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The impact of Basel III on financial (in)stability: an agent-based credit network approach

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  • Sebastian Krug
  • Matthias Lengnick
  • Hans-Werner Wohltmann

Abstract

The Basel III accord reacts to the events of the recent financial crisis with a combination of revised micro- and new macroprudential regulatory instruments to address various dimensions of systemic risk. This approach of cumulating requirements bears the risk of individual measures negating or even conflicting with each other which might lessen their desired effects on financial stability. We provide an analysis of the impact of Basel III's main components on financial stability in a stock-flow consistent agent-based computational economic model. We find that the positive joint impact of the microprudential instruments is considerably larger than the sum of the individual contributions to stability, i.e. the standalone impacts are non-additive. However, except for the buffers, the macroprudential overlay's impact is either marginal or even destabilizing. Despite its simplicity, the leverage ratio performs poorly, especially when associated drawbacks are explicitly taken into account. Surcharges on SIBs seem to rather contribute to financial regulations complexity than to the resilience of the system.

Suggested Citation

  • Sebastian Krug & Matthias Lengnick & Hans-Werner Wohltmann, 2014. "The impact of Basel III on financial (in)stability: an agent-based credit network approach," Quantitative Finance, Taylor & Francis Journals, vol. 15(12), pages 1917-1932, December.
  • Handle: RePEc:taf:quantf:v:15:y:2015:i:12:p:1917-1932
    DOI: 10.1080/14697688.2014.999701
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    Cited by:

    1. 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.
    2. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    3. Xiong, Wanting & Wang, Yougui, 2017. "The impact of Basel III on money creation: A synthetic analysis," Economics Discussion Papers 2017-53, Kiel Institute for the World Economy (IfW).
    4. Krug, Sebastian & Wohltmann, Hans-Werner, 2016. "Shadow banking, financial regulation and animal spirits: An ACE approach," Economics Working Papers 2016-08, Christian-Albrechts-University of Kiel, Department of Economics.
    5. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Monetary policy and large crises in a financial accelerator agent-based model," FinMaP-Working Papers 65, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    6. Krug, Sebastian, 2015. "The interaction between monetary and macroprudential policy: Should central banks "lean against the wind" to foster macrofinancial stability?," Economics Working Papers 2015-08, Christian-Albrechts-University of Kiel, Department of Economics.
    7. Michel Alexandre da Silva & Gilberto Tadeu Lima, 2015. "Combining Monetary Policy and Prudential Regulation: an agent-based modeling approach," Working Papers Series 394, Central Bank of Brazil, Research Department.
    8. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW).

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    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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