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The effects of interbank networks on efficiency and stability in a macroeconomic agent-based model

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  • Gurgone, Andrea
  • Iori, Giulia
  • Jafarey, Saqib

Abstract

We develop a macroeconomic agent-based model that consists of firms, banks, unions and households who interact on labour, goods, credit and interbank markets. The model endogenises pricing decisions by firms, wage setting by unions and interest rate setting by banks on both firm and interbank lending. Banks also set leverage targets and precautionary liquidity buffers on the basis of internal risk models. Our model produces endogenous fluctuations driven by the pricing behaviour of firms and the wage setting behaviour of unions. Fluctuations lead to loan defaults which are exacerbated as lenders reduce lending and charge higher interest rates, inducing a credit crunch. We also study how making the inter-banking network more connected affects the key outcomes of the economy and find that while the flow of funds from surplus banks to firms can be increased, the latter effect is soon dominated by increasing instability in the real sector as firms default at higher rates. While the banking sector experiences fewer defaults as a whole, losses on the interbank market increase as a source of bank defaults.

Suggested Citation

  • Gurgone, Andrea & Iori, Giulia & Jafarey, Saqib, 2018. "The effects of interbank networks on efficiency and stability in a macroeconomic agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 257-288.
  • Handle: RePEc:eee:dyncon:v:91:y:2018:i:c:p:257-288
    DOI: 10.1016/j.jedc.2018.03.006
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    Cited by:

    1. Andrea Gurgone & Giulia Iori, 2022. "Macroprudential capital buffers in heterogeneous banking networks: insights from an ABM with liquidity crises," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1399-1445, October.
    2. 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.
    3. repec:hal:spmain:info:hdl:2441/1j4v8sl4fc9a49ankmnhv6bb6a is not listed on IDEAS
    4. Simon Cramer & Torsten Trimborn, 2019. "Stylized Facts and Agent-Based Modeling," Papers 1912.02684, arXiv.org.
    5. Papadopoulos, Georgios, 2019. "Income inequality, consumption, credit and credit risk in a data-driven agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 104(C), pages 39-73.
    6. Popoyan, Lilit & Napoletano, Mauro & Roventini, Andrea, 2020. "Winter is possibly not coming: Mitigating financial instability in an agent-based model with interbank market," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    7. Iori, G. & Gurgone, A., 2019. "A multi-agent methodology to assess the effectiveness of alternative systemic risk adjusted capital requirements," Working Papers 19/05, Department of Economics, City University London.
    8. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
    9. 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.
    10. Dietmar Maringer & Ben Craig & Sandra Paterlini, 2022. "Constructing banking networks under decreasing costs of link formation," Computational Management Science, Springer, vol. 19(1), pages 41-64, January.
    11. Szymon Chudziak, 2022. "On the sources of economic growth, structural consistency of agent-based models and mental-accounting consumer behaviour," KAE Working Papers 2022-073, Warsaw School of Economics, Collegium of Economic Analysis.
    12. Mitja Steinbacher & Matthias Raddant & Fariba Karimi & Eva Camacho Cuena & Simone Alfarano & Giulia Iori & Thomas Lux, 2021. "Advances in the agent-based modeling of economic and social behavior," SN Business & Economics, Springer, vol. 1(7), pages 1-24, July.
    13. Ben R. Craig & Dietmar Maringer & Sandra Paterlini, 2019. "Recreating Banking Networks under Decreasing Fixed Costs," Working Papers 19-21, Federal Reserve Bank of Cleveland.
    14. 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.
    15. 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).
    16. 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).

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    More about this item

    Keywords

    Financial fragility; Liquidity hoarding; Macroeconomic stability; Agent-based macroeconomics; Interbank market;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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