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Simulating liquidity stress in the derivatives market

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  • Bardoscia, Marco
  • Ferrara, Gerardo
  • Vause, Nicholas
  • Yoganayagam, Michael

Abstract

We investigate whether margin calls on derivative counterparties could exceed their available liquid assets and, by preventing immediate payment of those calls, spread such liquidity shortfalls through the market. Using trade repository data on derivative portfolios, we simulate variation margin calls in a stress scenario and compare them with the cash buffers of the institutions facing the calls. Where buffers are insufficient we assume institutions take remedial action such as borrowing to cover the shortfalls, but only after waiting as long as possible to receive payments before making their own. Such delays can force recipients into more extensive remedial action than otherwise. Hence, liquidity shortfalls can grow in aggregate as they spread through the network. However, we find an aggregate liquidity shortfall equivalent to only a modest fraction of average daily cash borrowing in international repo markets. Moreover, we find that only a small part of this aggregate shortfall could be avoided if payments within the counterparty network were coordinated by an external authority.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:dyncon:v:133:y:2021:i:c:s0165188921001500
    DOI: 10.1016/j.jedc.2021.104215
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    Cited by:

    1. Czech, Robert & Huang, Shiyang & Lou, Dong & Wang, Tianyu, 2021. "An unintended consequence of holding dollar assets," Bank of England working papers 953, Bank of England.
    2. Scheicher, Martin, 2023. "Intermediation in US and EU bond and swap markets: stylised facts, trends and impact of the coronavirus (COVID-19) crisis in March 2020," ESRB Occasional Paper Series 24, European Systemic Risk Board.
    3. Zema, Sebastiano Michele, 2022. "Uncovering the network structure of non-centrally cleared derivative markets: evidences from regulatory data," Working Paper Series 2721, European Central Bank.
    4. Sebastiano Michele Zema, 2023. "Uncovering the network structure of non-centrally cleared derivative markets: evidence from large regulatory data," Empirical Economics, Springer, vol. 65(4), pages 1799-1822, October.
    5. Ghio, Maddalena & Rousová, Linda & Salakhova, Dilyara & Bauer, Germán Villegas, 2023. "Derivative margin calls: a new driver of MMF flows," Working Paper Series 2800, European Central Bank.
    6. Cesa-Bianchi, Ambrogio & Eguren-Martin, Fernando, 2021. "Dash for dollars," Bank of England working papers 932, Bank of England.
    7. Jukonis, Audrius & Letizia, Elisa & Rousová, Linda, 2022. "The impact of derivatives collateralisation on liquidity risk: evidence from the investment fund sector," Working Paper Series 2756, European Central Bank.
    8. David Aikman & Daniel Beale & Adam Brinley-Codd & Anne-Caroline Hüser & Giovanni Covi & Caterina Lepore, 2023. "Macro-Prudential Stress Test Models: A Survey," IMF Working Papers 2023/173, International Monetary Fund.
    9. 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.
    10. Bardoscia, Marco & Caccioli, Fabio & Gao, Haotian, 2022. "Efficiency of central clearing under liquidity stress," Bank of England working papers 1002, Bank of England.

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    More about this item

    Keywords

    Financial networks; Systemic risk; Derivatives; Central counterparties;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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