IDEAS home Printed from https://ideas.repec.org/p/boe/boeewp/0726.html
   My bibliography  Save this paper

Multiplex network analysis of the UK OTC derivatives market

Author

Listed:
  • Bardoscia, Marco

    (Bank of England)

  • Bianconi, Ginestra

    (School of Mathematical Sciences, Queen Mary University of London)

  • Ferrara, Gerardo

    (The Alan Turing Institute)

Abstract

In this paper, we analyse the network of exposures constructed by using the UK trade repository data for three different categories of contracts: interest rate, credit, and foreign exchange derivatives. We study how liquidity shocks related to variation margins propagate across the network and translate into payment deficiencies across different derivative markets. A key finding of the paper is that, in extreme theoretical scenarios where liquidity buffers are small, a handful of institutions may experience significant spillover effects due to the directionality of their portfolios. Additionally, we show that two novel multiplex centrality measures, the Functional Multiplex Eigenvector Centrality and the Functional Multiplex PageRank, can be used as a proxy for the vulnerability of financial institutions, with the Functional Multiplex PageRank improving on the results that can be obtained using the Functional Multiplex Eigenvector Centrality.

Suggested Citation

  • Bardoscia, Marco & Bianconi, Ginestra & Ferrara, Gerardo, 2018. "Multiplex network analysis of the UK OTC derivatives market," Bank of England working papers 726, Bank of England, revised 10 Sep 2019.
    • Handle: RePEc:boe:boeewp:0726
    as

    Download full text from publisher

    File URL: https://www.bankofengland.co.uk/-/media/boe/files/working-paper/2018/multiplex-network-analysis-of-the-uk-otc-derivatives-market.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. 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).
    2. Di Gangi, Domenico & Lazarov, Vladimir & Mankodi, Aakash & Silvestri, Laura, 2022. "Links between government bond and futures markets: dealer-client relationships and price discovery in the UK," Bank of England working papers 991, Bank of England.
    3. Seabrook, Isobel & Barucca, Paolo & Caccioli, Fabio, 2022. "Structural importance and evolution: an application to financial transaction networks," LSE Research Online Documents on Economics 117130, London School of Economics and Political Science, LSE Library.
    4. Seabrook, Isobel & Barucca, Paolo & Caccioli, Fabio, 2022. "Structural importance and evolution: An application to financial transaction networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    5. Farmer, J Doyne & Kleinnijenhuis, Alissa M & Nahai-Williamson, Paul & Wetzer, Thom, 2020. "Foundations of system-wide financial stress testing with heterogeneous institutions," Bank of England working papers 861, Bank of England.
    6. Rosati, Simonetta & Vacirca, Francesco, 2019. "Interdependencies in the euro area derivatives clearing network: a multi-layer network approach," Working Paper Series 2342, European Central Bank.
    7. Wiersema, Garbrand & Kleinnijenhuis, Alissa M. & Wetzer, Thom & Farmer, J. Doyne, 2023. "Scenario-free analysis of financial stability with interacting contagion channels," Journal of Banking & Finance, Elsevier, vol. 146(C).
    8. HORIKAWA Takumi & MATSUI Yujiro & GEMMA Yasufumi, 2021. "A Network Analysis of the JGB Repo Market," Bank of Japan Working Paper Series 21-E-14, Bank of Japan.

    More about this item

    Keywords

    Liquidity shock; multiplex networks; systemic risk; financial networks; central counterparty (CCP);
    All these keywords.

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • G01 - Financial Economics - - General - - - Financial Crises
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:boe:boeewp:0726. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Digital Media Team (email available below). General contact details of provider: https://edirc.repec.org/data/boegvuk.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.