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Managing risk in multi-asset class, multimarket central counterparties: The CORE approach

Author

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  • Vicente, L.A.B.G.
  • Cerezetti, F.V.
  • De Faria, S.R.
  • Iwashita, T.
  • Pereira, O.R.

Abstract

Multi-asset class, multimarket central counterparties (CCPs) are becoming less uncommon as a result of merges between specialized (single-asset class, single market) CCPs and market demands for greater capital efficiency. Yet, traditional CCP risk management models often lack the necessary sophistication to estimate potential losses relative to the closeout process of a defaulter’s portfolio in a multi-asset class, multimarket environment. As a result, multi-asset class, multimarket CCPs usually rely on a simplified silo approach for risk calculation which not only fails to deliver efficiency, but may also increase systemic risk. The CORE (Closeout Risk Evaluation) approach, on the other hand, provides conceptual and mathematical tools necessary for robust and efficient central counterparty risk evaluation in multi-asset class and multimarket environments, acknowledging the portfolio dynamics involved in the closeout process as well as important “real life” market frictions.

Suggested Citation

  • Vicente, L.A.B.G. & Cerezetti, F.V. & De Faria, S.R. & Iwashita, T. & Pereira, O.R., 2015. "Managing risk in multi-asset class, multimarket central counterparties: The CORE approach," Journal of Banking & Finance, Elsevier, vol. 51(C), pages 119-130.
  • Handle: RePEc:eee:jbfina:v:51:y:2015:i:c:p:119-130
    DOI: 10.1016/j.jbankfin.2014.08.016
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    References listed on IDEAS

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    Cited by:

    1. Dávid Zoltán Szabó & Kata Váradi, 2022. "Margin requirements based on a stochastic correlation model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1797-1820, October.
    2. Berndsen, Ron, 2020. "Five Fundamental Questions on Central Counterparties," Discussion Paper 2020-028, Tilburg University, Center for Economic Research.
    3. Friesz, Melinda & Váradi, Kata, 2023. "Your skin or mine: Ensuring the viability of a central counterparty," Emerging Markets Review, Elsevier, vol. 57(C).
    4. Dana Kiselakova & Jarmila Horvathova & Beata Sofrankova & Miroslava Soltes,, 2015. "Analysis Of Risks And Their Impact On Enterprise Performance By Creating Enterprise Risk Model," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 11(2), pages 50-61, June.
    5. 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.
    6. Tomasz R. Bielecki & Igor Cialenco & Shibi Feng, 2018. "A Dynamic Model of Central Counterparty Risk," Papers 1803.02012, arXiv.org.
    7. Berndsen, Ron, 2020. "Five Fundamental Questions on Central Counterparties," Other publications TiSEM 1f3bd844-92ab-4104-8f57-9, Tilburg University, School of Economics and Management.
    8. Tomasz R. Bielecki & Igor Cialenco & Shibi Feng, 2018. "A Dynamic Model Of Central Counterparty Risk," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 21(08), pages 1-34, December.
    9. 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.

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    More about this item

    Keywords

    Central counterparty; Risk management; Closeout risk; Liquidity risk; Market risk;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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