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Central clearing and risk transformation

Author

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  • Rama Cont

    (Imperial College London)

Abstract

The clearing of over-the-counter transactions through central counterparties (CCPs), one of the pillars of financial reform following the crisis of 2007-2008, has promoted CCPs as key elements of the new global financial architecture. It is important to examine how these reforms have affected risks in the financial system and whether central clearing has attained the initial objective of the reform, which is to enhance financial stability and reduce systemic risk. We show that, rather than eliminating counterparty risk, central clearing transforms it into liquidity risk: margin calls transform accounting losses into realised losses which affect the liquidity buffers of clearing members. Accordingly, initial margin and default fund calculations should account for this liquidity risk in a realistic manner, especially for large positions. While recent discussions have centred on the solvency of CCPs, their capital and 'skin-in-the-game' and capital requirements for CCP exposures of banks, we argue that these issues are secondary and that the main focus of risk management and financial stability analysis should be on the liquidity of clearing members and the liquidity resources of CCPs. Clearing members should assess their exposure to CCPs in terms of liquidity, rather than counterparty risk. Stress tests involving CCPs should focus on liquidity stress testing and adequacy of liquidity resources.

Suggested Citation

  • Rama Cont, 2017. "Central clearing and risk transformation," Working Paper 2017/3, Norges Bank.
  • Handle: RePEc:bno:worpap:2017_03
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    File URL: http://www.norges-bank.no/en/Published/Papers/Working-Papers/2017/32017/
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    Citations

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    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. Akari, Mohamed-Ali & Ben-Abdallah, Ramzi & Breton, Michèle & Dionne, Georges, 2021. "The impact of central clearing on the market for single-name credit default swaps," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    3. Cont, Rama & Kotlicki, Artur & Valderrama, Laura, 2020. "Liquidity at risk: Joint stress testing of solvency and liquidity," Journal of Banking & Finance, Elsevier, vol. 118(C).
    4. Wang, Hu & Li, Shouwei, 2020. "Risk contagion in multilayer network of financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    5. Váradi, Kata & Ladoniczki, Sára Kata, 2018. "Elszámolóházak alapbiztosítéki követelményeinek számítási módszertana [Numerical methodology in the basic insurance requirements of clearing houses]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 780-809.
    6. Simona Malovaná & Josef Bajzík & Dominika Ehrenbergerová & Jan Janků, 2023. "A prolonged period of low interest rates in Europe: Unintended consequences," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 526-572, April.
    7. Inaki Aldasoro & Luitgard A M Veraart, 2022. "Systemic Risk in Markets with Multiple Central Counterparties," BIS Working Papers 1052, Bank for International Settlements.
    8. Grothe, Magdalena & Pancost, N. Aaron & Tompaidis, Stathis, 2023. "Collateral competition: Evidence from central counterparties," Journal of Financial Economics, Elsevier, vol. 149(3), pages 536-556.

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