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Systemic liquidity contagion in the European interbank market

Author

Listed:
  • V. Macchiati
  • G. Brandi
  • G. Cimini
  • G. Caldarelli
  • D. Paolotti
  • T. Di Matteo

Abstract

Systemic liquidity risk, defined by the IMF as "the risk of simultaneous liquidity difficulties at multiple financial institutions", is a key topic in macroprudential policy and financial stress analysis. Specialized models to simulate funding liquidity risk and contagion are available but they require not only banks' bilateral exposures data but also balance sheet data with sufficient granularity, which are hardly available. Alternatively, risk analyses on interbank networks have been done via centrality measures of the underlying graph capturing the most interconnected and hence more prone to risk spreading banks. In this paper, we propose a model which relies on an epidemic model which simulate a contagion on the interbank market using the funding liquidity shortage mechanism as contagion process. The model is enriched with country and bank risk features which take into account the heterogeneity of the interbank market. The proposed model is particularly useful when full set of data necessary to run specialized models is not available. Since the interbank network is not fully available, an economic driven reconstruction method is also proposed to retrieve the interbank network by constraining the standard reconstruction methodology to real financial indicators. We show that the contagion model is able to reproduce systemic liquidity risk across different years and countries. This result suggests that the proposed model can be successfully used as a valid alternative to more complex ones.

Suggested Citation

  • V. Macchiati & G. Brandi & G. Cimini & G. Caldarelli & D. Paolotti & T. Di Matteo, 2019. "Systemic liquidity contagion in the European interbank market," Papers 1912.13275, arXiv.org, revised Sep 2020.
  • Handle: RePEc:arx:papers:1912.13275
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    References listed on IDEAS

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    1. Craig, Ben & von Peter, Goetz, 2014. "Interbank tiering and money center banks," Journal of Financial Intermediation, Elsevier, vol. 23(3), pages 322-347.
    2. 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.
    3. Tiziano Squartini & Guido Caldarelli & Giulio Cimini & Andrea Gabrielli & Diego Garlaschelli, 2018. "Reconstruction methods for networks: the case of economic and financial systems," Papers 1806.06941, arXiv.org.
    4. Michele Manna & Alessandro Schiavone, 2012. "Externalities in interbank network: results from a dynamic simulation model," Temi di discussione (Economic working papers) 893, Bank of Italy, Economic Research and International Relations Area.
    5. Mistrulli, Paolo Emilio, 2011. "Assessing financial contagion in the interbank market: Maximum entropy versus observed interbank lending patterns," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1114-1127, May.
    6. Stefan Thurner & Sebastian Poledna, 2013. "DebtRank-transparency: Controlling systemic risk in financial networks," Papers 1301.6115, arXiv.org.
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    Cited by:

    1. Linas Jurksas & Deimante Teresiene & Rasa Kanapickiene, 2021. "Liquidity Spill-Overs in Sovereign Bond Market: An Intra-Day Study of Trade Shocks in Calm and Stressful Market Conditions," Economies, MDPI, vol. 9(1), pages 1-22, March.
    2. Giuseppe Brandi & T. Di Matteo, 2020. "A new multilayer network construction via Tensor learning," Papers 2004.05367, arXiv.org.

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