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Liquidity-saving mechanisms and bank behaviour

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  • Galbiati, Marco

    (Bank of England)

  • Soramaki, Kimmo

    (Helsinki University of Technology)

Abstract

This paper investigates the effect of liquidity-saving mechanisms (LSMs) in interbank payment systems. We model a stylised two-stream payment system where banks choose (a) how much liquidity to post and (b) which payments to route into each of two ‘streams’: the RTGS stream, and an LSM stream. Looking at equilibrium choices we find that, when liquidity is expensive, the two-stream system is more efficient than the vanilla RTGS system without an LSM. This is because the LSM achieves better co-ordination of payments, without introducing settlement risk. However, the two-stream system still only achieves a second-best in terms of efficiency: in many cases, a central planner could further decrease system-wide costs by imposing higher liquidity holdings, and without using the LSM at all. Hence, the appeal of the LSM resides in its ability to ease (but not completely solve) strategic inefficiencies stemming from externalities and free-riding. Second, ‘bad’ equilibria too are theoretically possible in the two-stream system. In these equilibria banks post large amounts of liquidity and at the same time overuse the LSM. The existence of such equilibria suggests that some co-ordination device may be needed to reap the full benefits of an LSM. In all cases, these results are valid for this particular model of an RTGS payment system and the particular LSM.

Suggested Citation

  • Galbiati, Marco & Soramaki, Kimmo, 2010. "Liquidity-saving mechanisms and bank behaviour," Bank of England working papers 400, Bank of England.
  • Handle: RePEc:boe:boeewp:0400
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    References listed on IDEAS

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    1. Beyeler, Walter E. & Glass, Robert J. & Bech, Morten L. & Soramäki, Kimmo, 2007. "Congestion and cascades in payment systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 693-718.
    2. Kurt Johnson & James J. McAndrews & Kimmo Soramaki, 2004. "Economizing on liquidity with deferred settlement mechanisms," Economic Policy Review, Federal Reserve Bank of New York, issue Dec, pages 51-72.
    3. Guntzer, Michael M. & Jungnickel, Dieter & Leclerc, Matthias, 1998. "Efficient algorithms for the clearing of interbank payments," European Journal of Operational Research, Elsevier, vol. 106(1), pages 212-219, April.
    4. Morten L. Bech & Christine Preisig & Kimmo Soramaki, 2008. "Global trends in large-value payments," Economic Policy Review, Federal Reserve Bank of New York, vol. 14(Sep), pages 59-81.
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    Citations

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    Cited by:

    1. Tomaž Fleischman & Paolo Dini, 2021. "Mathematical Foundations for Balancing the Payment System in the Trade Credit Market," JRFM, MDPI, vol. 14(9), pages 1-25, September.
    2. Marius Jurgilas & Antoine Martin, 2013. "Liquidity-saving mechanisms in collateral-based RTGS payment systems," Annals of Finance, Springer, vol. 9(1), pages 29-60, February.
    3. Christopher McMahon & Donald McGillivray & Ajit Desai & Francisco Rivadeneyra & Jean-Paul Lam & Thomas Lo & Danica Marsden & Vladimir Skavysh, 2022. "Improving the Efficiency of Payments Systems Using Quantum Computing," Staff Working Papers 22-53, Bank of Canada.
    4. Tong Mu & He Yi, 2017. "Topology of Complex Networks and Demand of Intraday Liquidity: Based on the Real-Time Gross Settlement System," Central European Economic Journal, Sciendo, vol. 2(49), pages 50-61, December.
    5. Ball, Alan & Denbee, Edward & Manning, Mark & Wetherilt, Anne, 2011. "Financial Stability Paper No 11: Intraday Liquidity - Risk and Regulation," Bank of England Financial Stability Papers 11, Bank of England.
    6. De Caux, Robert & Brede, Markus & McGroarty, Frank, 2016. "Payment prioritisation and liquidity risk in collateralised interbank payment systems," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 139-150.
    7. Fleischman, Tomaž & Dini, Paolo, 2021. "Mathematical foundations for balancing the payment system in the trade credit market," LSE Research Online Documents on Economics 112151, London School of Economics and Political Science, LSE Library.
    8. Norman, Ben, 2010. "Financial Stability Paper No 7: Liquidity Saving in Real-Time Gross Settlement Systems - an Overview," Bank of England Financial Stability Papers 7, Bank of England.
    9. Anneke Kosse & Zhentong Lu & Gabriel Xerri, 2020. "An Economic Perspective on Payments Migration," Staff Working Papers 20-24, Bank of Canada.
    10. Jonnathan Cáceres Santos & René Aldazosa Inchauste, 2013. "Analizando el riesgo sistémico en Bolivia: una aplicación de modelos de topología de redes y simulación al funcionamiento del Sistema de Pagos de Alto Valor," Revista de Análisis del BCB, Banco Central de Bolivia, vol. 17(2(2012)-1), pages 45-80, January.
    11. Constanza Martínez & Freddy Cepeda, 2016. "Free-riding on Liquidity in the Colombian LVPS," Borradores de Economia 977, Banco de la Republica de Colombia.
    12. Tomaž Fleischman & Paolo Dini & Giuseppe Littera, 2020. "Liquidity-Saving through Obligation-Clearing and Mutual Credit: An Effective Monetary Innovation for SMEs in Times of Crisis," JRFM, MDPI, vol. 13(12), pages 1-30, November.
    13. Fleischman, Tomaž & Dini, Paolo & Littera, Giuseppe, 2020. "Liquidity-saving through obligation-clearing and mutual credit: an effective monetary innovation for SMEs in times of crisis," LSE Research Online Documents on Economics 107529, London School of Economics and Political Science, LSE Library.
    14. Ashwin Clarke & Jennifer Hancock, 2012. "Payment System Design and Participant Operational Disruptions," RBA Research Discussion Papers rdp2012-05, Reserve Bank of Australia.
    15. Shaun Byck & Ronald Heijmans, 2020. "How much liquidity would a liquidity-saving mechanism save if a liquidity-saving mechanism could save liquidity? A simulation approach for Canada's large-value payment system Shaun Byck," Working Papers 682, DNB.

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    More about this item

    Keywords

    Payment system; RTGS; liquidity-saving mechanism;
    All these keywords.

    JEL classification:

    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General

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