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Bank balance sheet dynamics under a regulatory liquidity-coverage-ratio constraint

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Listed:
  • Lakshmi Balasubramanyan
  • David D. VanHoose

Abstract

This paper presents a dynamic model of a bank’s optimal choices of imposing a binding liquidity-coverage-ratio (LCR) constraint. Our baseline balance-sheet dynamics starts with portfolio separation and no LCR constraint. Under a scenario in which regulators prohibit banks from applying securities to fulf ll the LCR constraint, portfolio separation continues to hold, but deposit holdings depend on the extent to which the LCR constraint is binding. When banks are allowed to apply securities toward satisfying the constraint, portfolio separation can break down and lead to ambiguous effects on optimal dynamic loan and deposit paths. Our results indicate that under special cases in which portfolio separation holds, the LCR constraint affects bank-sheet dynamics in ways not previously recognized. As regulators move forward in implementing Basel III style LCR, it is imperative to understand the effects of the LCR constraint on bank balance-sheet dynamics.

Suggested Citation

  • Lakshmi Balasubramanyan & David D. VanHoose, 2012. "Bank balance sheet dynamics under a regulatory liquidity-coverage-ratio constraint," Working Paper 1209, Federal Reserve Bank of Cleveland.
  • Handle: RePEc:fip:fedcwp:1209
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    References listed on IDEAS

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    10. Kenneth J. Kopecky & David D. Van Hoose, 2012. "Imperfect Competition in Bank Retail Markets, Deposit and Loan Rate Dynamics, and Incomplete Pass Through," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(6), pages 1185-1205, September.
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    Citations

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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. Karel Brůna & Naďa Blahová, 2015. "Ekonomické a regulatorní podmínky řízení likvidity v bankovním sektoru České republiky v kontextu aplikace poměru likvidního krytí
      [Economic and Regulatory Conditions of Liquidity Management in the
      ," Politická ekonomie, University of Economics, Prague, vol. 2015(6), pages 768-713.
    3. Karel Brůna & Naďa Blahová, 2015. "Ekonomické a regulatorní podmínky řízení likvidity v bankovním sektoru České republiky v kontextu aplikace poměru likvidního krytí
      [Economic and Regulatory Conditions of Liquidity Management in the
      ," Politická ekonomie, University of Economics, Prague, vol. 2015(6), pages 689-713.
    4. Grzegorz Hałaj, 2016. "Dynamic Balance Sheet Model With Liquidity Risk," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(07), pages 1-37, November.
    5. 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.
    6. Kok, Christoffer & Hałaj, Grzegorz, 2014. "Modeling emergence of the interbank networks," Working Paper Series 1646, European Central Bank.
    7. Clancy, Daragh & Merola, Rossana, 2017. "Countercyclical capital rules for small open economies," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 332-351.
    8. Karel Brůna & Naďa Blahová, 2016. "Systemic Liquidity Shocks and Banking Sector Liquidity Characteristics on the Eve of Liquidity Coverage Ratio Application - The Case of the Czech Republic," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 5(1), pages 159-184.

    More about this item

    Keywords

    Banks and banking ; Liquidity (Economics);

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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