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Liquidity Flows in Interbank Networks

Author

Listed:
  • Fabio Castiglionesi
  • Mario Eboli

Abstract

This article characterizes the interbank deposit network as a flow network that is able to channel liquidity flows among banks. These flows are beneficial, allowing banks to cope with liquidity risk. First, we analyze the efficiency of three network structures: star-shaped, complete, and incomplete in transferring liquidity among banks. The star-shaped interbank network achieves the complete coverage of liquidity risk with the smallest amount of interbank deposits held by each bank. This result implies that the star-shaped network is most resilient to systemic risk. Second, we analyze the banks’ decentralized interbank deposit decisions for a given network structure. We show that all network structures can generate an inefficiently low amount of interbank deposits. However, the star-shaped network induces banks to hold an amount of interbank deposits that is the closest to the efficient level. These results provide a rationale for consistent empirical evidence on sparse and centralized interbank networks.

Suggested Citation

  • Fabio Castiglionesi & Mario Eboli, 2018. "Liquidity Flows in Interbank Networks," Review of Finance, European Finance Association, vol. 22(4), pages 1291-1334.
    • Handle: RePEc:oup:revfin:v:22:y:2018:i:4:p:1291-1334.
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    File URL: http://hdl.handle.net/10.1093/rof/rfy013
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    Citations

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    Cited by:

    1. Tang, Ying & Li, Zhiyong & Chen, Jing & Deng, Chao, 2021. "Liquidity creation cyclicality, capital regulation and interbank credit: Evidence from Chinese commercial banks," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    2. Ricardo Mariño-Martínez & Carlos León & Carlos Cadena-Silva, 2020. "Las entidades de contrapartida central en la mitigación del riesgo de contraparte y de liquidez: El caso de los derivados cambiarios en Colombia," Borradores de Economia 1101, Banco de la Republica de Colombia.
    3. Chabot, Miia & Bertrand, Jean-Louis, 2021. "Complexity, interconnectedness and stability: New perspectives applied to the European banking system," Journal of Business Research, Elsevier, vol. 129(C), pages 784-800.
    4. Zhang, Simpson & van der Schaar, Mihaela, 2020. "Reputational dynamics in financial networks during a crisis," Journal of Financial Stability, Elsevier, vol. 49(C).
    5. Eboli, Mario, 2019. "A flow network analysis of direct balance-sheet contagion in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 103(C), pages 205-233.
    6. Adão, Luiz F.S. & Silveira, Douglas & Ely, Regis A. & Cajueiro, Daniel O., 2022. "The impacts of interest rates on banks’ loan portfolio risk-taking," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    7. Bulent Ozel & Mario Eboli & Andrea Toto & Andrea Teglio, 2018. "Robust-yet-fragile: A simulation model on exposure and concentration at interbank networks," Working Papers 2018/15, Economics Department, Universitat Jaume I, Castellón (Spain).
    8. Hong Chen & Tan Wang & David D. Yao, 2021. "Financial Network and Systemic Risk—A Dynamic Model," Production and Operations Management, Production and Operations Management Society, vol. 30(8), pages 2441-2466, August.
    9. Mario Eboli, 2019. "The Concentration of the Banking Industry and Its Exposure to Financial Contagion," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(4), pages 95-103, April.
    10. Brunetti, Celso & Harris, Jeffrey H. & Mankad, Shawn, 2023. "Networks, interconnectedness, and interbank information asymmetry," Journal of Financial Stability, Elsevier, vol. 67(C).
    11. Celso Brunetti & Jeffrey H. Harris & Shawn Mankad, 2021. "Liquidity Networks, Interconnectedness, and Interbank Information Asymmetry," Finance and Economics Discussion Series 2021-017, Board of Governors of the Federal Reserve System (U.S.).
    12. Mario Eboli & Bulent Ozel & Andrea Teglio & Andrea Toto, 2023. "Connectivity, centralisation and ‘robustness-yet-fragility’ of interbank networks," Annals of Finance, Springer, vol. 19(2), pages 169-200, June.
    13. Tabak, Benjamin Miranda & Silva, Thiago Christiano & Fiche, Marcelo Estrela & Braz, Tércio, 2021. "Citation likelihood analysis of the interbank financial networks literature: A machine learning and bibliometric approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).

    More about this item

    Keywords

    Interbank network; Liquidity coinsurance; Flow networks;
    All these keywords.

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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