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Network analysis of the e-MID overnight money market: the informational value of different aggregation levels for intrinsic dynamic processes

  • Karl Finger
  • Daniel Fricke
  • Thomas Lux


In this paper, we analyze the network properties of the Italian e-MID data based on overnight loans during the period 1999–2010. We show that the networks appear to be random at the daily level, but contain significant non-random structure for longer aggregation periods. In this sense, the daily networks cannot be considered as being representative for the underlying ‘latent’ network. Rather, the development of various network statistics under time aggregation points toward strong non-random determinants of link formation. We also identify the global financial crisis as a significant structural break for many network measures. Copyright Springer-Verlag Berlin Heidelberg 2013

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Article provided by Springer in its journal Computational Management Science.

Volume (Year): 10 (2013)
Issue (Month): 2 (June)
Pages: 187-211

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Handle: RePEc:spr:comgts:v:10:y:2013:i:2:p:187-211
DOI: 10.1007/s10287-013-0171-9
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  1. G. De Masi & G. Iori & G. Caldarelli, 2006. "A fitness model for the Italian Interbank Money Market," Papers physics/0610108,
  2. Wilkinson, Ian & Young, Louise, 2002. "On cooperating: firms, relations and networks," Journal of Business Research, Elsevier, vol. 55(2), pages 123-132, February.
  3. 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.
  4. Fricke, Daniel, 2012. "Trading strategies in the overnight money market: Correlations and clustering on the e-MID trading platform," Kiel Working Papers 1766, Kiel Institute for the World Economy (IfW).
  5. Lasse Heje Pederson & Markus K Brunnermeier, 2007. "Market Liquidity and Funding Liquidity," FMG Discussion Papers dp580, Financial Markets Group.
  6. Helmut Elsinger & Alfred Lehar & Martin Summer, 2006. "Using Market Information for Banking System Risk Assessment," International Journal of Central Banking, International Journal of Central Banking, vol. 2(1), March.
  7. Beaupain, Renaud & Durré, Alain, 2012. "Nonlinear liquidity adjustments in the euro area overnight money market," Working Paper Series 1500, European Central Bank.
  8. Fricke, Daniel & Lux, Thomas, 2013. "On the distribution of links in the interbank network: Evidence from the e-mid overnight money market," Kiel Working Papers 1819, Kiel Institute for the World Economy (IfW).
  9. 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.
  10. F. Kyriakopoulos & S. Thurner & C. Puhr & S. W. Schmitz, 2009. "Network and eigenvalue analysis of financial transaction networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 523-531, October.
  11. Morten L. Bech & Enghin Atalay, 2008. "The topology of the federal funds market," Staff Reports 354, Federal Reserve Bank of New York.
  12. Thomas Lux, Daniel Fricke, 2012. "Core-Periphery Structure in the Overnight Money Market: Evidence from the e-MID Trading Platform," Kiel Working Papers 1759, Kiel Institute for the World Economy.
  13. Kirman, Alan P. & Vriend, Nicolaas J., 2001. "Evolving market structure: An ACE model of price dispersion and loyalty," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 459-502, March.
  14. Gallegati, Mauro & Giulioni, Gianfranco & Kirman, Alan & Palestrini, Antonio, 2011. "What’s that got to do with the price of fish? Buyers behavior on the Ancona fish market," Journal of Economic Behavior & Organization, Elsevier, vol. 80(1), pages 20-33.
  15. Brodt, Abraham I., 1978. "A dynamic balance sheet management model for a Canadian chartered bank," Journal of Banking & Finance, Elsevier, vol. 2(3), pages 221-241, October.
  16. Hajime Inaoka & Takuto Ninomiya & Ken Taniguchi & Tokiko Shimizu & Hideki Takayasu, 2004. "Fractal Network derived from banking transaction -- An analysis of network structures formed by financial institutions --," Bank of Japan Working Paper Series 04-E-4, Bank of Japan.
  17. Michael Boss & Helmut Elsinger & Martin Summer & Stefan Thurner, 2004. "Network topology of the interbank market," Quantitative Finance, Taylor & Francis Journals, vol. 4(6), pages 677-684.
  18. Cocco, João F. & Gomes, Francisco J. & Martins, Nuno C., 2009. "Lending relationships in the interbank market," Journal of Financial Intermediation, Elsevier, vol. 18(1), pages 24-48, January.
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