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A comparative analysis of tools to limit the procyclicality of initial margin requirements

Author

Listed:
  • David Murphy

    (Bank of England)

  • Michalis Vasios

    (Bank of England)

  • Nicholas Vause

    (Bank of England)

Abstract

The requirement to post initial margin on derivatives transactions is a key feature of the post-crisis reforms of the OTC derivatives markets. Initial margin requirements are usually determined by risk-based models. These models typically require increased margin in stressed conditions: they are procyclical. This procyclicality causes a liquidity burden on market participants which sometimes falls when they are least able to bear it. In this paper we study a variety of tools which have been proposed to mitigate the procyclicality of initial margin requirements. Three of these tools are proposed in European regulation; the other two are new proposals which offer attractive procyclicality mitigation features. The behaviour of all five tools is studied in a simulation framework. We examine the extent to which each tool mitigates procyclicality, and at what cost in demanding unnecessary margin compared to a benchmark unmitigated model. Our findings indicate that all of the tools are useful in mitigating procyclicality to some extent, but that the optimal calibration of each tool in a particular situation depends on the relative weights placed by the modeller on the objectives of minimizing procyclicality on the one hand and minimizing undesirable overmargining in periods of low volatility on the other. This suggests that it may be appropriate to consider moving from tools-based procyclicality regulation to one based on the desired outcomes.

Suggested Citation

  • David Murphy & Michalis Vasios & Nicholas Vause, 2016. "A comparative analysis of tools to limit the procyclicality of initial margin requirements," Bank of England Staff Working Paper series 597, Bank of England.
  • Handle: RePEc:boe:boeewp:0597
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    References listed on IDEAS

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    1. David Murphy & Michalis Vasios & Nick Vause, 2014. "Financial Stability Paper No 29: An investigation into the procyclicality of risk-based initial margin models," Bank of England Financial Stability Papers 29, Bank of England.
    2. Markus K. Brunnermeier & Lasse Heje Pedersen, 2009. "Market Liquidity and Funding Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2201-2238, June.
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    Citations

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    Cited by:

    1. Corradin, Stefano & Heider, Florian & Hoerova, Marie, 2017. "On collateral: implications for financial stability and monetary policy," Working Paper Series 2107, European Central Bank.
    2. 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.
    3. Bakoush, Mohamed & Gerding, Enrico H. & Wolfe, Simon, 2019. "Margin requirements and systemic liquidity risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 78-95.
    4. Carlos Castro-Iragorri & Fabio Gómez & Nancy Quiceno, 2024. "Worst-Case Higher Moment Risk Measure: Addressing Distributional Shifts and Procyclicality," Documentos de Trabajo 21048, Universidad del Rosario.
    5. Berlinger, Edina & Dömötör, Barbara & Illés, Ferenc, 2019. "Anti-cyclical versus risk-sensitive margin strategies in central clearing," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 117-131.
    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.
    7. 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.
    8. Berlinger, Edina & Bihary, Zsolt & Dömötör, Barbara, 2024. "Dynamic margin optimization," Finance Research Letters, Elsevier, vol. 68(C).
    9. Castro-Iragorri, Carlos & Gómez, Fabio & Quiceno, Nancy, 2024. "Worst-case higher moment risk measure: Addressing distributional shifts and procyclicality," Finance Research Letters, Elsevier, vol. 65(C).
    10. 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.
    11. Paul Glasserman & Qi Wu, 2017. "Persistence and Procyclicality in Margin Requirements," Working Papers 17-01, Office of Financial Research, US Department of the Treasury.
    12. Friesz, Melinda & Váradi, Kata, 2023. "Your skin or mine: Ensuring the viability of a central counterparty," Emerging Markets Review, Elsevier, vol. 57(C).
    13. CHEN, Yuanyuan & WU, Qi & LI, Duan, 2023. "Counter-cyclical Margins for Option Portfolios," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    14. Paul Glasserman & Qi Wu, 2018. "Persistence and Procyclicality in Margin Requirements," Management Science, INFORMS, vol. 64(12), pages 5705-5724, December.
    15. Lannoo, Karel & Thomadakis, Apostolos, 2020. "Derivatives in Sustainable Finance," ECMI Papers 29791, Centre for European Policy Studies.
    16. David Murphy & Nicholas Vause, 2021. "A CBA of APC: analysing approaches to procyclicality reduction in CCP initial margin models," Bank of England Staff Working Paper series 950, Bank of England.
    17. 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.
    18. Elena Goldman & Xiangjin Shen, 2018. "Analysis of Asymmetric GARCH Volatility Models with Applications to Margin Measurement," Staff Working Papers 18-21, Bank of Canada.
    19. Chen, Yan & Yu, Wenqiang, 2020. "Setting the margins of Hang Seng Index Futures on different positions using an APARCH-GPD Model based on extreme value theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 544(C).
    20. Jin, YangKyu & Suh, Sangwon, 2024. "Procyclical variation margins in central clearing," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    21. Alexander, Carol & Kaeck, Andreas & Sumawong, Anannit, 2019. "A parsimonious parametric model for generating margin requirements for futures," European Journal of Operational Research, Elsevier, vol. 273(1), pages 31-43.

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    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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