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Financial Stability Paper No 6: A Risk-Based Methodology for Payment Systems Oversight

Author

Listed:
  • Ben Norman

    (Bank of England)

  • Peter Brierley

    (Bank of England)

  • Peter Gibbard

    (Bank of England)

  • Andrew Mason

    (Bank of England)

  • Andrew Meldrum

    (Bank of England)

Abstract

The Bank of England has developed a risk-based methodology to support its oversight of payment systems. The methodology provides more precise estimates of risks in payment systems than previously available. Because it is consistent and systematic in its application, the methodology assists the Bank in focusing its attention and resources — the intensity of oversight — where the level of risk is estimated to be greatest. This article provides an overview of the framework.

Suggested Citation

  • Ben Norman & Peter Brierley & Peter Gibbard & Andrew Mason & Andrew Meldrum, 2009. "Financial Stability Paper No 6: A Risk-Based Methodology for Payment Systems Oversight," Bank of England Financial Stability Papers 6, Bank of England.
    • Handle: RePEc:boe:finsta:0006
    as

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    File URL: https://www.bankofengland.co.uk/-/media/boe/files/financial-stability-paper/2009/a-risk-based-methodology-for-payments-systems-oversight
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    References listed on IDEAS

    as
    1. Lacker, Jeffrey M., 2004. "Payment system disruptions and the federal reserve following September 11, 2001," Journal of Monetary Economics, Elsevier, vol. 51(5), pages 935-965, July.
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    Cited by:

    1. Svitlana Berezina, 2018. "Methodological Bases Of Classification Of Social Risks," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", vol. 4(5).
    2. Aleksandra Bradic Martinovic, 2011. "Systemic Risks Control Aa a Determinant of Payment Systens Development in WB Countries," Book Chapters, in: Stefan Bogdan Salej & Dejan Eric & Srdjan Redzepagic & Ivan Stosic (ed.), Contemporary Issues in the Integration Processes of Western Balkan Countries in the European Union, chapter 26, pages 424-442, Institute of Economic Sciences.
    3. Carlos León & Clara Machado & Andrés Murcia, 2016. "Assessing Systemic Importance With a Fuzzy Logic Inference System," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(1-2), pages 121-153, January.

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    JEL classification:

    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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