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Liquidity, information, and the overnight rate

Author

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  • Cassola, Nuno
  • Ejerskov, Steen
  • Ewerhart, Christian
  • Valla, Natacha

Abstract

We model the interbank market for overnight credit with heterogeneous banks and asymmetric information. An unsophisticated bank just trades to compensate its liquidity imbalance, while a sophisticated bank will exploit its private information about the liquidity situation in the market. It is shown that with positive probability, the liquidity effect (Hamilton, 1997) is reversed, i.e., a liquidity drainage from the banking system may generate an overall decrease in the market rate. The phenomenon does not disappear when the number of banks increases. We also show that private information mitigates the effect of an unexpected liquidity shock on the market rate, suggesting a conservative information policy from a central bank perspective. JEL Classification: G14, G21, E52

Suggested Citation

  • Cassola, Nuno & Ejerskov, Steen & Ewerhart, Christian & Valla, Natacha, 2004. "Liquidity, information, and the overnight rate," Working Paper Series 378, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:2004378
    Note: 334845
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    References listed on IDEAS

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    Cited by:

    1. Schanz, Jochen, 2009. "How do different models of foreign exchange settlement influence the risks and benefits of global liquidity management?," Bank of England working papers 374, Bank of England.
    2. Grzegorz Haᴌaj & Christoffer Kok, 2015. "Modelling the emergence of the interbank networks," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 653-671, April.
    3. Marius Jurgilas, 2005. "Interbank market under the currency board: Case of Lithuania," Computing in Economics and Finance 2005 448, Society for Computational Economics.
    4. Marius Jurgilas, 2006. "Interbank Markets under Currency Boards," Working papers 2006-19, University of Connecticut, Department of Economics.
    5. Bruno S. Frey & Simon Luechinger & Alois Stutzer, 2007. "Calculating Tragedy: Assessing The Costs Of Terrorism," Journal of Economic Surveys, Wiley Blackwell, vol. 21(1), pages 1-24, February.
    6. Bruno Frey, 2005. "‘‘Just forget it.’’ Memory distortions as bounded rationality," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 4(1), pages 13-25, June.
    7. Moschitz, Julius, 2004. "The determinants of the overnight interest rate in the euro area," Working Paper Series 393, European Central Bank.
    8. George Mountis, 2012. "Banks’ Domestic & Cross-border M&As: Where Can They Go Wrong?," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 6(1), pages 39-67, June.

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    More about this item

    Keywords

    asymmetric information; liquidity effect; monetary policy implementation;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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