Spontaneous Congestion Process in Inter-bank Payment System

Chen Ji (), Miao Shiguo (), Chen Taiyang () and Wang Daoping ()
Additional contact information
Chen Ji: The people's bank of China, China
Miao Shiguo: Financial Research Division The people’s bank of China,, China
Chen Taiyang: Accounting and Finance Division The people’s bank of China, China
Wang Daoping: Finance Department Nankai University, China

International Journal of Business Research and Management (IJBRM), 2013, vol. 4, issue 1, 32-41

Abstract: With the highly development of information technology, the more efficient inter-bank payment system is required by modern financial system. This paper analyzes the spontaneous process of congestion in inter-bank payment system through creating multi-agents model between banks and customers. The simulation result indicates that the systemic liquidity congestion of inter-bank payment system is affected seriously by the demand of inter-bank payment. We find that the scale of bank system plays an important role on relieving the systemic payment pressure. On the other hand, the scale of bank system has a positive relationship with the probability of payment crisis occurrence, because the larger scale of the bank, the more pressure it takes in payment system.

Keywords: Swarm Intelligence; Systemic Congestion; Payment Crisis; Non-homogeneous Poisson Process (search for similar items in EconPapers)
JEL-codes: M0 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.cscjournals.org/manuscript/Journals/IJ ... Issue1/IJBRM-138.pdf (application/pdf)
https://www.cscjournals.org/library/manuscriptinfo.php?mc=IJBRM-138 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aml:intbrm:v:4:y:2013:i:1:p:32-41

Access Statistics for this article

International Journal of Business Research and Management (IJBRM) is currently edited by Dr. Mattei Cristofaro

More articles in International Journal of Business Research and Management (IJBRM) from Computer Science Journals (CSC Journals)
Bibliographic data for series maintained by Nabeel Tahir ().