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Using Network Method to Measure Financial Interconnection

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  • Ying Xu
  • Jennifer Corbett

Abstract

This paper uses a new approach to measuring financial openness, highlighting interconnectedness in a network of financial flows. Applying an adapted version of eigenvector centrality, often used in network analysis, the new measure captures multidimensional and high-degree financial relations among countries. It provides a nuanced picture of financial integration and interconnectedness in the global and regional financial networks. The United Kingdom and the United States remain the ‘core’ in the global banking network, with all other countries scattered in the ‘periphery’. The application of the new measure of financial integration to the empirical analysis reveals the nonlinear relationship between financial integration and output volatility.

Suggested Citation

  • Ying Xu & Jennifer Corbett, 2019. "Using Network Method to Measure Financial Interconnection," NBER Working Papers 26499, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:26499
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    References listed on IDEAS

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    1. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    2. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2015. "Systemic Risk and Stability in Financial Networks," American Economic Review, American Economic Association, vol. 105(2), pages 564-608, February.
    3. Kose, M. Ayhan & Prasad, Eswar & Terrones, Marco E., 2007. "How Does Financial Globalization Affect Risk Sharing? Patterns and Channels," IZA Discussion Papers 2903, Institute of Labor Economics (IZA).
    4. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    5. Battiston, Stefano & Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Stiglitz, Joseph E., 2012. "Liaisons dangereuses: Increasing connectivity, risk sharing, and systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1121-1141.
    6. Janet L. Yellen, 2013. "Interconnectedness and Systemic Risk: Lessons from the Financial Crisis and Policy Implications : a speech at the American Economic Association/American Finance Association Joint Luncheon, San Diego, ," Speech 631, Board of Governors of the Federal Reserve System (U.S.).
    7. Robert P. Flood & Andrew K. Rose, 2005. "Financial Integration: A New Methodology And An Illustration," Journal of the European Economic Association, MIT Press, vol. 3(6), pages 1349-1359, December.
    8. Gai, Prasanna & Haldane, Andrew & Kapadia, Sujit, 2011. "Complexity, concentration and contagion," Journal of Monetary Economics, Elsevier, vol. 58(5), pages 453-470.
    9. Mr. Thierry Tressel, 2010. "Financial Contagion Through Bank Deleveraging: Stylized Facts and Simulations Applied to the Financial Crisis," IMF Working Papers 2010/236, International Monetary Fund.
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    More about this item

    JEL classification:

    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • G01 - Financial Economics - - General - - - Financial Crises

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