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Network analysis of exchange data: Interdependence drives crisis contagion

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  • Matesanz, David
  • Ortega, Guillermo J.

Abstract

In this paper we detect the linear and nonlinear co-movements presented on the real exchange rate in a group of 28 developed and developing countries that have suffered currency and financial crises during 15 years. We have used the matrix of Pearson correlation and Phase Synchronous (PS) coefficients and an appropriate metric distance between pairs of countries in order to construct a topology and hierarchies by using the Minimum Spanning Tree (MST). In addition, we have calculated the MST cost and global correlation coefficients to observe the co-movements dynamics along the time sample. By comparing Pearson and phase synchronous information we address a new methodology that can uncover meaningful information on the contagion economic issue and, more generally, in the debate around interdependence and/or contagion among financial time series. Our results suggest some evidence of contagion in the Asian currency crises but this crisis contagion is due to previous and stable interdependence.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 7720.

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Date of creation: 12 Mar 2008
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Handle: RePEc:pra:mprapa:7720

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Keywords: econophysics; linear co-movements; phase synchronous co-movements; MST; interdependence and contagion;

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  1. J. Pérez, 2005. "Empirical identification of currency crises: differences and similarities between indicators," Applied Financial Economics Letters, Taylor and Francis Journals, vol. 1(1), pages 41-46, January.
  2. Candelon, Bertrand & Hecq, Alain & Verschoor, Willem F.C., 2005. "Measuring common cyclical features during financial turmoil: Evidence of interdependence not contagion," Journal of International Money and Finance, Elsevier, vol. 24(8), pages 1317-1334, December.
  3. Corsetti, Giancarlo & Pericoli, Marcello & Sbracia, Massimo, 2005. "'Some contagion, some interdependence': More pitfalls in tests of financial contagion," Journal of International Money and Finance, Elsevier, vol. 24(8), pages 1177-1199, December.
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  8. Roberto Rigobon, 2002. "Contagion: How to Measure It?," NBER Chapters, in: Preventing Currency Crises in Emerging Markets, pages 269-334 National Bureau of Economic Research, Inc.
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  13. Mardi Dungey & Renee Fry & Vance Martin & Brenda González-Hermosillo, 2004. "Empirical Modeling of Contagion," IMF Working Papers 04/78, International Monetary Fund.
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  15. Kristin Forbes & Roberto Rigobon, 1999. "No Contagion, Only Interdependence: Measuring Stock Market Co-movements," NBER Working Papers 7267, National Bureau of Economic Research, Inc.
  16. Reinhart, Carmen & Kaminsky, Graciela & Lizondo, Saul, 1998. "Leading Indicators of Currency Crises," MPRA Paper 6981, University Library of Munich, Germany.
  17. Abdulnasser Hatemi-J & R. Scott Hacker, 2005. "An alternative method to test for contagion with an application to the Asian financial crisis," Applied Financial Economics Letters, Taylor and Francis Journals, vol. 1(6), pages 343-347, November.
  18. Fazio, Giorgio, 2007. "Extreme interdependence and extreme contagion between emerging markets," Journal of International Money and Finance, Elsevier, vol. 26(8), pages 1261-1291, December.
  19. Rigobon, Roberto, 2003. "On the measurement of the international propagation of shocks: is the transmission stable?," Journal of International Economics, Elsevier, vol. 61(2), pages 261-283, December.
  20. Naylor, Michael J. & Rose, Lawrence C. & Moyle, Brendan J., 2007. "Topology of foreign exchange markets using hierarchical structure methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 199-208.
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