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An agent-based model of payment systems

  • Galbiati, Marco
  • Soramäki, Kimmo

We lay out and simulate 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. We study the equilibrium level of liquidity posted in the system, performing some comparative statics and obtaining insights on the efficiency of alternative system configurations.

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Article provided by Elsevier in its journal Journal of Economic Dynamics and Control.

Volume (Year): 35 (2011)
Issue (Month): 6 (June)
Pages: 859-875

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Handle: RePEc:eee:dyncon:v:35:y:2011:i:6:p:859-875
Contact details of provider: Web page: http://www.elsevier.com/locate/jedc

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  1. Kimmo Soramaki & Morten L. Bech & Jeffrey Arnold & Robert J. Glass & Walter Beyeler, 2006. "The topology of interbank payment flows," Staff Reports 243, Federal Reserve Bank of New York.
  2. Drew Fudenberg & David K. Levine, 1996. "The Theory of Learning in Games," Levine's Working Paper Archive 624, David K. Levine.
  3. Charles M. Kahn & William Roberds, . "Payment System Settlement and Bank Incentives," Center for Financial Institutions Working Papers 97-32, Wharton School Center for Financial Institutions, University of Pennsylvania.
  4. 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.
  5. 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.
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  7. 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, 08.
  8. Tesfatsion, Leigh S., 2001. "Introduction to the Special Issue on Agent-Based Computational Economics," Staff General Research Papers 1915, Iowa State University, Department of Economics.
  9. 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.
  10. Walter E. Beyeler & Robert J. Glass & Morten L. Bech & Kimmo Soramaki, 2006. "Congestion and cascades in payment systems," Staff Reports 259, Federal Reserve Bank of New York.
  11. Angelini, Paolo, 1998. "An analysis of competitive externalities in gross settlement systems," Journal of Banking & Finance, Elsevier, vol. 22(1), pages 1-18, January.
  12. Johan Devriese & Janet Mitchell, 2005. "Liquidity risk in securities settlement," Working Paper Research 72, National Bank of Belgium.
  13. 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.
  14. Leinonen (ed), Harry, 2007. "Simulation studies of liquidity needs, risks and efficiency in payment networks," Scientific Monographs E:39/2007, Bank of Finland.
  15. 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.
  16. Simon Buckle & Erin Campbell, 2003. "Settlement bank behaviour and throughput rules in an RTGS payment system with collateralised intraday credit," Bank of England working papers 209, Bank of England.
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