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An agent-based model of payment systems

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  • Galbiati, Marco

    ()

    (Bank of England)

  • Soramaki, Kimmo

    ()

    (Helsinki University of Technology)

Abstract

This paper lays out and simulates a multi-agent, multi-period model of an RTGS payment system. At the beginning of the day, banks choose how much costly liquidity to allocate to the settlement process. Then, they use it to execute an exogenous, random stream of payment orders. If a bank's liquidity stock is depleted, payments are queued until new liquidity arrives from other banks, imposing costs on the delaying bank. The paper studies the equilibrium level of liquidity posted in the system, performing some comparative statics and obtaining: i) a liquidity demand curve which links liquidity to delay costs and ii) insights on the efficiency of alternative system configurations.

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Paper provided by Bank of England in its series Bank of England working papers with number 352.

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Length: 26 pages
Date of creation: Aug 2008
Date of revision:
Handle: RePEc:boe:boeewp:0352
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Keywords: Payment systems; liquidity; RTGS; agent-based modelling; learning; fictitious play.;

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Find related papers by JEL classification:
  • C79 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Other

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  1. Kukushkin, Nikolai S., 2004. "Best response dynamics in finite games with additive aggregation," Games and Economic Behavior, Elsevier, vol. 48(1), pages 94-110, July.
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  7. John P. Jackson & Mark J. Manning, 2007. "Central Bank intraday collateral policy and implications for tiering in rtgs payment systems," DNB Working Papers 129, Netherlands Central Bank, Research Department.
  8. Dindos, Martin & Mezzetti, Claudio, 2006. "Better-reply dynamics and global convergence to Nash equilibrium in aggregative games," Games and Economic Behavior, Elsevier, vol. 54(2), pages 261-292, February.
  9. Kahn, Charles M & Roberds, William, 1998. "Payment System Settlement and Bank Incentives," Review of Financial Studies, Society for Financial Studies, vol. 11(4), pages 845-70.
  10. Chakravorti, Sujit, 2000. "Analysis of systemic risk in multilateral net settlement systems," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 10(1), pages 9-30, January.
  11. Soramäki, Kimmo & Bech, Morten L. & Arnold, Jeffrey & Glass, Robert J. & Beyeler, Walter E., 2007. "The topology of interbank payment flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(1), pages 317-333.
  12. Devriese, Johan & Mitchell, Janet, 2005. "Liquidity Risk in Securities Settlement," CEPR Discussion Papers 5123, C.E.P.R. Discussion Papers.
  13. Leinonen, Harry, 2007. "Simulation studies of liquidity needs, risks and efficiency in payment networks : Proceedings from the Bank of Finland Payment and Settlement System Seminars 2005-2006," Scientific Monographs, Bank of Finland, number 2007_039, 06.
  14. Leinonen, Harry, 2005. "Liquidity, risks and speed in payment and settlement systems : a simulation approach," Scientific Monographs, Bank of Finland, number 2005_031, 06.
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  17. Marco Galbiati & Simone Giansante, 2010. "Emergence of networks in large value payment systems (LVPSs)," Department of Economic Policy, Finance and Development (DEPFID) University of Siena 0110, Department of Economic Policy, Finance and Development (DEPFID), University of Siena.
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Cited by:

  1. Evangelos Benos & Rodney J. Garratt & Peter Zimmerman, 2014. "The Role of Counterparty Risk in CHAPS Following the Collapse of Lehman Brothers," International Journal of Central Banking, International Journal of Central Banking, vol. 10(4), pages 143-172, December.
  2. Jakub Gorka, 2013. "Ryzyko w systemie platniczym. (Risk in the payment system.)," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 11(42), pages 111-123.
  3. Hellqvist, Matti & Laine, Tatu, 2012. "Diagnostics for the financial markets : computational studies of payment system : Simulator Seminar Proceedings 2009-2011," Scientific Monographs, Bank of Finland, number 2012_045, 06.
  4. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," EconomiX Working Papers 2012-17, University of Paris West - Nanterre la Défense, EconomiX.
  5. 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.
  6. Krug, Sebastian & Wohltmann, Hans-Werner, 2016. "Shadow banking, financial regulation and animal spirits: An ACE approach," Economics Working Papers 2016-08, Christian-Albrechts-University of Kiel, Department of Economics.
  7. Carlos Castro & Juan Sebastian Ordoñez, 2012. "A Network model of systemic risk: identifying the sources of dependence across institutions," DOCUMENTOS DE TRABAJO 009651, UNIVERSIDAD DEL ROSARIO.
  8. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux: New Developments and Challenges Ahead," Sciences Po publications info:hdl:2441/dcditnq6282, Sciences Po.
  9. Office of Financial Research (ed.), 2012. "Office of Financial Research 2012 Annual Report," Reports, Office of Financial Research, US Department of the Treasury, number 12-1.
  10. Soramäki, Kimmo & Cook, Samantha, 2013. "SinkRank: An algorithm for identifying systemically important banks in payment systems," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 7, pages 1-27.
  11. Jonnathan Cáceres Santos and 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.
  12. Co-Pierre Georg & Jenny Poschmann, 2010. "Systemic risk in a network model of interbank markets with central bank activity," Jena Economic Research Papers 2010-033, Friedrich-Schiller-University Jena.
  13. Co-Pierre Georg, 2010. "The effect of the interbank network structure on contagion and financial stability," Global Financial Markets Working Paper Series 12-2010, Friedrich-Schiller-University Jena.
  14. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis," Working Papers hal-01070338, HAL.
  15. Soramäki, Kimmo & Cook, Samantha, 2012. "Algorithm for identifying systemically important banks in payment systems," Economics Discussion Papers 2012-43, Kiel Institute for the World Economy (IfW).
  16. repec:hhs:bofism:2012_045 is not listed on IDEAS
  17. Krug, Sebastian, 2015. "The interaction between monetary and macroprudential policy: Should central banks "lean against the wind" to foster macrofinancial stability?," Economics Working Papers 2015-08, Christian-Albrechts-University of Kiel, Department of Economics.
  18. Biliana Alexandrova-Kabadjova & Francisco Solís-Robleda, 2013. "Managing Intraday Liquidity: The Mexican Experience," Working Papers 2013-01, Banco de México.
  19. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis: A New Tool for Economic and Policy Analysis," Sciences Po publications 3, Sciences Po.
  20. 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.

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