Designing large value payment systems: an agent based approach
AbstractIn this paper, we report on the main building blocks of an ongoing project to develop a computational agent-based simulator for a generic real-time large-value interbank payment system with a central processor that can implement different rules for payment settlement. The main types of payment system in their polar forms are Real Time Gross Settlement (RTGS) and Deferred Net Settlement (DNS). DNS generates large quantities of settlement risk; in contrast, the elimination of settlement risk in RTGS comes with excessive demands for liquidity on banks. This could lead them to adopt various delaying tactics to minimise liquidity needs with free-riding and other â€˜badâ€™ equilibria as potential outcomes. The introduction of hybrid systems with real-time netting is viewed as a means by which liquidity costs can be reduced while settlement risk is unchanged. Proposed reforms for settlement rules make it imperative to have a methodology to assess the efficiency of the different variants along three dimensions: the cost of liquidity to the individual banks and the system as a whole, settlement risk at both bank and system levels, and how early in the day payments are processed, since this proxies the impact of an operational incident. In this paper, we build a simulator for interbank payments capable of handling real time payment records along with autonomous bank behaviour and show that it can be used to evaluate different payment system designs against these three criteria
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Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 2005 with number 396.
Date of creation: 11 Nov 2005
Date of revision:
Agent based modeling; Real Time Gross Settlement; Deferred Net Settlement; Agent-based simulation; Payment Concentration; Liquidity; Systemic Risk;
Other versions of this item:
- Sheri Markose & Amadeo Alentorn & Stephen Millard & Jing Yang, 2011. "Designing large value payment systems: An agent-based approach," Economics Discussion Papers 700, University of Essex, Department of Economics.
- H30 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - General
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-11-19 (All new papers)
- NEP-CMP-2005-11-19 (Computational Economics)
- NEP-PBE-2005-11-19 (Public Economics)
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- Bech, Morten L. & Garratt, Rod, 2003.
"The intraday liquidity management game,"
Journal of Economic Theory,
Elsevier, vol. 109(2), pages 198-219, April.
- Bech, Morten L. & Garratt, Rod, 2001. "The Intraday Liquidity Management Game," University of California at Santa Barbara, Economics Working Paper Series qt0m6035wg, Department of Economics, UC Santa Barbara.
- 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.
- Luca Arciero & Claudia Biancotti & Leandro D'Aurizio & Claudio Impenna, 2009.
"Exploring Agent-Based Methods for the Analysis of Payment Systems: A Crisis Model for StarLogo TNG,"
Journal of Artificial Societies and Social Simulation,
Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 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.
- Leonardo Bartolini & Spence Hilton & James McAndrews, 2008.
"Settlement delays in the money market,"
319, Federal Reserve Bank of New York.
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