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Financial policy and speculative runs with a crawling peg: Argentina 1979-1981

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  • Cumby, Robert E.
  • Van Wijnbergen, Sweder

Abstract

In this paper we present a model of a balance-of-payments crisis and use it to examine the Argentine experiment with a crawling peg between December 1978 and February 1981. The approach taken allows us to examine the evolution of a crisis when the collapse is not a perfectly-foreseen event. The implementation of the model yields plausible values of the one-month ahead probabilities of a collapse of the crawling peg. The probabilities exhibit a sharp increase in the middle of 1980 and indicate a significant loss of credibility throughout the remainder of the year. The results suggest that viability of an exchange rate regime depends strongly on the domestic credit policy followed by the authorities. If this policy is not consistent with the exchange rate policy pursued by the authorities, confidence in the exchange rate policy is undermined.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of International Economics.

Volume (Year): 27 (1989)
Issue (Month): 1-2 (August)
Pages: 111-127

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Handle: RePEc:eee:inecon:v:27:y:1989:i:1-2:p:111-127

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Web page: http://www.elsevier.com/locate/inca/505552

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References

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  1. Maurice Obstfeld, 1983. "Balance-of-Payments Crises and Devaluation," NBER Working Papers 1103, National Bureau of Economic Research, Inc.
  2. Maurice Obstfeld, 1984. "Rational and Self-Fulfilling Balance-of-Payments Crises," NBER Working Papers 1486, National Bureau of Economic Research, Inc.
  3. Buiter, Willem H., 1987. "Borrowing to defend the exchange rate and the timing and magnitude of speculative attacks," Journal of International Economics, Elsevier, vol. 23(3-4), pages 221-239, November.
  4. Stulz, Rene M., 1987. "Time-varying risk premia, imperfect information and the forward: Exchange rate," International Journal of Forecasting, Elsevier, vol. 3(1), pages 171-177.
  5. Lizondo, Jose Saul, 1983. "Foreign exchange futures prices under fixed exchange rates," Journal of International Economics, Elsevier, vol. 14(1-2), pages 69-84, February.
  6. Flood, Robert P. & Garber, Peter M., 1984. "Collapsing exchange-rate regimes : Some linear examples," Journal of International Economics, Elsevier, vol. 17(1-2), pages 1-13, August.
  7. Blanco, Herminio & Garber, Peter M, 1986. "Recurrent Devaluation and Speculative Attacks on the Mexican Peso," Journal of Political Economy, University of Chicago Press, vol. 94(1), pages 148-66, February.
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Citations

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Cited by:
  1. Ziesemer,Thomas, 2005. "Unstable Debt/GDP Dynamics as an Early Warning Indicator," Research Memorandum 016, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
  2. Stijn Claessens & M. Ayhan Kose, 2013. "Financial Crises: Explanations, Types and Implications," CAMA Working Papers 2013-06, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  3. Chin-Shien Lin & Haider A. Khan & Ying-Chieh Wang & Ruei-Yuan Chang, 2006. "A New Approach to Modeling Early Warning Systems for Currency Crises : can a machine-learning fuzzy expert system predict the currency crises effectively?," CIRJE F-Series CIRJE-F-411, CIRJE, Faculty of Economics, University of Tokyo.
  4. Safdar Ullah Khan & Omar Farooq Saqib, 2007. "An Analysis of Pakistan s Vulnerability to Economic Crisis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 46(4), pages 597-610.
  5. Ramon Moreno, 1995. "Macroeconomic behavior during periods of speculative pressure or realignment: evidence from Pacific Basin economies," Pacific Basin Working Paper Series 95-05, Federal Reserve Bank of San Francisco.
  6. Dilip K. Das, 2001. "Stimulants to capital inflows into emerging markets and the recent role of speculators," Journal of International Development, John Wiley & Sons, Ltd., vol. 13(1), pages 25-44.
  7. Marcin Sasin, 2002. "Predicting Currency Crises, the Ultimate Significance of Macroeconomic Fundamentals in Linear Specifications with Nonlinear Extensions," CASE Network Studies and Analyses 0224, CASE-Center for Social and Economic Research.
  8. Tassos G. Anastasatos & Ian R. Davidson, 2006. "How Homogenous are Currency Crises? A Panel Study Using Multiple-Response Models," Working Papers 52, Bank of Greece.
  9. van Wijnbergen, Sweder & Rocha, Robert & Anand, Ritu, 1989. "Inflation, external debt, and financial sector reform : a quantitative approach to consistent fiscal policy," Policy Research Working Paper Series 261, The World Bank.
  10. Mohammad Karimi & Marcel-Cristian Voia, 2011. "Empirics of Currency Crises: A Duration Analysis Approach," Carleton Economic Papers 11-11, Carleton University, Department of Economics.
  11. Christian C. Starck, 1989. "How are the key Finnish market interest rates determined?," Finnish Economic Papers, Finnish Economic Association, vol. 2(1), pages 39-47, Spring.
  12. Lean Yu & Kin Keung Lai & Shou-Yang Wang, 2006. "Currency Crisis Forecasting With General Regression Neural Networks," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 437-454.
  13. William R. Melick, 1996. "Estimation of speculative attack models: Mexico yet again," BIS Working Papers 36, Bank for International Settlements.
  14. repec:dgr:uvatin:2011064 is not listed on IDEAS
  15. Robert P. Flood & Juan Yepez & Nancy P. Marion, 2010. "A Perspectiveon Predicting Currency Crises," IMF Working Papers 10/227, International Monetary Fund.

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