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Financial contagion with spillover effects: a multiplex network approach

Author

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  • Peralta, Gustavo
  • Crisóstomo, Ricardo

Abstract

This paper presents a comprehensive model of financial contagion encompassing both direct and indirect transmission channels. We introduce direct contagion through a 2-layered multiplex network to account for the distinct dynamics resulting from collateralized and uncollateralized transactions. Moreover, the spillover effects of fire sales, haircut prociclicality and liquidity hoarding are specifically considered through indirect transmission channels. This framework allows us to analyze the determinants of systemic crisis and the resilience of different financial network configurations. Our first experiment demonstrates the benefits of counterparty diversification as a way of reducing systemic risk. The second experiment highlights the positive effect of higher initial capital and liquidity levels, while stressing the potentially counterproductive impact of rapidly increasing the minimum capital and liquidity ratios, particularly in times of stress. The third experiment examines the possibility of controlling the maximum haircut rates, although the impact of this measure is modest compared to other alternatives. Finally, our last experiment evidences the fundamental role played by fire sales and market liquidity in either leading or mitigating systemic crises. JEL Classification: C63, D85, G01, G18

Suggested Citation

  • Peralta, Gustavo & Crisóstomo, Ricardo, 2016. "Financial contagion with spillover effects: a multiplex network approach," ESRB Working Paper Series 32, European Systemic Risk Board.
  • Handle: RePEc:srk:srkwps:201632
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    File URL: https://www.esrb.europa.eu//pub/pdf/wp/esrbwp32.en.pdf
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    Cited by:

    1. Li, Shouwei & Liu, Yifu & Wu, Chaoqun, 2020. "Systemic risk in bank-firm multiplex networks," Finance Research Letters, Elsevier, vol. 33(C).

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    More about this item

    Keywords

    financial contagion; financial regulation; multiplex networks; simulations; spillover effects; systemic risk;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • G01 - Financial Economics - - General - - - Financial Crises
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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