IDEAS home Printed from https://ideas.repec.org/p/boe/finsta/0026.html

Financial Stability Paper No 26: Assessing the adequacy of CCPs' default resources

Author

Listed:
  • Fergus Cumming

    (Bank of England)

  • Joseph Noss

    (Bank of England)

Abstract

Central counterparties (CCPs) maintain financial resources that can absorb losses in the event of their members defaulting. These include initial margin collected from members and default funds designed to absorb losses that exceed the initial margin posted by defaulting members. This paper proposes a methodology whereby daily data on a CCP’s member exposures may be used to form a ‘top-down’ statistical model of the risk arising from CCPs’ exposures to their members. In doing so, it may offer a tool with which CCPs, their members and their regulators, could assess the adequacy of CCPs’ total default resources and quantify the trade-off that occurs in the balance of resources between initial margin and default funds. It may also provide a technique to estimate the relative risk borne by clearing members on their CCP default fund contributions.

Suggested Citation

  • Fergus Cumming & Joseph Noss, 2013. "Financial Stability Paper No 26: Assessing the adequacy of CCPs' default resources," Bank of England Financial Stability Papers 26, Bank of England.
    • Handle: RePEc:boe:finsta:0026
    as

    Download full text from publisher

    File URL: https://www.bankofengland.co.uk/-/media/boe/files/financial-stability-paper/2013/assessing-the-adequacy-of-ccps-default-resources
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Elliott, 2013. "Financial Stability Paper No 20: Central counterparty loss-allocation rules," Bank of England Financial Stability Papers 20, Bank of England.
    2. Daniel Heller & Nicholas Vause, 2012. "Collateral requirements for mandatory central clearing of over-the-counter derivatives," BIS Working Papers 373, Bank for International Settlements.
    3. McNeil, Alexander J. & Frey, Rudiger, 2000. "Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach," Journal of Empirical Finance, Elsevier, vol. 7(3-4), pages 271-300, November.
    4. Philipp Haene & Andy Sturm, 2009. "Optimal Central Counterparty Risk Management," Working Papers 2009-07, Swiss National Bank.
    5. Bouye, Eric & Durlleman, Valdo & Nikeghbali, Ashkan & Riboulet, Gaël & Roncalli, Thierry, 2000. "Copulas for finance," MPRA Paper 37359, University Library of Munich, Germany.
    6. Paul Nahai-Williamson & Tomohiro Ota & Mathieu Vital & Anne Wetherilt, 2013. "Financial Stability Paper No 19: Central counterparties and their financial resources – a numerical approach," Bank of England Financial Stability Papers 19, Bank of England.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Paddrick, Mark & Young, H. Peyton, 2021. "How safe are central counterparties in credit default swap markets?," LSE Research Online Documents on Economics 101170, London School of Economics and Political Science, LSE Library.
    2. Russell Barker & Andrew Dickinson & Alex Lipton & Rajeev Virmani, 2016. "Systemic Risks in CCP Networks," Papers 1604.00254, arXiv.org.
    3. Wenqian Huang, 2019. "Central counterparty capitalization and misaligned incentives," BIS Working Papers 767, Bank for International Settlements.
    4. H Peyton Young & Mark Paddrik, 2019. "How Safe are Central Counterparties in Credit Default Swap Markets?," Economics Series Working Papers 885, University of Oxford, Department of Economics.
    5. Agostino Capponi & W. Allen Cheng & Sriram Rajan, 2015. "Systemic Risk: The Dynamics under Central Clearing," Working Papers 15-08, Office of Financial Research, US Department of the Treasury.
    6. Melinda Friesz & Kira Muratov-Szabó & Andrea Prepuk & Kata Váradi, 2021. "Risk Mutualization in Central Clearing: An Answer to the Cross-Guarantee Phenomenon from the Financial Stability Viewpoint," Risks, MDPI, vol. 9(8), pages 1-19, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jin, Xisong & Nadal De Simone, Francisco de A., 2014. "Banking systemic vulnerabilities: A tail-risk dynamic CIMDO approach," Journal of Financial Stability, Elsevier, vol. 14(C), pages 81-101.
    2. Massimiliano Affinito & Matteo Piazza, 2021. "Always Look on the Bright Side? Central Counterparties and Interbank Markets during the Financial Crisis," International Journal of Central Banking, International Journal of Central Banking, vol. 17(1), pages 231-283, March.
    3. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2013. "To the problem of evaluation of market risk of global equity index portfolio in global capital markets," MPRA Paper 47708, University Library of Munich, Germany, revised 20 Jun 2013.
    4. Lan-Ya Ma & Zi-Yu Li, 2017. "Research on the Effect of Chinese Margin Trading on Market Risk: Based on GJR Model and Filtered Historical Simulation," Applied Economics and Finance, Redfame publishing, vol. 4(4), pages 84-93, July.
    5. Xisong Jin & Francisco Nadal De Simone, 2017. "Systemic Financial Sector and Sovereign Risks," BCL working papers 109, Central Bank of Luxembourg.
    6. Xisong Jin & Francisco Nadal De Simone, 2016. "Tracking Changes in the Intensity of Financial Sector's Systemic Risk," BCL working papers 102, Central Bank of Luxembourg.
    7. Alexandra Heath & Gerard Kelly & Mark Manning, 2015. "Central Counterparty Loss Allocation and Transmission of Financial Stress," RBA Research Discussion Papers rdp2015-02, Reserve Bank of Australia.
    8. Paul Nahai-Williamson & Tomohiro Ota & Mathieu Vital & Anne Wetherilt, 2013. "Financial Stability Paper No 19: Central counterparties and their financial resources – a numerical approach," Bank of England Financial Stability Papers 19, Bank of England.
    9. Cyril Monnet & Thomas Nellen, 2021. "The Collateral Costs of Clearing," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(5), pages 939-970, August.
    10. Aniket Bhanu, 2024. "The Effect of Anti‐Procyclical Central Counterparty Margins On Trading," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(9), pages 1474-1486, September.
    11. De Genaro, Alan, 2016. "Systematic multi-period stress scenarios with an application to CCP risk management," Journal of Banking & Finance, Elsevier, vol. 67(C), pages 119-134.
    12. Radoslav Raykov, 2016. "To Share or Not to Share? Uncovered Losses in a Derivatives Clearinghouse," Staff Working Papers 16-4, Bank of Canada.
    13. Bernard, Carole & Czado, Claudia, 2015. "Conditional quantiles and tail dependence," Journal of Multivariate Analysis, Elsevier, vol. 138(C), pages 104-126.
    14. Sofiane Aboura, 2014. "When the U.S. Stock Market Becomes Extreme?," Risks, MDPI, vol. 2(2), pages 1-15, May.
    15. Piotr Łasak & Alicja Szyszko & Patryk Pagacz, 2019. "The interconnectedness between traditional banks, shadow banking and non-performing loans in the Chinese economy," Bank i Kredyt, Narodowy Bank Polski, vol. 50(4), pages 347-374.
    16. Xiao, Tim, 2012. "An Economic Examination of Collateralization in Different Financial Markets," MPRA Paper 47105, University Library of Munich, Germany.
    17. Berens, Tobias & Weiß, Gregor N.F. & Wied, Dominik, 2015. "Testing for structural breaks in correlations: Does it improve Value-at-Risk forecasting?," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 135-152.
    18. Turan G. Bali, 2007. "A Generalized Extreme Value Approach to Financial Risk Measurement," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1613-1649, October.
    19. Alex Huang, 2013. "Value at risk estimation by quantile regression and kernel estimator," Review of Quantitative Finance and Accounting, Springer, vol. 41(2), pages 225-251, August.
    20. Syuhada, Khreshna & Hakim, Arief & Suprijanto, Djoko & Muchtadi-Alamsyah, Intan & Arbi, Lukman, 2022. "Is Tether a safe haven of safe haven amid COVID-19? An assessment against Bitcoin and oil using improved measures of risk," Resources Policy, Elsevier, vol. 79(C).

    More about this item

    Keywords

    ;
    ;

    JEL classification:

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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boe:finsta:0026. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Digital Media Team (email available below). General contact details of provider: https://edirc.repec.org/data/boegvuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.