|a Capital and Ownership Structure
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653 |
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|a Goodwill
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653 |
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|a Macroeconomics
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653 |
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|a Early warning systems
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653 |
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|a Financial Risk and Risk Management
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653 |
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|a Financing Policy
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653 |
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|a Financial Risk Management
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653 |
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|a Foreign exchange
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653 |
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|a Financial Crises
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700 |
1 |
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|a Borensztein, Eduardo
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700 |
1 |
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|a Pattillo, Catherine
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041 |
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7 |
|a eng
|2 ISO 639-2
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989 |
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|b IMF
|a International Monetary Fund
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|a IMF Working Papers
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028 |
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|a 10.5089/9781451847284.001
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856 |
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|u https://elibrary.imf.org/view/journals/001/2004/052/001.2004.issue-052-en.xml?cid=17197-com-dsp-marc
|x Verlag
|3 Volltext
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|a 330
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520 |
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|a Since 1999, the IMF's staff has been tracking several early-warning-system (EWS) models of currency crisis. The results have been mixed. One of the long-horizon models has performed well relative to pure guesswork and to available non-model-based forecasts, such as agency ratings and private analysts' currency crisis risk scores. The data do not speak clearly on the other long-horizon EWS model. The two short-horizon private sector models generally performed poorly
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