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Credit default swaps and systemic risk

Author

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  • Rama Cont

    (CNRS-Université Pierre & Marie Curie)

  • Andreea Minca

    (Cornell University)

Abstract

We present a network model for investigating the impact on systemic risk of central clearing of over the counter (OTC) credit default swaps (CDS). We model contingent cash flows resulting from CDS and other OTC derivatives by a multi-layered network with a core-periphery structure, which is flexible enough to reproduce the gross and net exposures as well as the heterogeneity of market shares of participating institutions. We analyze illiquidity cascades resulting from liquidity shocks and show that the contagion of illiquidity takes place along a sub-network constituted by links identified as ’critical receivables’. A key role is played by the long intermediation chains inherent to the structure of the OTC network, which may turn into chains of critical receivables. We calibrate our model to data representing net and gross OTC exposures of large dealer banks and use this model to investigate the impact of central clearing on network stability. We find that, when interest rate swaps are cleared, central clearing of credit default swaps through a well-capitalized CCP can reduce the probability and the magnitude of a systemic illiquidity spiral by reducing the length of the chains of critical receivables within the financial network. These benefits are reduced, however, if some large intermediaries are not included as clearing members.

Suggested Citation

  • Rama Cont & Andreea Minca, 2016. "Credit default swaps and systemic risk," Annals of Operations Research, Springer, vol. 247(2), pages 523-547, December.
  • Handle: RePEc:spr:annopr:v:247:y:2016:i:2:d:10.1007_s10479-015-1857-x
    DOI: 10.1007/s10479-015-1857-x
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    Cited by:

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    4. Mercadier, Mathieu & Lardy, Jean-Pierre, 2019. "Credit spread approximation and improvement using random forest regression," European Journal of Operational Research, Elsevier, vol. 277(1), pages 351-365.
    5. Mark Paddrik & H. Peyton Young, 2017. "How Safe are Central Counterparties in Derivatives Markets?," Working Papers 17-06, Office of Financial Research, US Department of the Treasury.
    6. Tathagata Banerjee & Zachary Feinstein, 2018. "Impact of Contingent Payments on Systemic Risk in Financial Networks," Papers 1805.08544, arXiv.org, revised Dec 2018.
    7. Giansante, Simone & Manfredi, Sabato & Markose, Sheri, 2023. "Fair immunization and network topology of complex financial ecosystems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 612(C).
    8. Silvia Crafa, 2021. "From agent-based modeling to actor-based reactive systems in the analysis of financial networks," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(3), pages 649-673, July.
    9. Paddrick, Mark & Rajan, Sriram & Young, H. Peyton, 2020. "Contagion in derivatives markets," LSE Research Online Documents on Economics 100868, London School of Economics and Political Science, LSE Library.
    10. Torri, Gabriele & Giacometti, Rosella & Paterlini, Sandra, 2018. "Robust and sparse banking network estimation," European Journal of Operational Research, Elsevier, vol. 270(1), pages 51-65.
    11. Bardoscia, Marco & Ferrara, Gerardo & Vause, Nicholas & Yoganayagam, Michael, 2021. "Simulating liquidity stress in the derivatives market," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    12. Mark Paddrik & Sriram Rajan & H. Peyton Young, 2020. "Contagion in Derivatives Markets," Management Science, INFORMS, vol. 66(8), pages 3603-3616, August.
    13. Berndsen, Ron, 2020. "Five Fundamental Questions on Central Counterparties," Other publications TiSEM 1f3bd844-92ab-4104-8f57-9, Tilburg University, School of Economics and Management.
    14. Fanelli, Viviana & Maddalena, Lucia, 2020. "A nonlinear dynamic model for credit risk contagion," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 174(C), pages 45-58.
    15. Marco Bardoscia & Paolo Barucca & Stefano Battiston & Fabio Caccioli & Giulio Cimini & Diego Garlaschelli & Fabio Saracco & Tiziano Squartini & Guido Caldarelli, 2021. "The Physics of Financial Networks," Papers 2103.05623, arXiv.org.
    16. Bardoscia, Marco & Caccioli, Fabio & Gao, Haotian, 2022. "Efficiency of central clearing under liquidity stress," Bank of England working papers 1002, Bank of England.
    17. Roy Cerqueti & Gian Paolo Clemente & Rosanna Grassi, 2018. "Systemic risk assessment through high order clustering coefficient," Papers 1810.13250, arXiv.org, revised Jul 2020.
    18. Wang, Hu & Li, Shouwei, 2020. "Risk contagion in multilayer network of financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
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    20. Ferrara, Gerardo & Kim, Jun Sung & Koo, Bonsoo & Liu, Zijun, 2021. "Counterparty choice in the UK credit default swap market: An empirical matching approach," Economic Modelling, Elsevier, vol. 94(C), pages 58-74.
    21. 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.
    22. Giacomo Morelli, 2021. "Fair prices under a unified lattice approach for interest rate derivatives," Annals of Operations Research, Springer, vol. 299(1), pages 429-441, April.
    23. Roy Cerqueti & Gian Paolo Clemente & Rosanna Grassi, 2021. "Systemic risk assessment through high order clustering coefficient," Annals of Operations Research, Springer, vol. 299(1), pages 1165-1187, April.
    24. Uribe, Jorge M. & Chuliá, Helena & Guillén, Montserrat, 2017. "Uncertainty, systemic shocks and the global banking sector: Has the crisis modified their relationship?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 52-68.
    25. Morteza Alaeddini & Philippe Madiès & Paul J. Reaidy & Julie Dugdale, 2023. "Interbank money market concerns and actors’ strategies—A systematic review of 21st century literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 573-654, April.

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