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Currency crises and the evolution of foreign exchange market: Evidence from minimum spanning tree

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  • Jang, Wooseok
  • Lee, Junghoon
  • Chang, Woojin

Abstract

We examined the time series properties of the foreign exchange market for 1990–2008 in relation to the history of the currency crises using the minimum spanning tree (MST) approach and made several meaningful observations about the MST of currencies. First, around currency crises, the mean correlation coefficient between currencies decreased whereas the normalized tree length increased. The mean correlation coefficient dropped dramatically passing through the Asian crisis and remained at the lowered level after that. Second, the Euro and the US dollar showed a strong negative correlation after 1997, implying that the prices of the two currencies moved in opposite directions. Third, we observed that Asian countries and Latin American countries moved away from the cluster center (USA) passing through the Asian crisis and Argentine crisis, respectively.

Suggested Citation

  • Jang, Wooseok & Lee, Junghoon & Chang, Woojin, 2011. "Currency crises and the evolution of foreign exchange market: Evidence from minimum spanning tree," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 707-718.
  • Handle: RePEc:eee:phsmap:v:390:y:2011:i:4:p:707-718
    DOI: 10.1016/j.physa.2010.10.028
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    References listed on IDEAS

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    1. Didier, Tatiana & Mauro, Paolo & Schmukler, Sergio L., 2008. "Vanishing financial contagion?," Journal of Policy Modeling, Elsevier, vol. 30(5), pages 775-791.
    2. Cheoljun Eom & Gabjin Oh & Seunghwan Kim, 2007. "Deterministic Factors of Stock Networks based on Cross-correlation in Financial Market," Papers 0705.0076, arXiv.org.
    3. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    4. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    5. Eom, Cheoljun & Oh, Gabjin & Kim, Seunghwan, 2007. "Deterministic factors of stock networks based on cross-correlation in financial market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(1), pages 139-146.
    6. G. Bonanno & G. Caldarelli & F. Lillo & S. Micciché & N. Vandewalle & R. Mantegna, 2004. "Networks of equities in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 38(2), pages 363-371, March.
    7. Tola, Vincenzo & Lillo, Fabrizio & Gallegati, Mauro & Mantegna, Rosario N., 2008. "Cluster analysis for portfolio optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 235-258, January.
    8. Coelho, Ricardo & Gilmore, Claire G. & Lucey, Brian & Richmond, Peter & Hutzler, Stefan, 2007. "The evolution of interdependence in world equity markets—Evidence from minimum spanning trees," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 376(C), pages 455-466.
    9. Mizuno, Takayuki & Takayasu, Hideki & Takayasu, Misako, 2006. "Correlation networks among currencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 364(C), pages 336-342.
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