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Resilience of the Interbank Network to Shocks and Optimal Bail-Out Strategy: Advantages of "Tiered" Banking Systems

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Abstract

Systemic risk and the scale of systemic breakdown in the banking system are the key concern for central banks charged with safeguarding overall financial stability. This paper focuses on the risk and potential impact of system-wide defaults in the frequently observed ”tiered” banking system, where relatively few first-tier head institutions are connected with second-tier ”peripheral” banks and are also connected with each other, while the peripheral banks are almost exclusively connected with the head banks. The banking network is constructed from a number of banks which are linked by interbank exposures with a certain predefined probability. In this framework, the tiered structure is represented either by a network with negative correlation in connectivity of neighboring banks, or alternatively, by a network with a scale-free distribution of connectivity across banks. The main finding of the paper highlights the advantages of tiering within the banking system in terms of both the resilience of the banking network to systemic shocks and the extent of necessary government intervention should a crisis evolve. Specifically, the tiered network structure, showing negative correlations in bank connectivity, is found to be less prone to systemic breakdown than other structures, showing either positive or zero correlations. Moreover, in the scale-free tiered system, the resilience of the system to shocks increases as the level of tiering grows. Also, the targeted bail-out policy of the government aimed at rescuing the most connected failing banks in the first place, is expected to be more effective and induce lower costs in a tiered system with high level of tiering.

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  • Mariya Teteryatnikova, 2012. "Resilience of the Interbank Network to Shocks and Optimal Bail-Out Strategy: Advantages of "Tiered" Banking Systems," Vienna Economics Papers vie1203, University of Vienna, Department of Economics.
  • Handle: RePEc:vie:viennp:vie1203
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    Cited by:

    1. Tingqiang Chen & Binqing Xiao & Haifei Liu, 2018. "Credit Risk Contagion in an Evolving Network Model Integrating Spillover Effects and Behavioral Interventions," Complexity, Hindawi, vol. 2018, pages 1-16, March.

    More about this item

    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
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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