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The network topology of CHAPS Sterling

Author

Listed:
  • Christopher Becher

    (Bank of England)

  • Stephen Millard

    (Bank of England)

  • Kimmo SoramÃÂäki

    (Bank of England)

Abstract

In this paper, we seek to understand the network topology of large-value interbank payment flows in the United Kingdom so as to understand better the risks associated with the system. We first examined the broad network topology of interbank payments in the United Kingdom. We found that, despite the fact that there are far fewer banks in the United Kingdom than in the United States, the structure of UK interbank payments is similar in certain respects to that of the United States, but that the tiered structure of the UK system implies rather different risk characteristics. We then looked at CHAPS and found that payment flows in CHAPS form a well-connected network whose properties change little day to day. This means that liquidity is able to flow efficiently around the network and that the network is quite resilient to shocks. This finding was backed up by examining the effects of a particular incident on the properties of the CHAPS network. In that particular instance, the effective removal of one bank for much of the day had little impact on the ability of other banks to make payments between one another.

Suggested Citation

  • Christopher Becher & Stephen Millard & Kimmo SoramÃÂäki, 2008. "The network topology of CHAPS Sterling," Bank of England working papers 355, Bank of England.
    • Handle: RePEc:boe:boeewp:0355
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    References listed on IDEAS

    as
    1. Hajime Inaoka & Takuto Ninomiya & Ken Taniguchi & Tokiko Shimizu & Hideki Takayasu, 2004. "Fractal Network derived from banking transaction -- An analysis of network structures formed by financial institutions --," Bank of Japan Working Paper Series 04-E-4, Bank of Japan.
    2. Soramäki, Kimmo & Bech, Morten L. & Arnold, Jeffrey & Glass, Robert J. & Beyeler, Walter E., 2007. "The topology of interbank payment flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(1), pages 317-333.
    3. Crucitti, Paolo & Latora, Vito & Marchiori, Massimo & Rapisarda, Andrea, 2004. "Error and attack tolerance of complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 340(1), pages 388-394.
    4. Leinonen, Harry, 2005. "Liquidity, risks and speed in payment and settlement systems : a simulation approach," Scientific Monographs, Bank of Finland, number 2005_031.
    5. Christopher Becher & Marco Galbiati & Merxe Tudela, 2008. "The timing and funding of CHAPS sterling payments," Economic Policy Review, Federal Reserve Bank of New York, vol. 14(Sep), pages 113-133.
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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