IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v67y2021i6p3596-3617.html
   My bibliography  Save this article

Central Counterparty Exposure in Stressed Markets

Author

Listed:
  • Wenqian Huang

    (Bank for International Settlements, 4051 Basel, Switzerland)

  • Albert J. Menkveld

    (School of Business and Economics, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, Netherlands; Tinbergen Institute, 1082 MS Amsterdam, Netherlands)

  • Shihao Yu

    (School of Business and Economics, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, Netherlands)

Abstract

Time is valuable, particularly in stressed markets. Because central counterparties (CCPs) have become systemically important, we need to understand the dynamics of their exposure toward clearing members at high frequencies. We track such exposure and decompose it, yielding the following insights. The composition of CCP exposure is fundamentally different in the tails. At extreme levels or during rapid increases, there is elevated crowding. This is the result of clearing members all concentrating their positions on a single security or a particular portfolio, which is desirable if motivated by hedging but worrying if due to speculation.

Suggested Citation

  • Wenqian Huang & Albert J. Menkveld & Shihao Yu, 2021. "Central Counterparty Exposure in Stressed Markets," Management Science, INFORMS, vol. 67(6), pages 3596-3617, June.
  • Handle: RePEc:inm:ormnsc:v:67:y:2021:i:6:p:3596-3617
    DOI: 10.1287/mnsc.2020.3601
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.2020.3601
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.2020.3601?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bertrand Candelon & Mr. Amadou N Sy & Mr. Rabah Arezki, 2011. "Sovereign Rating News and Financial Markets Spillovers: Evidence from the European Debt Crisis," IMF Working Papers 2011/068, International Monetary Fund.
    2. Jeremy C. Stein, 2009. "Presidential Address: Sophisticated Investors and Market Efficiency," Journal of Finance, American Finance Association, vol. 64(4), pages 1517-1548, August.
    3. Loon, Yee Cheng & Zhong, Zhaodong (Ken), 2016. "Does Dodd-Frank affect OTC transaction costs and liquidity? Evidence from real-time CDS trade reports," Journal of Financial Economics, Elsevier, vol. 119(3), pages 645-672.
    4. 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.
    5. Hasbrouck, Joel, 1995. "One Security, Many Markets: Determining the Contributions to Price Discovery," Journal of Finance, American Finance Association, vol. 50(4), pages 1175-1199, September.
    6. Vincent Bignon & Guillaume Vuillemey, 2020. "The Failure of a Clearinghouse: Empirical Evidence [Counterparty risk externality: centralized versus over-the-counter markets]," Review of Finance, European Finance Association, vol. 24(1), pages 99-128.
    7. Paul Glasserman & Ciamac C. Moallemi & Kai Yuan, 2015. "Hidden Illiquidity with Multiple Central Counterparties," Working Papers 15-07, Office of Financial Research, US Department of the Treasury.
    8. Robert A. Jones & Christophe Pérignon, 2013. "Derivatives Clearing, Default Risk, and Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(2), pages 373-400, June.
    9. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2003. "Modeling and Forecasting Realized Volatility," Econometrica, Econometric Society, vol. 71(2), pages 579-625, March.
    10. Albert J Menkveld, 2017. "Crowded Positions: An Overlooked Systemic Risk for Central Clearing Parties," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 7(2), pages 209-242.
    11. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    12. Khandani, Amir E. & Lo, Andrew W., 2011. "What happened to the quants in August 2007? Evidence from factors and transactions data," Journal of Financial Markets, Elsevier, vol. 14(1), pages 1-46, February.
    13. Acharya, Viral & Bisin, Alberto, 2014. "Counterparty risk externality: Centralized versus over-the-counter markets," Journal of Economic Theory, Elsevier, vol. 149(C), pages 153-182.
    14. Loon, Yee Cheng & Zhong, Zhaodong Ken, 2014. "The impact of central clearing on counterparty risk, liquidity, and trading: Evidence from the credit default swap market," Journal of Financial Economics, Elsevier, vol. 112(1), pages 91-115.
    15. Duffie, Darrell & Scheicher, Martin & Vuillemey, Guillaume, 2015. "Central clearing and collateral demand," Journal of Financial Economics, Elsevier, vol. 116(2), pages 237-256.
    16. Hamed Amini & Damir Filipović & Andreea Minca, 2020. "Systemic Risk in Networks with a Central Node," Swiss Finance Institute Research Paper Series 20-04, Swiss Finance Institute.
    17. Gromb, Denis & Vayanos, Dimitri, 2002. "Equilibrium and welfare in markets with financially constrained arbitrageurs," Journal of Financial Economics, Elsevier, vol. 66(2-3), pages 361-407.
    18. Benos, Evangelos & Payne, Richard & Vasios, Michalis, 2020. "Centralized Trading, Transparency, and Interest Rate Swap Market Liquidity: Evidence from the Implementation of the Dodd–Frank Act," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(1), pages 159-192, February.
    19. Paul Glasserman & Ciamac C. Moallemi & Kai Yuan, 2016. "Hidden Illiquidity with Multiple Central Counterparties," Operations Research, INFORMS, vol. 64(5), pages 1143-1158, October.
    20. Bhanot, Karan & Burns, Natasha & Hunter, Delroy & Williams, Michael, 2014. "News spillovers from the Greek debt crisis: Impact on the Eurozone financial sector," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 51-63.
    21. David Easley & Marcos M. López de Prado & Maureen O'Hara, 2012. "Flow Toxicity and Liquidity in a High-frequency World," The Review of Financial Studies, Society for Financial Studies, vol. 25(5), pages 1457-1493.
    22. Jones, Charles M. & Kaul, Gautam & Lipson, Marc L., 1994. "Information, trading, and volatility," Journal of Financial Economics, Elsevier, vol. 36(1), pages 127-154, August.
    23. Bruno Biais & Florian Heider & Marie Hoerova, 2016. "Risk-Sharing or Risk-Taking? Counterparty Risk, Incentives, and Margins," Journal of Finance, American Finance Association, vol. 71(4), pages 1669-1698, August.
    24. Beetsma, Roel & Giuliodori, Massimo & de Jong, Frank & Widijanto, Daniel, 2013. "Spread the news: The impact of news on the European sovereign bond markets during the crisis," Journal of International Money and Finance, Elsevier, vol. 34(C), pages 83-101.
    25. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-155, January.
    26. Wolf Wagner, 2011. "Systemic Liquidation Risk and the Diversity–Diversification Trade‐Off," Journal of Finance, American Finance Association, vol. 66(4), pages 1141-1175, August.
    27. Mink, Mark & de Haan, Jakob, 2013. "Contagion during the Greek sovereign debt crisis," Journal of International Money and Finance, Elsevier, vol. 34(C), pages 102-113.
    28. Koeppl, Thorsten & Monnet, Cyril & Temzelides, Ted, 2012. "Optimal clearing arrangements for financial trades," Journal of Financial Economics, Elsevier, vol. 103(1), pages 189-203.
    29. Wenqian Huang, 2019. "Central counterparty capitalization and misaligned incentives," BIS Working Papers 767, Bank for International Settlements.
    30. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    31. Hansen, Peter R. & Lunde, Asger, 2006. "Realized Variance and Market Microstructure Noise," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 127-161, April.
    32. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    33. Agostino Capponi & W. Allen Cheng & Sriram Rajan, 2015. "Systemic Risk: The Dynamics under Central Clearing," Working Papers 15-08, Office of Financial Research, US Department of the Treasury.
    34. Hamed AMINI & Damir FILIPOVIC & Andreea MINCA, 2014. "To Fully Net or Not to Net: Adverse Effects of Partial Multilateral Netting," Swiss Finance Institute Research Paper Series 14-63, Swiss Finance Institute, revised Jun 2015.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Christian Kubitza & Loriana Pelizzon & Mila Getmansky Sherman, 2024. "Loss Sharing in Central Clearinghouses: Winners and Losers," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 14(2), pages 237-273.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Berndsen, Ron, 2020. "Five Fundamental Questions on Central Counterparties," Other publications TiSEM 1f3bd844-92ab-4104-8f57-9, Tilburg University, School of Economics and Management.
    2. Capponi, Agostino & Cheng, Wan-Schwin Allen & Giglio, Stefano & Haynes, Richard, 2022. "The collateral rule: Evidence from the credit default swap market," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 58-86.
    3. Corradin, Stefano & Heider, Florian & Hoerova, Marie, 2017. "On collateral: implications for financial stability and monetary policy," Working Paper Series 2107, European Central Bank.
    4. Vuillemey, Guillaume, 2023. "Mitigating fire sales with a central clearing counterparty," Journal of Financial Intermediation, Elsevier, vol. 55(C).
    5. 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).
    6. Cenedese, Gino & Ranaldo, Angelo & Vasios, Michalis, 2020. "OTC premia," Journal of Financial Economics, Elsevier, vol. 136(1), pages 86-105.
    7. Massimiliano Affinito & Matteo Piazza, 2021. "Always Look on the Bright Side? Central Counterparties and Interbank Markets during the Financial Crisis," International Journal of Central Banking, International Journal of Central Banking, vol. 17(1), pages 231-283, March.
    8. Christian Kubitza & Loriana Pelizzon & Mila Getmansky Sherman, 2024. "Loss Sharing in Central Clearinghouses: Winners and Losers," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 14(2), pages 237-273.
    9. Christoph Aymanns & J. Doyne Farmer & Alissa M. Keinniejenhuis & Thom Wetzer, 2017. "Models of Financial Stability and their Application in Stress Tests," Working Papers on Finance 1805, University of St. Gallen, School of Finance.
    10. González-Urteaga, Ana & Rubio, Gonzalo, 2022. "Guarantee requirements by European central counterparties and international volatility spillovers," Research in International Business and Finance, Elsevier, vol. 62(C).
    11. Konstantinos Gkillas & Dimitrios Vortelinos & Christos Floros & Alexandros Garefalakis & Nikolaos Sariannidis, 2020. "Greek sovereign crisis and European exchange rates: effects of news releases and their providers," Annals of Operations Research, Springer, vol. 294(1), pages 515-536, November.
    12. Augustin, Patrick & Subrahmanyam, Marti G. & Tang, Dragon Yongjun & Wang, Sarah Qian, 2014. "Credit Default Swaps: A Survey," Foundations and Trends(R) in Finance, now publishers, vol. 9(1-2), pages 1-196, December.
    13. Ron Berndsen, 2021. "Fundamental questions on central counterparties: A review of the literature," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(12), pages 2009-2022, December.
    14. Cucic, Dominic, 2022. "Central clearing and loss allocation rules," Journal of Financial Markets, Elsevier, vol. 59(PA).
    15. Bruno Biais & Florian Heider & Marie Hoerova, 2021. "Variation Margins, Fire Sales, and Information-constrained Optimality [Leverage, Moral Hazard, and Liquidity]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(6), pages 2654-2686.
    16. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2013. "Financial Risk Measurement for Financial Risk Management," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1127-1220, Elsevier.
    17. Wang, Xinjie & Wu, Yangru & Yan, Hongjun & Zhong, Zhaodong (Ken), 2021. "Funding liquidity shocks in a quasi-experiment: Evidence from the CDS Big Bang," Journal of Financial Economics, Elsevier, vol. 139(2), pages 545-560.
    18. Injun Hwang & Baeho Kim, 2020. "Heterogeneity and netting efficiency under central clearing: A stochastic network analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(2), pages 192-208, February.
    19. Injun Hwang & Baeho Kim, 2022. "A systemic change of measure from central clearing," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(9), pages 1738-1754, September.
    20. Vincent Bignon & Guillaume Vuillemey, 2020. "The Failure of a Clearinghouse: Empirical Evidence [Counterparty risk externality: centralized versus over-the-counter markets]," Review of Finance, European Finance Association, vol. 24(1), pages 99-128.

    More about this item

    Keywords

    central counterparties (CCPs); crowding risk; market stress;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormnsc:v:67:y:2021:i:6:p:3596-3617. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.