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Identifying relationship lending in the interbank market: A network approach

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  • Teruyoshi Kobayashi
  • Taro Takaguchi

Abstract

Relationship lending is broadly interpreted as a strong partnership between a lender and a borrower. Nevertheless, we still lack consensus regarding how to quantify the strength of a lending relationship, while simple statistics such as the frequency and volume of loans have been used as proxies in previous studies. Here, we propose statistical tests to identify relationship lending as a significant tie between banks. Application of the proposed method to the Italian interbank networks reveals that the fraction of relationship lending among all bilateral trades has been quite stable and that the relationship lenders tend to impose high interest rates at the time of financial distress.

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  • Teruyoshi Kobayashi & Taro Takaguchi, 2017. "Identifying relationship lending in the interbank market: A network approach," Papers 1708.08594, arXiv.org, revised Apr 2018.
    • Handle: RePEc:arx:papers:1708.08594
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    Cited by:

    1. Yan Alperovych & Anantha Divakaruni & Sophie Manigart, 2022. "Lending when relationships are scarce : The role of information spread via bank networks," Post-Print hal-04325549, HAL.
    2. Markus Merz, 2021. "Contemporaneous financial intermediation," Digital Finance, Springer, vol. 3(1), pages 25-44, March.
    3. Teruyoshi Kobayashi & Anna Sapienza & Emilio Ferrara, 2018. "Extracting the multi-timescale activity patterns of online financial markets," Papers 1802.07405, arXiv.org, revised Apr 2018.
    4. Carlos León & Javier Miguélez, 2020. "Interbank relationship lending in Colombia," Borradores de Economia 1118, Banco de la Republica de Colombia.
    5. Morteza Alaeddini & Philippe Madiès & Paul J. Reaidy & Julie Dugdale, 2023. "Interbank money market concerns and actors’ strategies—A systematic review of 21st century literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 573-654, April.
    6. Adam Copeland, 2019. "The Federal Funds Market over the 2007-09 Crisis," Staff Reports 901, Federal Reserve Bank of New York.
    7. Saroyan, Susanna, 2024. "Counterparty choice, maturity shifts and market freezes: Lessons from the European interbank market," Journal of Economic Dynamics and Control, Elsevier, vol. 160(C).
    8. Chen, Bing & Li, Li & Peng, Fei & Anwar, Sajid, 2020. "Risk contagion in the banking network: New evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    9. Thiago Christiano Silva & Fabiano José Muniz & Benjamin Miranda Tabak, 2022. "Indirect and direct effects of the subprime crisis on the real sector: labor market migration," Empirical Economics, Springer, vol. 62(3), pages 1407-1438, March.
    10. Yoshitaka Ogisu, 2023. "Impacts and Distribution of Premiums from Temporal Social Networks across Generations," Discussion Paper Series DP2023-13, Research Institute for Economics & Business Administration, Kobe University.
    11. Le, Chau & Dickinson, David & Le, Anh, 2022. "Sovereign risk spillovers: A network approach," Journal of Financial Stability, Elsevier, vol. 60(C).
    12. León, Carlos & Miguélez, Javier, 2021. "Interbank relationship lending revisited: Are the funds available at a similar price?," Research in International Business and Finance, Elsevier, vol. 58(C).
    13. Saroyan, Susanna, 2022. "Counterparty choice, maturity shifts and market freezes: lessons from the e-MID interbank market," INET Oxford Working Papers 2022-28, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    14. Morteza Alaeddini & Julie Dugdale & Paul Reaidy & Philippe Madiès & Önder Gürcan, 2021. "An Agent-Oriented, Blockchain-Based Design of the Interbank Money Market Trading System," Post-Print hal-03447648, HAL.
    15. León, Carlos & Miguélez, Javier, 2021. "Interbank relationship lending: A network perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    16. Fabrizio Lillo & Giorgio Rizzini, 2024. "Modelling shock propagation and resilience in financial temporal networks," Papers 2407.09340, arXiv.org.
    17. 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).
    18. Alperovych, Yan & Divakaruni, Anantha & Manigart, Sophie, 2022. "Lending when relationships are scarce: The role of information spread via bank networks," Journal of Corporate Finance, Elsevier, vol. 73(C).

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    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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