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Central clearing of OTC derivatives: Bilateral vs multilateral netting

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  • Cont Rama

    (Department of Mathematics & Institute of Quantititive Finance, Imperial College, London SW8 2AZ, United Kingdom)

  • Kokholm Thomas

    (Department of Economics and Business, Aarhus University, Fuglesangs Allé 4, 8210 Aarhus, Denmark)

Abstract

We study the impact of central clearing of over-the-counter (OTC) transactions on counterparty exposures in a market with OTC transactions across several asset classes with heterogeneous characteristics. The impact of introducing a central counterparty (CCP) on expected interdealer exposure is determined by the tradeoff between multilateral netting across dealers on one hand and bilateral netting across asset classes on the other hand. We find this tradeoff to be sensitive to assumptions on heterogeneity of asset classes in terms of `riskyness' of the asset class as well as correlation of exposures across asset classes. In particular, while an analysis assuming independent, homogeneous exposures suggests that central clearing is efficient only if one has an unrealistically high number of participants, the opposite conclusion is reached if differences in riskyness and correlation across asset classes are realistically taken into account. We argue that empirically plausible specifications of model parameters lead to the conclusion that central clearing does reduce interdealer exposures: the gain from multilateral netting in a CCP overweighs the loss of netting across asset classes in bilateral netting agreements. When a CCP exists for interest rate derivatives, adding a CCP for credit derivatives is shown to decrease overall exposures. These findings are shown to be robust to the statistical assumptions of the model as well as the choice of risk measure used to quantify exposures.

Suggested Citation

  • Cont Rama & Kokholm Thomas, 2014. "Central clearing of OTC derivatives: Bilateral vs multilateral netting," Statistics & Risk Modeling, De Gruyter, vol. 31(1), pages 3-22, March.
  • Handle: RePEc:bpj:strimo:v:31:y:2014:i:1:p:20:n:1
    DOI: 10.1515/strm-2013-1161
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    References listed on IDEAS

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    1. Masaaki Fujii & Akihiko Takahashi, 2011. "Collateralized CDS and Default Dependence -Implications for the Central Clearing-," CIRJE F-Series CIRJE-F-799, CIRJE, Faculty of Economics, University of Tokyo.
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    8. Matthias Arnsdorf, 2012. "Central Counterparty Risk," Papers 1205.1533, arXiv.org.
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    Cited by:

    1. Shanuka Senarath & Pelma Rajapakse & Jan Job de Vries Robbé & Naveen Wickremeratne & Maduka Subasinghage, 2022. "Being Naked - et Quo hinc ?: Developing a ‘Skin-in-the-Game’ Solution for Credit Default Swaps," IJFS, MDPI, vol. 10(4), pages 1-14, October.
    2. Wenqian Huang & Elöd Takáts, 2024. "Model Risk at Central Counterparties: Is Skin in the Game a Game Changer?," International Journal of Central Banking, International Journal of Central Banking, vol. 20(3), pages 161-184, July.
    3. Wenqian Huang, 2019. "Central counterparty capitalization and misaligned incentives," BIS Working Papers 767, Bank for International Settlements.
    4. Kubitza, Christian & Pelizzon, Loriana & Getmansky, Mila, 2018. "The pitfalls of central clearing in the presence of systematic risk," ICIR Working Paper Series 31/18, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
    5. Thomas Richter, 2021. "Central Counterparties and Liquidity Provision in Cash Markets," JRFM, MDPI, vol. 14(12), pages 1-26, December.
    6. Hamed Amini & Zachary Feinstein, 2020. "Optimal Network Compression," Papers 2008.08733, arXiv.org, revised Jul 2022.
    7. Alexander von Felbert, 2015. "Network Structure and Counterparty Credit Risk," Papers 1504.06789, arXiv.org, revised Jul 2015.

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