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Crowded Positions: An Overlooked Systemic Risk for Central Clearing Parties

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  • Albert J Menkveld

Abstract

Counterparty risk could hamper trade and worsen a financial crisis. A central clearing party (CCP) insures traders against counterparty default and thus benefits trade. Default of the CCP however becomes a new systemic risk. CCP risk management does not account for risks associated with crowded positions. This paper proposes a CCP exposure measure based on tail risk in trader portfolios. It identifies and measures crowded risk and assigns it to traders according to the polluter pays principle. CCP data show that crowded positions increase CCP exposure most (about one-third) on turbulent days, when exposure is high already.Received October 08, 2016; editorial decision March 13, 2017 by Editor Wayne Ferson

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  • 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.
    • Handle: RePEc:oup:rasset:v:7:y:2017:i:2:p:209-242.
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    Cited by:

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    3. Radoslav Raykov, 2021. "Systemic Risk and Portfolio Diversification: Evidence from the Futures Market," Staff Working Papers 21-50, Bank of Canada.
    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. Viral V. Acharya & Aaditya M. Iyer & Rangarajan K. Sundaram, 2020. "Risk-Sharing and the Creation of Systemic Risk," JRFM, MDPI, vol. 13(8), pages 1-38, August.
    6. Cenedese, Gino & Ranaldo, Angelo & Vasios, Michalis, 2020. "OTC premia," Journal of Financial Economics, Elsevier, vol. 136(1), pages 86-105.
    7. Berndsen, Ron, 2020. "Five Fundamental Questions on Central Counterparties," Other publications TiSEM 1f3bd844-92ab-4104-8f57-9, Tilburg University, School of Economics and Management.
    8. Mariana Khapko & Marius Zoican, 2020. "How Fast Should Trades Settle?," Management Science, INFORMS, vol. 66(10), pages 4573-4593, October.
    9. Mark Paddrik & H. Peyton Young, 2021. "Assessing the Safety of Central Counterparties," Working Papers 21-02, Office of Financial Research, US Department of the Treasury.
    10. 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.
    11. Radoslav Raykov, 2024. "Is This Normal? The Cost of Assuming that Derivatives Have Normal Returns," Staff Working Papers 24-46, Bank of Canada.
    12. 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.
    13. Cucic, Dominic, 2022. "Central clearing and loss allocation rules," Journal of Financial Markets, Elsevier, vol. 59(PA).
    14. Evangelos Benos & Wenqian Huang & Albert Menkveld & Michalis Vasios, 2024. "The Cost of Clearing Fragmentation," Management Science, INFORMS, vol. 70(6), pages 3581-3596, June.
    15. 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.
    16. Radoslav Raykov, 2024. "Decomposing Large Banks’ Systemic Trading Losses," Staff Working Papers 24-6, Bank of Canada.
    17. 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).
    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. 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.
    20. Wenqian Huang & Albert J. Menkveld & Shihao Yu, 2021. "Central Counterparty Exposure in Stressed Markets," Management Science, INFORMS, vol. 67(6), pages 3596-3617, June.
    21. Stepan Gorban & Anna A. Obizhaeva & Yajun Wang, 2020. "Trading in Crowded Markets," Working Papers w0275, New Economic School (NES).

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