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

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  • Alessandro Spelta
  • Tanya Ara\'ujo
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    Abstract

    The recent financial crisis has stressed the need to understand financial systems as networks of interdependent countries, where cross-border 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. Adopting a topological approach we are able to address the role that network structures play in the spread of shocks and conversely, the effectiveness of stress events and its impact on the structure of the networks. 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://arxiv.org/pdf/1112.5711
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    Bibliographic Info

    Paper provided by arXiv.org in its series Papers with number 1112.5711.

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    Date of creation: Dec 2011
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    Handle: RePEc:arx:papers:1112.5711

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    Web page: http://arxiv.org/

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    1. Javier A. Reyes & Camelia Minoiu, 2011. "A Network Analysis of Global Banking:1978-2009," IMF Working Papers 11/74, International Monetary Fund.
    2. Rosario N. Mantegna, 1998. "Hierarchical Structure in Financial Markets," Papers cond-mat/9802256, arXiv.org.
    3. Kimmo Soramaki & Morten L. Bech & Jeffrey Arnold & Robert J. Glass & Walter Beyeler, 2006. "The topology of interbank payment flows," Staff Reports 243, Federal Reserve Bank of New York.
    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. de Masi, G. & Iori, G. & Caldarelli, G., 2006. "A fitness model for the Italian interbank money market," Working Papers 06/08, Department of Economics, City University London.
    6. Garratt, Rodney & Mahadeva, Lavan & Svirydzenka, Katsiaryna, 2011. "Mapping systemic risk in the international banking network," Bank of England working papers 413, Bank of England.
    7. 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.
    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. Nier, Erlend & Yang, Jing & Yorulmazer, Tanju & Alentorn, Amadeo, 2008. "Network models and financial stability," Bank of England working papers 346, Bank of England.
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