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Structural contagion and vulnerability to unexpected liquidity shortfalls

Author

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  • Giansante, Simone
  • Chiarella, Carl
  • Sordi, Serena
  • Vercelli, Alessandro

Abstract

This paper assumes that financial fluctuations are the result of the dynamic interaction between liquidity and solvency conditions of individual economic units. The framework is an extention of Sordi and Vercelli (2012) designed as an heterogeneous agent model which proceeds through discrete time steps within a finite time horizon. The interaction at the micro-level between economic units monitors the spread of contagion and systemic risk, producing interesting complex dynamics. The model is analysed by means of numerical simulations and systemic risk modelling, where local interaction of units is captured and analysed by the bilateral provision of liquidity among units. The behaviour and evolution of economic units are studied for different parameter regimes in order to investigate the relation between units’ expectations, liquidity regimes and contagion. Liquidity policy implications are briefly discussed.

Suggested Citation

  • Giansante, Simone & Chiarella, Carl & Sordi, Serena & Vercelli, Alessandro, 2012. "Structural contagion and vulnerability to unexpected liquidity shortfalls," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 558-569.
    • Handle: RePEc:eee:jeborg:v:83:y:2012:i:3:p:558-569
    DOI: 10.1016/j.jebo.2012.05.014
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    References listed on IDEAS

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    9. Krause, Andreas & Giansante, Simone, 2012. "Interbank lending and the spread of bank failures: A network model of systemic risk," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 583-608.
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    12. Markose, Sheri & Giansante, Simone & Shaghaghi, Ali Rais, 2012. "‘Too interconnected to fail’ financial network of US CDS market: Topological fragility and systemic risk," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 627-646.
    13. Alessandro Vercelli, 2011. "A Perspective on Minsky Moments: Revisiting the Core of the Financial Instability Hypothesis," Review of Political Economy, Taylor & Francis Journals, vol. 23(1), pages 49-67.
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    Cited by:

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    3. Hałaj, Grzegorz, 2018. "System-wide implications of funding risk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1151-1181.
    4. Andre R. Neveu, 2018. "A survey of network-based analysis and systemic risk measurement," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 241-281, July.
    5. Bargigli, Leonardo & Gallegati, Mauro & Riccetti, Luca & Russo, Alberto, 2014. "Network analysis and calibration of the “leveraged network-based financial accelerator”," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 109-125.
    6. Geraci, Marco Valerio & Gnabo, Jean-Yves, 2018. "Measuring Interconnectedness between Financial Institutions with Bayesian Time-Varying Vector Autoregressions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(3), pages 1371-1390, June.
    7. Giampaolo Gabbi & Alesia Kalbaska & Alessandro Vercelli, 2014. "Factors generating and transmitting the financial crisis: The role of incentives: securitization and contagion," Working papers wpaper56, Financialisation, Economy, Society & Sustainable Development (FESSUD) Project.
    8. Hałaj, Grzegorz, 2018. "Agent-based model of system-wide implications of funding risk," Working Paper Series 2121, European Central Bank.
    9. Passarella, Marco, 2011. "From the village fair to Wall Street. The Italian reception of Minsky’s economic thought," MPRA Paper 49593, University Library of Munich, Germany.
    10. Marco Valerio Geraci & Jean-Yves Gnabo, 2015. "Measuring Interconnectedness between Financial Institutions with Bayesian Time-Varying VARS," Working Papers ECARES ECARES 2015-51, ULB -- Universite Libre de Bruxelles.

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    More about this item

    Keywords

    Financial fluctuations; Contagion; Systemic risk; Heterogeneous agents; Complex dynamics;
    All these keywords.

    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G01 - Financial Economics - - General - - - Financial Crises
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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