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Multiplex network analysis of the UK over‐the‐counter derivatives market

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  • Marco Bardoscia
  • Ginestra Bianconi
  • Gerardo Ferrara

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

  • Marco Bardoscia & Ginestra Bianconi & Gerardo Ferrara, 2019. "Multiplex network analysis of the UK over‐the‐counter derivatives market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 1520-1544, October.
    • Handle: RePEc:wly:ijfiec:v:24:y:2019:i:4:p:1520-1544
    DOI: 10.1002/ijfe.1745
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    References listed on IDEAS

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    Cited by:

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    2. Seabrook, Isobel E. & Barucca, Paolo & Caccioli, Fabio, 2021. "Evaluating structural edge importance in temporal networks," LSE Research Online Documents on Economics 112515, London School of Economics and Political Science, LSE Library.
    3. Wang, Gang-Jin & Wan, Li & Feng, Yusen & Xie, Chi & Uddin, Gazi Salah & Zhu, You, 2023. "Interconnected multilayer networks: Quantifying connectedness among global stock and foreign exchange markets," International Review of Financial Analysis, Elsevier, vol. 86(C).
    4. 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.
    5. 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.
    6. 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.
    7. 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).
    8. Hector Tzavellas, 2023. "A Multilayer View Of Systemic Importance And Aggregate Fluctuations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1023-1046, August.
    9. David M. Gould & Dror Y. Kenett & Georgi Panterov, 2021. "Multi‐dimensional economic connectivity: benefits, risks, and policy implications," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6110-6127, October.
    10. 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.
    11. Jiang, Cheng & Sun, Qian & Ye, Tanglin & Wang, Qingyun, 2023. "Identification of systemically important financial institutions in a multiplex financial network: A multi-attribute decision-based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).
    12. 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.

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