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Designing large value payment systems: An agent-based approach

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  • Sheri Markose
  • Amadeo Alentorn
  • Stephen Millard
  • Jing Yang

Abstract

The purpose of this paper is to show how agent-based simulations of payment systems can be used to aid central bankers and payment system operators in thinking about the appropriate design of payment settlement systems to minimise risk and increase their efficiency. Banks, which we model as the �agents�, are capable of a degree of autonomy with which to respond to payment system rules and adopt a strategy that determines how much collateral to post with the central bank at the start of the day (equivalently how much liquidity to borrow intraday from the central bank) and when to send payment orders to the central processor. An interbank payment system with costly liquidity requires banks to solve an intraday cash management problem, minimising their liquidity and delay costs subject to their beliefs about what the other banks are doing. Some preliminary results are given on how banks learn to endogenously determine how much liquidity to post in the interbank liquidity management game.

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Paper provided by University of Essex, Department of Economics in its series Economics Discussion Papers with number 700.

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Date of creation: 11 Nov 2011
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Handle: RePEc:esx:essedp:700

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  1. Bech, Morten L. & Garratt, Rod, 2003. "The intraday liquidity management game," Journal of Economic Theory, Elsevier, vol. 109(2), pages 198-219, April.
  2. Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-81, September.
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Cited by:
  1. 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.
  2. Luca Arciero & Claudia Biancotti & Leandro DÂ’Aurizio & Claudio Impenna, 2008. "Exploring agent-based methods for the analysis of payment systems: a crisis model for StarLogo TNG," Temi di discussione (Economic working papers) 686, Bank of Italy, Economic Research and International Relations Area.

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