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Interest Rates, Contagion and Capital Controls

  • Sebastian Edwards

In this paper I analyze several issues related to contagion,' including its definition, recent experiences, alternative channels at work, and possible prevention mechanisms. The discussion deals with the macroeconomics implications of contagion, and concentrates on the relationship between the degree of openness of the capital account and the transmission of foreign shocks. More specifically, I ask whether restrictions to capital mobility and, in particular, controls on capital inflows of the type Chile implemented throughout most of the 1990s reduce a country's vulnerability to contagion. I also deal, albeit briefly, with the connection between the exchange rate regime and the propagation of international shocks. The evidence presented in this paper shows that the effectiveness of Chile's controls on inflows has often been overstated. Indeed, Chile was severely affected by the East Asian, Russian and Brazilian crises.

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File URL: http://www.nber.org/papers/w7801.pdf
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 7801.

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Date of creation: Jul 2000
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Handle: RePEc:nbr:nberwo:7801
Note: IFM
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  1. Ball, Clifford A. & Torous, Walter N., 1995. "Regime Shifts in Short Term Riskless Interest Rates," University of California at Los Angeles, Anderson Graduate School of Management qt5hs021jf, Anderson Graduate School of Management, UCLA.
  2. Marcelo Soto & Salvador Valdés, 1996. "¿Es el Control Selectivo de Capitales Efectivo en Chile? Su Efecto sobre el Tipo de Cambio Real," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 33(98), pages 77-108.
  3. Hamilton, James D., 1996. "Specification testing in Markov-switching time-series models," Journal of Econometrics, Elsevier, vol. 70(1), pages 127-157, January.
  4. Edwards, Sebastian & Edwards, Alejandra Cox, 1991. "Monetarism and Liberalization," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226184890.
  5. Hamilton, James D. & Susmel, Raul, 1994. "Autoregressive conditional heteroskedasticity and changes in regime," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 307-333.
  6. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
  7. Hansen, B.E., 1991. "The Likelihood Test Under Non-Standard Conditions: Testing the Markov Trend Model of GNP," RCER Working Papers 279, University of Rochester - Center for Economic Research (RCER).
  8. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
  9. Hamao, Yasushi & Masulis, Ronald W & Ng, Victor, 1990. "Correlations in Price Changes and Volatility across International Stock Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 281-307.
  10. Morris Goldstein & Carmen M. Reinhart, 2000. "Assessing Financial Vulnerability: An Early Warning System for Emerging Markets," Peterson Institute Press: All Books, Peterson Institute for International Economics, number 100, December.
  11. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Persistence in Variance, Structural Change, and the GARCH Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 225-34, April.
  12. Robert F. Engle & Victor K. Ng, 1991. "Measuring and Testing the Impact of News on Volatility," NBER Working Papers 3681, National Bureau of Economic Research, Inc.
  13. Bruce E. Hansen, 1995. "Erratum: The Likelihood ratio Test Under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Boston College Working Papers in Economics 296., Boston College Department of Economics.
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