IDEAS home Printed from https://ideas.repec.org/p/tiu/tiutis/39f37d9b-7b60-4d46-9608-dc8fc24410ae.html
   My bibliography  Save this paper

Why Is a CCP failure very unlikely?

Author

Listed:
  • McLaughlin, Dennis
  • Berndsen, Ron

    (Tilburg University, School of Economics and Management)

Abstract

No abstract is available for this item.

Suggested Citation

  • McLaughlin, Dennis & Berndsen, Ron, 2021. "Why Is a CCP failure very unlikely?," Other publications TiSEM 39f37d9b-7b60-4d46-9608-d, Tilburg University, School of Economics and Management.
    • Handle: RePEc:tiu:tiutis:39f37d9b-7b60-4d46-9608-dc8fc24410ae
    as

    Download full text from publisher

    File URL: https://repository.tilburguniversity.edu/bitstreams/516d384d-a4d6-4991-afa8-451b046255e3/download
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Berndsen, Ron, 2020. "Five Fundamental Questions on Central Counterparties," Discussion Paper 2020-028, Tilburg University, Center for Economic Research.
    2. Vincent Bignon & Guillaume Vuillemey, 2020. "The Failure of a Clearinghouse: Empirical Evidence [Counterparty risk externality: centralized versus over-the-counter markets]," Review of Finance, European Finance Association, vol. 24(1), pages 99-128.
    3. Marco Moscadelli, 2004. "The modelling of operational risk: experience with the analysis of the data collected by the Basel Committee," Temi di discussione (Economic working papers) 517, Bank of Italy, Economic Research and International Relations Area.
    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. Bardoscia, Marco & Ferrara, Gerardo & Vause, Nicholas & Yoganayagam, Michael, 2021. "Simulating liquidity stress in the derivatives market," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    2. Bardoscia, Marco & Caccioli, Fabio & Gao, Haotian, 2022. "Efficiency of central clearing under liquidity stress," Bank of England working papers 1002, Bank of England.
    3. 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. Bardoscia, Marco & Caccioli, Fabio & Gao, Haotian, 2022. "Efficiency of central clearing under liquidity stress," Bank of England working papers 1002, Bank of England.
    2. Ron Berndsen, 2021. "Fundamental questions on central counterparties: A review of the literature," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(12), pages 2009-2022, December.
    3. Stefan Mittnik & Sandra Paterlini & Tina Yener, 2011. "Operational–risk Dependencies and the Determination of Risk Capital," Center for Economic Research (RECent) 070, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    4. Wenqian Huang, 2019. "Central counterparty capitalization and misaligned incentives," BIS Working Papers 767, Bank for International Settlements.
    5. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
    6. Ojo, Marianne, 2007. "The role of the external auditor in bank regulation and supervision: A comparative analysis between the UK, Germany, Italy and the US," MPRA Paper 32614, University Library of Munich, Germany, revised Jan 2008.
    7. Hamed Amini & Maxim Bichuch & Zachary Feinstein, 2021. "Decentralized Payment Clearing using Blockchain and Optimal Bidding," Papers 2109.00446, arXiv.org, revised Jan 2022.
    8. Robert Jarrow & Jeff Oxman & Yildiray Yildirim, 2010. "The cost of operational risk loss insurance," Review of Derivatives Research, Springer, vol. 13(3), pages 273-295, October.
    9. Inaki Aldasoro & Luitgard A M Veraart, 2022. "Systemic Risk in Markets with Multiple Central Counterparties," BIS Working Papers 1052, Bank for International Settlements.
    10. 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.
    11. Eckert, Christian & Gatzert, Nadine, 2017. "Modeling operational risk incorporating reputation risk: An integrated analysis for financial firms," Insurance: Mathematics and Economics, Elsevier, vol. 72(C), pages 122-137.
    12. Alina Mihaela Dima, 2009. "Operational Risk Assesement Tools for Quality Management in Banking Services," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 11(26), pages 364-372, June.
    13. Milan Stehlík & Rastislav Potocký & Helmut Waldl & Zdeněk Fabián, 2010. "On the favorable estimation for fitting heavy tailed data," Computational Statistics, Springer, vol. 25(3), pages 485-503, September.
    14. Antinolfi, Gaetano & Carapella, Francesca & Carli, Francesco, 2022. "Transparency and collateral: central versus bilateral clearing," Theoretical Economics, Econometric Society, vol. 17(1), January.
    15. Dominik D. Lambrigger & Pavel V. Shevchenko & Mario V. Wuthrich, 2009. "The Quantification of Operational Risk using Internal Data, Relevant External Data and Expert Opinions," Papers 0904.1361, arXiv.org.
    16. J. Christopher Westland, 2015. "Economics of eBay’s buyer protection plan," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 1(1), pages 1-20, December.
    17. Steven Kou & Xianhua Peng, 2016. "On the Measurement of Economic Tail Risk," Operations Research, INFORMS, vol. 64(5), pages 1056-1072, October.
    18. Robert Jarrow, 2017. "Operational Risk," World Scientific Book Chapters, in: THE ECONOMIC FOUNDATIONS OF RISK MANAGEMENT Theory, Practice, and Applications, chapter 8, pages 69-70, World Scientific Publishing Co. Pte. Ltd..
    19. S�verine Plunus & Georges Hübner & Jean-Philippe Peters, 2012. "Measuring operational risk in financial institutions," Applied Financial Economics, Taylor & Francis Journals, vol. 22(18), pages 1553-1569, September.
    20. Ikefuji, Masako & Laeven, Roger J.A. & Magnus, Jan R. & Muris, Chris, 2020. "Expected utility and catastrophic risk in a stochastic economy–climate model," Journal of Econometrics, Elsevier, vol. 214(1), pages 110-129.

    More about this item

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General

    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:tiu:tiutis:39f37d9b-7b60-4d46-9608-dc8fc24410ae. 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: Richard Broekman (email available below). General contact details of provider: https://www.tilburguniversity.edu/about/schools/economics-and-management/ .

    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.