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Contagion: How to Measure It?

In: Preventing Currency Crises in Emerging Markets

Author Info

Listed author(s):
  • Roberto Rigobon

Abstract

The empirical literature on contagion has mainly measured the propagation of shocks across countries using daily stock markets, interest rates, and exchange rates. Several methodologies have been used for this purpose, however, the properties of the data introduces important limitations on the implementation of these procedures, as well as on the interpretation of the results. This paper, has three objectives: First, it evaluates some of the techniques that have been used frequently to measure contagion. The paper argues that if the data suffers from heteroskedasticity (conditional or not), omitted variables and simultaneous equation problems, the conclusions drawn from most of the procedures could be biased. Second, the paper summarizes two new procedures that have been developed to cope with these problems. One methodology is aimed to test for the stability of parameters, while the other one estimates consistently the contemporaneous relationship across countries. Finally, the paper estimates (consistently) the contemporaneous transmission mechanism between emerging stock markets, and bond markets. Furthermore, it is found that regional variables, as well as trade linkages, constitute a sizeable explanation of the strength of the propagation of shocks across bond markets, but not as important in stock markets.

(This abstract was borrowed from another version of this item.)

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This chapter was published in:
  • Sebastian Edwards & Jeffrey A. Frankel, 2002. "Preventing Currency Crises in Emerging Markets," NBER Books, National Bureau of Economic Research, Inc, number edwa02-2, October.
    • This item is provided by National Bureau of Economic Research, Inc in its series NBER Chapters with number 10638.
    Handle: RePEc:nbr:nberch:10638
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    Find related papers by JEL classification:
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements

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    1. Eichengreen, Barry & Rose, Andrew K & Wyplosz, Charles, 1996. "Contagious Currency Crises," CEPR Discussion Papers 1453, C.E.P.R. Discussion Papers.
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    7. Graciela L. Kaminsky & Carmen Reinhart, 2003. "The Center and the Periphery: The Globalization of Financial Turmoil," NBER Working Papers 9479, National Bureau of Economic Research, Inc.
    8. Kee-Hong Bae & G. Andrew Karolyi & René M. Stulz, 2003. "A New Approach to Measuring Financial Contagion," Review of Financial Studies, Society for Financial Studies, vol. 16(3), pages 717-763, July.
    9. Reinhart, Carmen & Goldstein, Morris & Kaminsky, Graciela, 2000. "Assessing financial vulnerability, an early warning system for emerging markets: Introduction," MPRA Paper 13629, University Library of Munich, Germany.
    10. Glick, Reuven & Rose, Andrew K., 1999. "Contagion and trade: Why are currency crises regional?," Journal of International Money and Finance, Elsevier, vol. 18(4), pages 603-617, August.
    11. Carmen M. Reinhart & Sara Calvo, 1996. "Capital Flows to Latin America: Is There Evidence of Contagion Effects?," Peterson Institute Press: Chapters,in: Guillermo A. Calvo & Morris Goldstein & Eduard Hochreiter (ed.), Private Capital Flows to Emerging Markets After the Mexican Crisis, pages 151-171 Peterson Institute for International Economics.
    12. Calvo, Guillermo A. & Mendoza, Enrique G., 2000. "Rational contagion and the globalization of securities markets," Journal of International Economics, Elsevier, vol. 51(1), pages 79-113, June.
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    18. R. Gaston Gelos & Ratna Sahay, 2001. "Financial market spillovers in transition economies," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 9(1), pages 53-86, March.
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    21. Roberto Rigobon, 2003. "Identification Through Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 777-792, November.
    22. Horowitz, Joel L, 1992. "A Smoothed Maximum Score Estimator for the Binary Response Model," Econometrica, Econometric Society, vol. 60(3), pages 505-531, May.
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