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Banks' intraday liquidity management during operational outages: theory and evidence from the UK payment system

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  • Merrouche, Ouarda

    (Bank of England)

  • Schanz, Jochen

    (Bank of England)

Abstract

We investigate how settlement banks in CHAPS, the United Kingdom's large-value payment system, deal with operational risk. In particular, we are interested in payments behaviour towards a bank that is, for operational reasons, unable to make but able to receive payments. If other banks did not sufficiently monitor their outgoing payments, operational shocks could impact the entire payment system because the affected bank may absorb liquidity from the system. We first build a game-theoretic model in which a bank's decision to make payments depends both on whether another bank experiences operational problems, and on the time of day at which the outage occurs. We then investigate these reactions empirically using a non-parametric method. Our theory predicts that banks stop paying to a bank which has been unable to make payments early in the day, when they are uncertain about the payment instructions they might have to execute. When this uncertainty has been resolved (later in the day), healthy banks make payments even to a bank experiencing the operational problem. Both predictions are supported by the data. We show that this behaviour effectively contains the disruption caused by the operational outage: payment flows between healthy banks are largely unaffected.

Suggested Citation

  • Merrouche, Ouarda & Schanz, Jochen, 2009. "Banks' intraday liquidity management during operational outages: theory and evidence from the UK payment system," Bank of England working papers 370, Bank of England.
  • Handle: RePEc:boe:boeewp:0370
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    as
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    Cited by:

    1. Klee, Elizabeth, 2010. "Operational outages and aggregate uncertainty in the federal funds market," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2386-2402, October.
    2. 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.
    3. Constanza Martínez & Freddy Cepeda, 2015. "Reaction Functions of the Participants in Colombia’s Large-value Payment System," Borradores de Economia 875, Banco de la Republica de Colombia.
    4. Benos, Evangelos & Garratt, Rodney & zimmerman, Peter, 2012. "Bank behaviour and risks in CHAPS following the collapse of Lehman Brothers," Bank of England working papers 451, Bank of England.
    5. Clara Lia Machado & Carlos León & Miguel Sarmiento & Orlando Chipatecua, 2010. "Riesgo Sistémico y Estabilidad del Sistema de Pagos de Alto Valor en Colombia: Análisis bajo Topología de Redes y Simulación de Pagos," Borradores de Economia 7669, Banco de la Republica.
    6. Benos, Evangelos & Ferrara, Gerardo & Gurrola-Perez, Pedro, 2017. "The impact of de-tiering in the United Kingdom’s large-value payment system," Bank of England working papers 676, Bank of England.
    7. Simplice A. Asongu, 2013. "Post‐crisis bank liquidity risk management disclosure," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 5(1), pages 65-84, April.
    8. Foote, Elizabeth, 2014. "Information asymmetries and spillover risk in settlement systems," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 179-190.
    9. Merrouche, Ouarda & Schanz, Jochen, 2010. "Banks' intraday liquidity management during operational outages: Theory and evidence from the UK payment system," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 314-323, February.
    10. Clara Machado & Carlos León & Miguel Sarmiento & Freddy Cepeda & Orlando Chipatecua & Jorge Cely, 2011. "Riesgo Sistémico Y Estabilidad Del Sistema De Pagos De Alto Valor En Colombia: Análisis Bajo," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 29(65), pages 106-175, June.
    11. Anastasios Demertzidis & Vahidin Jeleskovic, 2021. "Empirical Estimation of Intraday Yield Curves on the Italian Interbank Credit Market e-MID," JRFM, MDPI, vol. 14(5), pages 1-23, May.
    12. Bartolini, Leonardo & Hilton, Spence & McAndrews, James J., 2010. "Settlement delays in the money market," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 934-945, May.
    13. Ashwin Clarke & Jennifer Hancock, 2012. "Payment System Design and Participant Operational Disruptions," RBA Research Discussion Papers rdp2012-05, Reserve Bank of Australia.
    14. ABBASI Ebrahim & BAHRAMI Alireza & ZADEH Amir Mohammad, 2014. "An Analysis Of The Factors Affecting Banks` Cash Demand: A Case Study Of Refah Bank," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 9(3), pages 5-20, December.
    15. Pokutta, Sebastian & Schmaltz, Christian, 2011. "Managing liquidity: Optimal degree of centralization," Journal of Banking & Finance, Elsevier, vol. 35(3), pages 627-638, March.
    16. Tom Roberts, 2011. "The Impact of Operational Events on the Network Structure of the LVTS," Discussion Papers 11-7, Bank of Canada.
    17. A. Larionov V. & E. Salina S. & А. Ларионов В. & Е. Салина С., 2019. "Регулирование и оценка рисков деятельности платежных систем // Regulation and Risk Assessment of Payment Systems," Управленческие науки // Management Science, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 9(3), pages 40-55.
    18. Bholat, David, 2015. "Big data and central banks," Bank of England Quarterly Bulletin, Bank of England, vol. 55(1), pages 86-93.
    19. Vahidin Jeleskovic & Anastasios Demertzidis, 2018. "Comparing different methods for the estimation of interbank intraday yield curves," MAGKS Papers on Economics 201839, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

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    More about this item

    Keywords

    Payment system; operational outages; liquidity sink;
    All these keywords.

    JEL classification:

    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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