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Does central clearing reduce counterparty risk in realistic financial networks?

Author

Listed:
  • Rod Garratt
  • Peter Zimmerman
Abstract
Novating a single asset class to a central counterparty (CCP) in an over-the-counter derivatives trading network impacts both the mean and variance of total net exposures between counterparties. When a small number of dealers trade in a relatively large number of asset classes, central clearing increases the mean and variance of net exposures, which may lead to increased counterparty risk and higher margin needs. There are intermediate cases where there is a trade-off: The introduction of a CCP leads to an increase in expected net exposures but this increase is accompanied by a reduction in variance. We extend the work of Duffie and Zhu (2011) by considering general classes of network structures and focus on scale-free and core-periphery structures, which have been shown to be accurate models of real-world financial networks. We find that a CCP is unlikely to be beneficial when the link structure of the network relies on just a few key nodes. In particular, in large scale-free networks a CCP will always worsen expected netting efficiency. In such cases, CCPs can improve netting efficiency only if agents have some degree of risk aversion that allows them to trade off the reduced variance against the higher expected netted exposures. This may explain why, in the absence of regulation, traders in a derivatives network may not develop a CCP themselves.

Suggested Citation

  • Rod Garratt & Peter Zimmerman, 2015. "Does central clearing reduce counterparty risk in realistic financial networks?," Staff Reports 717, Federal Reserve Bank of New York.
    • Handle: RePEc:fip:fednsr:717
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    References listed on IDEAS

    as
    1. Wetherilt, Anne & Zimmerman, Peter & Soramaki, Kimmo, 2010. "The sterling unsecured loan market during 2006-08: insights from network theory," Bank of England working papers 398, Bank of England.
    2. Duffie, Darrell & Scheicher, Martin & Vuillemey, Guillaume, 2015. "Central clearing and collateral demand," Journal of Financial Economics, Elsevier, vol. 116(2), pages 237-256.
    3. Langfield, Sam & Liu, Zijun & Ota, Tomohiro, 2014. "Mapping the UK interbank system," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 288-303.
    4. Alexandra Heath & Gerard Kelly & Mark Manning, 2013. "OTC Derivatives Reform: Netting and Networks," RBA Annual Conference Volume (Discontinued), in: Alexandra Heath & Matthew Lilley & Mark Manning (ed.),Liquidity and Funding Markets, Reserve Bank of Australia.
    5. Stacey Anderson & Jean-Philippe Dion & Héctor Pérez Saiz, 2013. "To Link or Not To Link? Netting and Exposures Between Central Counterparties," Staff Working Papers 13-6, Bank of Canada.
    6. Murphy, David & Vasios, Michalis & Vause, Nick, 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.
    7. John P Jackson & Mark J Manning, 2007. "Comparing the pre-settlement risk implications of alternative clearing arrangements," Bank of England working papers 321, Bank of England.
    8. Hajime Inaoka & Takuto Ninomiya & Ken Taniguchi & Tokiko Shimizu & Hideki Takayasu, 2004. "Fractal Network derived from banking transaction -- An analysis of network structures formed by financial institutions --," Bank of Japan Working Paper Series 04-E-4, Bank of Japan.
    9. Ms. Sheri M. Markose, 2012. "Systemic Risk from Global Financial Derivatives: A Network Analysis of Contagion and Its Mitigation with Super-Spreader Tax," IMF Working Papers 2012/282, International Monetary Fund.
    10. Nathanael Cox & Nicholas Garvin & Gerard Kelly, 2013. "Central Counterparty Links and Clearing System Exposures," RBA Research Discussion Papers rdp2013-12, Reserve Bank of Australia.
    11. Darrell Duffie & Haoxiang Zhu, 2011. "Does a Central Clearing Counterparty Reduce Counterparty Risk?," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 1(1), pages 74-95.
    12. Sidanius, Che & Zikes, Filip, 2012. "Financial Stability Paper No 18: OTC derivatives reform and collateral demand impact," Bank of England Financial Stability Papers 18, Bank of England.
    13. Sean D. Campbell, 2014. "Estimating the Effect of Central Clearing on Credit Derivative Exposures," FEDS Notes 2014-02-26, Board of Governors of the Federal Reserve System (U.S.).
    14. Galbiati, Marco & Soramäki, Kimmo, 2012. "Clearing networks," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 609-626.
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    Citations

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    Cited by:

    1. Paddrick, Mark & Young, H. Peyton, 2021. "How safe are central counterparties in credit default swap markets?," LSE Research Online Documents on Economics 101170, London School of Economics and Political Science, LSE Library.
    2. Andrea Aguiar & Dror Y. Kenett & Richard Bookstaber & Thomas Wipf, 2016. "A Map of Collateral Uses and Flows," Working Papers 16-06, Office of Financial Research, US Department of the Treasury.
    3. Gaetano Antinolfi & Francesca Carapella & Francesco Carli, 2019. "Transparency and Collateral: The Design of CCPs' Loss Allocation Rules," Finance and Economics Discussion Series 2019-058, Board of Governors of the Federal Reserve System (U.S.).
    4. 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.
    5. Ricardo Mariño-Martínez & Carlos León & Carlos Cadena-Silva, 2020. "Las entidades de contrapartida central en la mitigación del riesgo de contraparte y de liquidez: El caso de los derivados cambiarios en Colombia," Borradores de Economia 1101, Banco de la Republica de Colombia.
    6. H Peyton Young & Mark Paddrik, 2019. "How Safe are Central Counterparties in Credit Default Swap Markets?," Economics Series Working Papers 885, University of Oxford, Department of Economics.
    7. Binbin Deng, 2017. "Counterparty risk, central counterparty clearing and aggregate risk," Annals of Finance, Springer, vol. 13(4), pages 355-400, November.
    8. Cucic, Dominic, 2022. "Central clearing and loss allocation rules," Journal of Financial Markets, Elsevier, vol. 59(PA).
    9. repec:ecb:ecbdps:20174 is not listed on IDEAS

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    More about this item

    Keywords

    central clearing; core-periphery network; scale-free network;
    All these keywords.

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    NEP fields

    This paper has been announced in the following NEP Reports:

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