IDEAS home Printed from https://ideas.repec.org/a/aza/rmfi00/y2012v5i3p273-287.html
   My bibliography  Save this article

Quantification of central counterparty risk

Author

Listed:
  • Arnsdorf, Matthias

Abstract

A clearing member of a central counterparty (CCP) is exposed to losses on their guarantee fund and initial margin contributions. Such losses can be incurred whenever the CCP has insufficient funds to unwind the portfolio of a defaulting clearing member. This does not necessarily require the default of the CCP itself. In this paper the aim is to quantify the risk a financial institution has when facing a CCP. It is shown that a clearing member's CCP risk is given by a sum of exposures to each of the other clearing members. This arises because of the implicit default insurance that each member has provided in the form of mutualised, loss sharing collateral. The exposures are calculated by explicitly modelling the capital structure of a CCP as well as the loss distributions of the individual member portfolios. An important consideration in designing the model is the limited transparency with respect to the portfolio composition and collateral levels of individual clearing members. To overcome this the fact is leveraged that, for a typical CCP, margin levels are risk based. In particular, the portfolio loss tail as a Pareto distribution is parameterised and this is calibrated to the CCP defined probability of losses exceeding the posted initial margin levels. A key aspect of the model is that wrong-way risk is explicitly taken into account, ie the fact that member defaults are more likely to occur in stressed market conditions, as well as potential contagion between a member's default and the losses on his portfolio.

Suggested Citation

  • Arnsdorf, Matthias, 2012. "Quantification of central counterparty risk," Journal of Risk Management in Financial Institutions, Henry Stewart Publications, vol. 5(3), pages 273-287, June.
  • Handle: RePEc:aza:rmfi00:y:2012:v:5:i:3:p:273-287
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/5067/download/
    Download Restriction: Requires a paid subscription for full access.

    File URL: https://hstalks.com/article/5067/
    Download Restriction: Requires a paid subscription for full access.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Albanese Claudio & Armenti Yannick & Crépey Stéphane, 2020. "XVA metrics for CCP optimization," Statistics & Risk Modeling, De Gruyter, vol. 37(1-2), pages 25-53, January.
    2. Christian Kubitza & Loriana Pelizzon & Mila Getmansky Sherman, 2021. "Loss Sharing in Central Clearinghouses: Winners and Losers," ECONtribute Discussion Papers Series 066, University of Bonn and University of Cologne, Germany.

    More about this item

    Keywords

    counterparty credit risk; central counterparty; clearing house; systemic risk; exposure; wrong-way risk (WWR);
    All these keywords.

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

    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:aza:rmfi00:y:2012:v:5:i:3:p:273-287. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Henry Stewart Talks (email available below). General contact details of provider: .

    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.