An agent-based model of payment systems
Marco Galbiati and
Kimmo Soramäki ()
No 352, Bank of England working papers from Bank of England
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.
Keywords: Payment systems; liquidity; RTGS; agent-based modelling; learning; fictitious play. (search for similar items in EconPapers)
JEL-codes: C79 (search for similar items in EconPapers)
Pages: 26 pages
Date: 2008-08
New Economics Papers: this item is included in nep-ban, nep-cmp and nep-gth
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
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Related works:
Journal Article: An agent-based model of payment systems (2011) 
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Persistent link: https://EconPapers.repec.org/RePEc:boe:boeewp:0352
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