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Banking Crises and Financial Integration

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  • Julian Caballero

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Abstract

This paper explores whether the level of financial integration of banks in a country increases the incidence of systemic banking crises. The paper uses a de facto proxy for financial integration based on network statistics of banks participating in the global market of interbank syndicated loans. Specifically, the network statistics degree and betweenness are used to proxy for the de facto integration of the average bank in a country. The paper fits a count data model in the cross-section for the period 1980- 2007 and finds that the level of integration of the average bank is a robust determinant of the incidence of banking crises. An increased level of de facto integration as mea- sured by borrowing by banks is positively associated with the incidence of crises. A higher level of de jure integration (capital account openness) is also associated with a higher incidence of crises. However, the results also indicate that prudential banking regulation (supervision) plays a crucial and much larger role in reducing the incidence of crises. Interestingly, the results also show that the level of integration as measured by betweenness of the average bank has a negative effect on the incidence of crises. That is, the more important the average bank of a country is to the global bank network, the fewer the number of crises the country endures.

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Bibliographic Info

Paper provided by Inter-American Development Bank, Research Department in its series Research Department Publications with number 4816.

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Date of creation: Dec 2012
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Handle: RePEc:idb:wpaper:4816

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  1. Iori, G. & Masi, G. D. & Precup, O. V. & Gabbi, G. & Caldarelli, G., 2005. "A network analysis of the Italian oversight money market," Working Papers 05/05, Department of Economics, City University London.
  2. Davide Furceri & Stéphanie Guichard & Elena Rusticelli, 2011. "Episodes of Large Capital Inflows and the Likelihood of Banking and Currency Crises and Sudden Stops," OECD Economics Department Working Papers 865, OECD Publishing.
  3. Andrew K. Rose & Mark M. Spiegel, 2008. "International Financial Remoteness and Macroeconomic Volatility," NBER Working Papers 14336, National Bureau of Economic Research, Inc.
  4. Raja Kali & Javier Reyes, 2007. "The architecture of globalization: a network approach to international economic integration," Journal of International Business Studies, Palgrave Macmillan, vol. 38(4), pages 595-620, July.
  5. Kubelec, Chris & Sa, Filipa, 2010. "The geographical composition of national external balance sheets: 1980-2005," Bank of England working papers 384, Bank of England.
  6. Galina Hale, 2011. "Bank relationships, business cycles, and financial crisis," Working Paper Series 2011-14, Federal Reserve Bank of San Francisco.
  7. Stefano Schiavo & Javier Reyes & Giorgio Fagiolo, 2010. "International trade and financial integration: a weighted network analysis," Quantitative Finance, Taylor & Francis Journals, vol. 10(4), pages 389-399.
  8. Godlewski, Christophe J. & Weill, Laurent, 2008. "Syndicated loans in emerging markets," Emerging Markets Review, Elsevier, vol. 9(3), pages 206-219, September.
  9. Giorgio Fagiolo & Javier Reyes & Stefano Schiavo, 2010. "The evolution of the world trade web: a weighted-network analysis," Journal of Evolutionary Economics, Springer, vol. 20(4), pages 479-514, August.
  10. Javier A. Reyes & Camelia Minoiu, 2011. "A Network Analysis of Global Banking:1978-2009," IMF Working Papers 11/74, International Monetary Fund.
  11. Joseph Hilbe, 1993. "Generalized linear models," Stata Technical Bulletin, StataCorp LP, vol. 2(11).
  12. Gatev, Evan & Strahan, Philip E., 2009. "Liquidity risk and syndicate structure," Journal of Financial Economics, Elsevier, vol. 93(3), pages 490-504, September.
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Cited by:
  1. Camelia Minoiu & Chanhyun Kang & V.S. Subrahmanian & Anamaria Berea, 2013. "Does Financial Connectedness Predict Crises?," IMF Working Papers 13/267, International Monetary Fund.

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