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The impact of financial frictions on a small open economy: when current account borrowing hits a limit Author info | Abstract | Publisher info | Download info | Related research | Statistics Diego Valderrama
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The evidence of the last 20 years of recurring output busts and rapid reversals of the current account in emerging markets indicates that domestic agents may not be able to borrow in international capital markets to fully insure themselves against internal and external shocks. This paper models this phenomenon as a form of excess volatility by introducing a financial friction into a stochastic model of a small open economy. The financial friction limits the current account deficit to a fixed fraction of gross domestic product. The paper shows that conditional volatility and asymmetry are significant statistical characteristics of the GDP and current account that reflect the excess volatility and the current account reversals. The economic model can explain the conditional volatility and asymmetry of Mexican GDP and the current account.
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Paper provided by Federal Reserve Bank of San Francisco in its series Working Papers in Applied Economic Theory with number
2002-15.
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Date of creation: 2002Date of revision:
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Keywords: Developing countries ; Econometric models ; Capital ; Other versions of this item:
This paper has been announced in the following NEP Reports :
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repec:cup:etheor:v:12:y:1996:i:4:p:657-81 is not listed on IDEAS
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Full
references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Ceyhun Bora Durdu & Enrique G. Mendoza, 2005.
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Ceyhun Bora Durdu & Enrique G. Mendoza, 2006.
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Working Papers in Applied Economic Theory
2002-23, Federal Reserve Bank of San Francisco.
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Diego Valderrama, 2003.
"Statistical Nonlinearities in the Business Cycle ,"
Computing in Economics and Finance 2003
219, Society for Computational Economics.
[Downloadable!]
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