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Modelling the liquidity ratio as macroprudential instrument

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  • Jan Willem van den End
  • Mark Kruidhof

Abstract

The Basel III Liquidity Coverage Ratio (LCR) is a microprudential instrument to strengthen the liquidity position of banks. However, if in extreme scenarios the LCR becomes a binding constraint, the interaction of bank behaviour with the regulatory rule can have negative externalities. We simulate the systemic implications of the LCR by a liquidity stress-testing model, which takes into account the impact of bank reactions on second round feedback effects. We show that a flexible approach of the LCR, in particular one that recognises less liquid assets in the buffer, is a useful macroprudential instrument to mitigate its adverse side effects during times of stress. At extreme stress levels the instrument becomes ineffective and the lender of the last resort has to underpin the stability of the system.

Suggested Citation

  • Jan Willem van den End & Mark Kruidhof, 2013. "Modelling the liquidity ratio as macroprudential instrument," Journal of Banking Regulation, Palgrave Macmillan, vol. 14(2), pages 91-106, April.
  • Handle: RePEc:pal:jbkreg:v:14:y:2013:i:2:p:91-106
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    References listed on IDEAS

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    1. Claudio Borio & Mathias Drehmann, 2011. "Toward an Operational Framework for Financial Stability: “Fuzzy” Measurement and Its Consequences," Central Banking, Analysis, and Economic Policies Book Series,in: Rodrigo Alfaro (ed.), Financial Stability, Monetary Policy, and Central Banking, edition 1, volume 15, chapter 4, pages 063-123 Central Bank of Chile.
    2. Tapking, Jens & Eisenschmidt, Jens, 2009. "Liquidity risk premia in unsecured interbank money markets," Working Paper Series 1025, European Central Bank.
    3. Viral V. Acharya & Denis Gromb & Tanju Yorulmazer, 2012. "Imperfect Competition in the Interbank Market for Liquidity as a Rationale for Central Banking," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(2), pages 184-217, April.
    4. Jan Willem van den End, 2012. "Liquidity stress-tester: do Basel III and unconventional monetary policy work?," Applied Financial Economics, Taylor & Francis Journals, pages 1233-1257.
    5. Rodrigo Cifuentes & Hyun Song Shin & Gianluigi Ferrucci, 2005. "Liquidity Risk and Contagion," Journal of the European Economic Association, MIT Press, pages 556-566.
    6. Acharya, Viral & Song Shin, Hyun & Yorulmazer, Tanju, 2009. "Endogenous choice of bank liquidity: the role of fire sales," Bank of England working papers 376, Bank of England.
    7. Harry Zheng & Yukun Shen, 2008. "Jump liquidity risk and its impact on CVaR," Journal of Risk Finance, Emerald Group Publishing, vol. 9(5), pages 477-492, November.
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    Cited by:

    1. 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).
    2. Riedler, Jesper & Brueckbauer, Frank, 2017. "Evaluating regulation within an artificial financial system: A framework and its application to the liquidity coverage ratio regulation," ZEW Discussion Papers 17-022, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    3. Daniel C Hardy & Philipp Hochreiter, 2014. "A Simple Macroprudential Liquidity Buffer," IMF Working Papers 14/235, International Monetary Fund.
    4. 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.
    5. Gropp, Reint & Radev, Deyan, 2017. "International banking conglomerates and the transmission of lending shocks across borders," SAFE Working Paper Series 175, Research Center SAFE - Sustainable Architecture for Finance in Europe, Goethe University Frankfurt.
    6. Gabriele Galati & Richhild Moessner, 2014. "What do we know about the effects of macroprudential policy?," DNB Working Papers 440, Netherlands Central Bank, Research Department.
    7. 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).
    8. Giuliana Birindelli & Paola Ferretti & Marco Savioli, 2016. "Basel 3: Does One Size Really Fit All Banks' Business Models?," Working Paper series 16-20, Rimini Centre for Economic Analysis.
    9. Gropp, Reint E. & Radev, Deyan, 2017. "International banking conglomerates and the transmission of lending shocks across borders," IWH Discussion Papers 19/2017, Halle Institute for Economic Research (IWH).

    More about this item

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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