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The topology of cross-border exposures: beyond the minimal spanning tree approach

  • Alessandro Spelta
  • Tanya Araújo

The recent financial crisis has stressed the need to understand financial systems as networks of interdependent countries, where crossborder financial linkages play the fundamental role. It has also been emphasized that the relevance of these networks relies on the representation of changes follow on the occurrence of stress events. Here, from series of interbank liabilities and claims over different time periods, we have developed networks of positions (net claims) between countries. Besides the Minimal Spanning Tree analysis of the time-constrained networks, a coefficient of residuality is defined to capture the structural evolution of the network of cross-border financial linkages. Because some structural changes seem to be related to the role that countries play in the financial context, networks of debtor and creditor countries are also developed. Empirical results allows to relate the network structure that emerges in the last years to the globally turbulent period that has characterized financial systems since the latest nineties. The residuality coefficient highlights an important modification acting in the financial linkages across countries in the period 1997-2011, and situates the recent financial crises as replica of a larger structural change going on since 1997.

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File URL: http://pascal.iseg.utl.pt/~depeco/wp/wp112012.pdf
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Paper provided by ISEG - School of Economics and Management, Department of Economics, University of Lisbon in its series Working Papers Department of Economics with number 2012/11.

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Date of creation: Mar 2012
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Handle: RePEc:ise:isegwp:wp112012
Contact details of provider: Postal: Department of Economics, ISEG - School of Economics and Management, University of Lisbon, Rua do Quelhas 6, 1200-781 LISBON, PORTUGAL
Web page: https://aquila1.iseg.ulisboa.pt/aquila/departamentos/EC

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  1. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B - Condensed Matter and Complex Systems, Springer, vol. 11(1), pages 193-197, September.
  2. Soramäki, Kimmo & Bech, Morten L. & Arnold, Jeffrey & Glass, Robert J. & Beyeler, Walter E., 2007. "The topology of interbank payment flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(1), pages 317-333.
  3. Tanya Araujo & Francisco Louçã, 2007. "The Seismography of Crashes in Financial Markets," Working Papers Department of Economics 2007/05, ISEG - School of Economics and Management, Department of Economics, University of Lisbon.
  4. Tanya Araújo & R. Vilela Mendes, 2001. "Function and form in networks of interacting agents," Working Papers Department of Economics 2001/03, ISEG - School of Economics and Management, Department of Economics, University of Lisbon.
  5. Garratt, Rodney & Mahadeva, Lavan & Svirydzenka, Katsiaryna, 2011. "Mapping systemic risk in the international banking network," Bank of England working papers 413, Bank of England.
  6. Nier, Erlend & Yang, Jing & Yorulmazer, Tanju & Alentorn, Amadeo, 2008. "Network models and financial stability," Bank of England working papers 346, Bank of England.
  7. G. De Masi & G. Iori & G. Caldarelli, 2006. "A fitness model for the Italian Interbank Money Market," Papers physics/0610108, arXiv.org.
  8. Vilela Mendes, R. & Araújo, Tanya & Louçã, Francisco, 2003. "Reconstructing an economic space from a market metric," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 323(C), pages 635-650.
  9. Javier A. Reyes & Camelia Minoiu, 2011. "A Network Analysis of Global Banking:1978-2009," IMF Working Papers 11/74, International Monetary Fund.
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