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Assessment of the output floor in an agent-based credit network model

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  • Roussel, Corentin

Abstract

This paper evaluates the effectiveness of the output floor, a key component of the Basel III finalization within an agent-based credit network model encompassing both corporate and interbank loan markets with heterogeneous firms and banks. The model is designed to replicate the evolution of key financial indicators in the Euro Area and is calibrated to empirical output floor settings. The findings confirm that the output floor is a crucial tool for enhancing banking regulation efficiency. It raises the average and reduces the dispersion of risk-weighted asset (RWA) density (i.e., the RWA-to-total assets ratio) across banks. Additionally, it improves alignment between the RWA densities of banks using the internal ratings-based and standardized approaches, thereby strengthening financial actors’ confidence in banking regulation. However, accommodative monetary policy fosters risk accumulation in the banking sector, undermining the output floor’s effectiveness, while tighter monetary policy has the opposite effect. Consequently, financial regulators must carefully coordinate policies to ensure banking stability.

Suggested Citation

  • Roussel, Corentin, 2025. "Assessment of the output floor in an agent-based credit network model," Economic Modelling, Elsevier, vol. 149(C).
  • Handle: RePEc:eee:ecmode:v:149:y:2025:i:c:s0264999325000963
    DOI: 10.1016/j.econmod.2025.107101
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    1. Poutineau, Jean-Christophe & Vermandel, Gauthier, 2017. "Global banking and the conduct of macroprudential policy in a monetary union," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 306-331.
    2. Samuels, Simon, 2013. "Why markets do not trust Basel II Internal Ratings-Based Approach: What can be done about it?," Journal of Risk Management in Financial Institutions, Henry Stewart Publications, vol. 6(1), pages 10-22, January.
    3. Corentin Roussel, 2024. "Macrofinancial Effects of the Output Floor in Euro Area Banking System," Working Papers of BETA 2024-18, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    4. Drumond, Inês & Jorge, José, 2013. "Loan interest rates under risk-based capital requirements: The impact of banking market structure," Economic Modelling, Elsevier, vol. 32(C), pages 602-607.
    5. Lauretta, Eliana, 2018. "The hidden soul of financial innovation: An agent-based modelling of home mortgage securitization and the finance-growth nexus," Economic Modelling, Elsevier, vol. 68(C), pages 51-73.
    6. Passos, Felipe Vieira & Carrasco-Gutierrez, Carlos Enrique & Loureiro, Paulo Roberto Amorim, 2024. "Monetary policy through the risk-taking channel: Evidence from an emerging market," The Quarterly Review of Economics and Finance, Elsevier, vol. 98(C).
    7. 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.
    8. Darracq Pariès, Matthieu & Jacquinot, Pascal & Papadopoulou, Niki, 2016. "Parsing financial fragmentation in the euro area: a multi-country DSGE perspective," Working Paper Series 1891, European Central Bank.
    9. Angeloni, Ignazio & Faia, Ester, 2013. "Capital regulation and monetary policy with fragile banks," Journal of Monetary Economics, Elsevier, vol. 60(3), pages 311-324.
    10. Popoyan, Lilit & Napoletano, Mauro & Roventini, Andrea, 2017. "Taming macroeconomic instability: Monetary and macro-prudential policy interactions in an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 117-140.
    11. Robert Stewart, 2021. "Improving regulatory capital allocation: a case for the internal ratings-based approach for retail credit risk exposures," Journal of Financial Regulation and Compliance, Emerald Group Publishing Limited, vol. 29(3), pages 317-335, May.
    12. Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Russo, Alberto & Stiglitz, Joseph E., 2010. "The financial accelerator in an evolving credit network," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1627-1650, September.
    13. Delis, Manthos D. & Kouretas, Georgios P., 2011. "Interest rates and bank risk-taking," Journal of Banking & Finance, Elsevier, vol. 35(4), pages 840-855, April.
    14. Caterina Mendicino & Kalin Nikolov & Javier Suarez & Dominik Supera, 2018. "Optimal Dynamic Capital Requirements," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(6), pages 1271-1297, September.
    15. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Financialisation and crisis in an agent based macroeconomic model," Economic Modelling, Elsevier, vol. 52(PA), pages 162-172.
    16. Borio, Claudio & Zhu, Haibin, 2012. "Capital regulation, risk-taking and monetary policy: A missing link in the transmission mechanism?," Journal of Financial Stability, Elsevier, vol. 8(4), pages 236-251.
    17. Jacob A. Bikker & Tobias M. Vervliet, 2018. "Bank profitability and risk†taking under low interest rates," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 23(1), pages 3-18, January.
    18. Pérez Montes, Carlos & Trucharte Artigas, Carlos & Cristófoli, María Elizabeth & Lavín San Segundo, Nadia, 2018. "The impact of the IRB approach on the risk weights of European banks," Journal of Financial Stability, Elsevier, vol. 39(C), pages 147-166.
    19. repec:spo:wpmain:info:hdl:2441/5hussro0tc951q0jqpu8quliqu is not listed on IDEAS
    20. Catullo, Ermanno & Giri, Federico & Gallegati, Mauro, 2021. "Macro- And Microprudential Policies: Sweet And Lowdown In A Credit Network Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 25(5), pages 1227-1246, July.
    21. Di Guilmi, C. & Gallegati, M. & Landini, S. & Stiglitz, J.E., 2020. "An analytical solution for network models with heterogeneous and interacting agents," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 189-220.
    22. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Leveraged network-based financial accelerator," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1626-1640.
    23. Darracq Pariès, Matthieu & Kok, Christoffer & Rancoita, Elena, 2019. "Macroprudential policy in a monetary union with cross-border banking," Working Paper Series 2260, European Central Bank.
    24. Gabriele Tedeschi & Amin Mazloumian & Mauro Gallegati & Dirk Helbing, 2012. "Bankruptcy Cascades in Interbank Markets," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-10, December.
    25. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2018. "Financial Regulation And Endogenous Macroeconomic Crises," Macroeconomic Dynamics, Cambridge University Press, vol. 22(4), pages 896-930, June.
    26. Mr. Jorge A Chan-Lau, 2017. "ABBA: An Agent-Based Model of the Banking System," IMF Working Papers 2017/136, International Monetary Fund.
    27. Roussel, Corentin, 2024. "Shadow banking and climate change, the “hidden leaf” of green credit risk policy," Economics Letters, Elsevier, vol. 243(C).
    28. 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.
    29. Cucinelli, Doriana & Battista, Maria Luisa Di & Marchese, Malvina & Nieri, Laura, 2018. "Credit risk in European banks: The bright side of the internal ratings based approach," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 213-229.
    30. Assenza, Tiziana & Cardaci, Alberto & Delli Gatti, Domenico & Grazzini, Jakob, 2018. "Policy experiments in an agent-based model with credit networks," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-17.
    31. Maria Ermolova & Andrey Leonidov & Vladimir Nechitailo & Henry Penikas & Nikolay Pilnik & Ekaterina Serebryannikova, 2021. "Agent-based model of the Russian banking system: Calibration for maturity, interest rate spread, credit risk, and capital regulation," Journal of Simulation, Taylor & Francis Journals, vol. 15(1-2), pages 82-92, April.
    32. Lukáš Pfeifer & Martin Hodula, 2021. "New kid on the block: leverage ratio and its implications for banking regulation," The European Journal of Finance, Taylor & Francis Journals, vol. 27(10), pages 1009-1028, July.
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    Keywords

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    JEL classification:

    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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