Designing large value payment systems: An agent-based approach
AbstractThe 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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Bibliographic InfoPaper provided by University of Essex, Department of Economics in its series Economics Discussion Papers with number 700.
Date of creation: 11 Nov 2011
Date of revision:
Postal: Discussion Papers Administrator, Department of Economics, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, U.K.
Other versions of this item:
- Jing Yang & Sheri Markose & Amadeo Alentorn, 2005. "Designing large value payment systems: an agent based approach," Computing in Economics and Finance 2005 396, Society for Computational 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-2011-11-21 (All new papers)
- NEP-BAN-2011-11-21 (Banking)
- NEP-CBA-2011-11-21 (Central Banking)
- NEP-CMP-2011-11-21 (Computational Economics)
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