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Networked relationships in the e-MID Interbank market: A trading model with memory

  • Giulia Iori
  • Rosario N. Mantegna
  • Luca Marotta
  • Salvatore Micciche'
  • James Porter
  • Michele Tumminello

Interbank markets are fundamental for bank liquidity management. In this paper, we introduce a model of interbank trading with memory. Our model reproduces features of preferential trading patterns in the e-MID market recently empirically observed through the method of statistically validated networks. The memory mechanism is used to introduce a proxy of trust in the model. The key idea is that a lender, having lent many times to a borrower in the past, is more likely to lend to that borrower again in the future than to other borrowers, with which the lender has never (or has in- frequently) interacted. The core of the model depends on only one parameter representing the initial attractiveness of all the banks as borrowers. Model outcomes and real data are compared through a variety of measures that describe the structure and properties of trading networks, including number of statistically validated links, bidirectional links, and 3-motifs. Refinements of the pairing method are also proposed, in order to capture finite memory and reciprocity in the model. The model is implemented within the Mason framework in Java.

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File URL: http://arxiv.org/pdf/1403.3638
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Paper provided by arXiv.org in its series Papers with number 1403.3638.

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Date of creation: Mar 2014
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Handle: RePEc:arx:papers:1403.3638
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  1. Leonardo Bargigli & Giovanni di Iasio & Luigi Infante & Fabrizio Lillo & Federico Pierobon, 2013. "The multiplex structure of interbank networks," Papers 1311.4798, arXiv.org.
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  4. Heider, Florian & Hoerova, Marie & Holthausen, Cornelia, 2009. "Liquidity hoarding and interbank market spreads: the role of counterparty risk," Working Paper Series 1126, European Central Bank.
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  7. Acharya, Viral V & Merrouche, Ouarda, 2012. "Precautionary hoarding of liquidity and inter-bank markets: Evidence from the sub-prime crisis," CEPR Discussion Papers 8859, C.E.P.R. Discussion Papers.
  8. Bech, Morten L. & Atalay, Enghin, 2010. "The topology of the federal funds market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(22), pages 5223-5246.
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  10. 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.
  11. Ladley, Daniel, 2013. "Contagion and risk-sharing on the inter-bank market," Journal of Economic Dynamics and Control, Elsevier, vol. 37(7), pages 1384-1400.
  12. Goyal, Sanjeev & Vega-Redondo, Fernando, 2007. "Structural holes in social networks," Journal of Economic Theory, Elsevier, vol. 137(1), pages 460-492, November.
  13. Iori, Giulia & De Masi, Giulia & Precup, Ovidiu Vasile & Gabbi, Giampaolo & Caldarelli, Guido, 2008. "A network analysis of the Italian overnight money market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 259-278, January.
  14. Dan Ladley, 2010. "An economic model of contagion in interbank lending markets," Discussion Papers in Economics 11/06, Department of Economics, University of Leicester, revised Dec 2010.
  15. Georg, Co-Pierre, 2011. "The effect of the interbank network structure on contagion and common shocks," Discussion Paper Series 2: Banking and Financial Studies 2011,12, Deutsche Bundesbank, Research Centre.
  16. Iori, Giulia & Jafarey, Saqib & Padilla, Francisco G., 2006. "Systemic risk on the interbank market," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 525-542, December.
  17. 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.
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  19. repec:cty:dpaper:13/14 is not listed on IDEAS
  20. Simone LENZU & Gabriele TEDESCHI, 2012. "Systemic risk on different interbank network topologies," Working Papers 375, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
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