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Intraday liquidity management: a tale of games banks play

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  • Morten L. Bech

Abstract

Over the last few decades, most central banks, concerned about settlement risks inherent in payment netting systems, have implemented real-time gross settlement (RTGS) systems. Although RTGS systems can significantly reduce settlement risk, they require greater liquidity to smooth nonsynchronized payment flows. Thus, central banks typically provide intraday credit to member banks, either as collateralized credit or priced credit. Because intraday credit is costly for banks, how intraday liquidity is managed has become a competitive parameter in commercial banking and a policy concern of central banks. This article uses a game-theoretical framework to analyze the intraday liquidity management behavior of banks in an RTGS setting. The games played by banks depend on the intraday credit policy of the central bank and encompass two well-known paradigms in game theory: \\"the prisoner's dilemma\\" and \\"the stag hunt.\\" The former strategy arises in a collateralized credit regime, where banks have an incentive to delay payments if intraday credit is expensive, an outcome that is socially inefficient. The latter strategy occurs in a priced credit regime, where postponement of payments can be socially efficient under certain circumstances. The author also discusses how several extensions of the framework affect the results, such as settlement risk, incomplete information, heterogeneity, and repeated play.

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  • Morten L. Bech, 2008. "Intraday liquidity management: a tale of games banks play," Economic Policy Review, Federal Reserve Bank of New York, vol. 14(Sep), pages 7-23.
  • Handle: RePEc:fip:fednep:y:2008:i:sep:p:7-23:n:v.14no.2
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    Cited by:

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    2. Adam Copeland & Darrell Duffie & Yilin Yang, 2021. "Reserves Were Not So Ample After All," Staff Reports 974, Federal Reserve Bank of New York.
    3. Alexandrova-Kabadjova Biliana & Solís-Robleda Francisco, 2012. "The Mexican Experience in How the Settlement of Large Payments is Performed in the Presence of a High Volume of Small Payments," Working Papers 2012-17, Banco de México.
    4. Morten L. Bech & Rodney J. Garratt, 2012. "Illiquidity in the Interbank Payment System Following Wide‐Scale Disruptions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(5), pages 903-929, August.
    5. Rodney J. Garratt, 2022. "An Application of Shapley Value Cost Allocation to Liquidity Savings Mechanisms," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(6), pages 1875-1888, September.
    6. Gara Afonso & Darrell Duffie & Lorenzo Rigon & Hyun Song Shin, 2022. "How Abundant Are Reserves? Evidence from the Wholesale Payment System," Staff Reports 1040, Federal Reserve Bank of New York.
    7. Olivier Armantier & Jeffrey Arnold & James J. McAndrews, 2008. "Changes in the timing distribution of Fedwire funds transfers," Economic Policy Review, Federal Reserve Bank of New York, vol. 14(Sep), pages 83-112.
    8. Carlos León, 2012. "Estimating financial institutions’ intraday liquidity risk: a Monte Carlo simulation approach," Borradores de Economia 703, Banco de la Republica de Colombia.
    9. B. Craig & D. Salakhova & M. Saldias, 2018. "Payments delay: propagation and punishment," Working papers 671, Banque de France.
    10. Sinelnikova-Muryleva, Elena (Синельников-Мурылева, Елена), 2018. "Analysis of the Consequences of the Development of Payment Systems for Monetary Policy in the Context of Deepening Financial Markets [Анализ Последствий Развития Платежных Систем Для Денежно-Кредит," Working Papers 031813, Russian Presidential Academy of National Economy and Public Administration.
    11. Joaquin Bernal & Freddy Cepeda L. & Fabio Ortega C., 2011. "Cuantificación de la contribución de las fuentes de liquidez en el Sistema de Pagos de Alto Valor en Colombia: una aproximación preliminar," Borradores de Economia 683, Banco de la Republica de Colombia.
    12. Davey, Nick & Gray, Daniel, 2014. "How has the Liquidity Saving Mechanism reduced banks’ intraday liquidity costs in CHAPS?," Bank of England Quarterly Bulletin, Bank of England, vol. 54(2), pages 180-189.
    13. Tomohiro Ota, 2016. "Sequential payments and optimal pricing in payment systems," Annals of Finance, Springer, vol. 12(3), pages 441-463, December.
    14. Carlos Léon, 2012. "Estimating financial institutions´ intraday liquidity risk: a Monte Carlo simulation approach," Borradores de Economia 9441, Banco de la Republica.
    15. Hellqvist, Matti & Laine, Tatu (ed.), 2012. "Diagnostics for the financial markets: computational studies of payment system: Simulator Seminar Proceedings 2009-2011," Bank of Finland Scientific Monographs, Bank of Finland, volume 0, number sm2012_045.

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