[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/a/wly/ijfiec/v24y2019i4p1520-1544.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/ijfe.1745
    Download Restriction: no
    File URL: https://libkey.io/10.1002/ijfe.1745?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
    ---><---

    References listed on IDEAS

    as
    1. Marco Bardoscia & Stefano Battiston & Fabio Caccioli & Guido Caldarelli, 2016. "Pathways towards instability in financial networks," Papers 1602.05883, arXiv.org, revised Feb 2017.
    2. Poledna, Sebastian & Molina-Borboa, José Luis & Martínez-Jaramillo, Serafín & van der Leij, Marco & Thurner, Stefan, 2015. "The multi-layer network nature of systemic risk and its implications for the costs of financial crises," Journal of Financial Stability, Elsevier, vol. 20(C), pages 70-81.
    3. Heath, Alexandra & Kelly, Gerard & Manning, Mark & Markose, Sheri & Shaghaghi, Ali Rais, 2016. "CCPs and network stability in OTC derivatives markets," Journal of Financial Stability, Elsevier, vol. 27(C), pages 217-233.
    4. Berndsen, Ron J. & León, Carlos & Renneboog, Luc, 2018. "Financial stability in networks of financial institutions and market infrastructures," Journal of Financial Stability, Elsevier, vol. 35(C), pages 120-135.
    5. Adrian Alter & Ben R. Craig & Peter Raupach, 2015. "Centrality-Based Capital Allocations," International Journal of Central Banking, International Journal of Central Banking, vol. 11(3), pages 329-377, June.
    6. Fernando V. Cerezetti & Emmanouil N. Karimalis & Ujwal Shreyas & Anannit Sumawong, 2019. "Market liquidity, closeout procedures and initial margin for CCPs," The European Journal of Finance, Taylor & Francis Journals, vol. 25(7), pages 599-631, May.
    7. Ms. Yevgeniya Korniyenko & Manasa Patnam & Rita Maria del Rio-Chanon & Mason A. Porter, 2018. "Evolution of the Global Financial Network and Contagion: A New Approach," IMF Working Papers 2018/113, International Monetary Fund.
    8. Christoph Siebenbrunner, 2017. "Clearing algorithms and network centrality," Papers 1706.00284, arXiv.org.
    9. Jankowitsch, Rainer & Nashikkar, Amrut & Subrahmanyam, Marti G., 2011. "Price dispersion in OTC markets: A new measure of liquidity," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 343-357, February.
    10. Alfranseder, Emanuel & Fiedor, Paweł & Lapschies, Sarah & Orszaghova, Lucia & Sobolewski, Paweł, 2018. "Indicators for the monitoring of central counterparties in the EU," ESRB Occasional Paper Series 14, European Systemic Risk Board.
    11. L. Bargigli & G. di Iasio & L. Infante & F. Lillo & F. Pierobon, 2015. "The multiplex structure of interbank networks," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 673-691, April.
    12. Abad, Jorge & Aldasoro, Iñaki & Aymanns, Christoph & D'Errico, Marco & Hoffmann, Peter & Langfield, Sam & Neychev, Martin & Roukny, Tarik & Rousová, Linda, 2016. "Shedding light on dark markets: First insights from the new EU-wide OTC derivatives dataset," ESRB Occasional Paper Series 11, European Systemic Risk Board.
    13. Larry Eisenberg & Thomas H. Noe, 2001. "Systemic Risk in Financial Systems," Management Science, INFORMS, vol. 47(2), pages 236-249, February.
    14. Marco Bardoscia & Stefano Battiston & Fabio Caccioli & Guido Caldarelli, 2017. "Pathways towards instability in financial networks," Nature Communications, Nature, vol. 8(1), pages 1-7, April.
    15. Marco Bardoscia & Stefano Battiston & Fabio Caccioli & Guido Caldarelli, 2015. "DebtRank: A Microscopic Foundation for Shock Propagation," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-13, June.
    16. H Peyton Young & Mark Paddrik, 2017. "How Safe are Central Counterparties in Derivatives Markets?," Economics Series Working Papers 826, University of Oxford, Department of Economics.
    17. Gould,David Michael & Kenett,Dror Yossef & Panterov,Georgi Lyudmilov, 2018. "Multidimensional connectivity : benefits, risks, and policy implications for Europe and Central Asia," Policy Research Working Paper Series 8438, The World Bank.
    18. Richard Bookstaber & Dror Kenett, 2016. "Looking Deeper, Seeing More: A Multilayer Map of the Financial System," Briefs 16-06, Office of Financial Research, US Department of the Treasury.
    19. Andrea Aguiar & Dror Y. Kenett & Richard Bookstaber & Thomas Wipf, 2016. "A Map of Collateral Uses and Flows," Working Papers 16-06, Office of Financial Research, US Department of the Treasury.
    20. Manlio De Domenico & Albert Solé-Ribalta & Elisa Omodei & Sergio Gómez & Alex Arenas, 2015. "Ranking in interconnected multilayer networks reveals versatile nodes," Nature Communications, Nature, vol. 6(1), pages 1-6, November.
    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. Xie, Yiwei & Jiao, Feng & Li, Shihan & Liu, Qingfu & Tse, Yiuman, 2022. "Systemic risk in financial institutions: A multiplex network approach," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    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.

    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. 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.
    2. Cuba, Walter & Rodriguez-Martinez, Anahi & Chavez, Diego A. & Caccioli, Fabio & Martinez-Jaramillo, Serafin, 2021. "A network characterization of the interbank exposures in Peru," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(3).
    3. Cao, Jie & Wen, Fenghua & Stanley, H. Eugene & Wang, Xiong, 2021. "Multilayer financial networks and systemic importance: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 78(C).
    4. Fabio Caccioli & Paolo Barucca & Teruyoshi Kobayashi, 2018. "Network models of financial systemic risk: a review," Journal of Computational Social Science, Springer, vol. 1(1), pages 81-114, January.
    5. Yan, Chun & Ding, Yi & Liu, Wei & Liu, Xinhong & Liu, Jiahui, 2023. "Multilayer interbank networks and systemic risk propagation: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 628(C).
    6. Yanquen, Eduardo & Livan, Giacomo & Montañez-Enriquez, Ricardo & Martinez-Jaramillo, Serafin, 2022. "Measuring systemic risk for bank credit networks: A multilayer approach," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(2).
    7. Alessandro Ferracci & Giulio Cimini, 2021. "Systemic risk in interbank networks: disentangling balance sheets and network effects," Papers 2109.14360, arXiv.org, revised Sep 2022.
    8. Caceres-Santos, Jonnathan & Rodriguez-Martinez, Anahi & Caccioli, Fabio & Martinez-Jaramillo, Serafin, 2020. "Systemic risk and other interdependencies among banks in Bolivia," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
    9. Carro, Adrian & Stupariu, Patricia, 2024. "Uncertainty, non-linear contagion and the credit quality channel: An application to the Spanish interbank market," Journal of Financial Stability, Elsevier, vol. 71(C).
    10. Paolo Bartesaghi & Michele Benzi & Gian Paolo Clemente & Rosanna Grassi & Ernesto Estrada, 2019. "Risk-dependent centrality in economic and financial networks," Papers 1907.07908, arXiv.org, revised Apr 2020.
    11. 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).
    12. Roncoroni, Alan & Battiston, Stefano & Escobar-Farfán, Luis O.L. & Martinez-Jaramillo, Serafin, 2021. "Climate risk and financial stability in the network of banks and investment funds," Journal of Financial Stability, Elsevier, vol. 54(C).
    13. Ricciardi, Gianmarco & Montagna, Guido & Caldarelli, Guido & Cimini, Giulio, 2023. "Dimensional reduction of solvency contagion dynamics on financial networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    14. Roncoroni, Alan & Battiston, Stefano & D’Errico, Marco & Hałaj, Grzegorz & Kok, Christoffer, 2021. "Interconnected banks and systemically important exposures," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    15. X. Zhang & L. D. Valdez & H. E. Stanley & L. A. Braunstein, 2019. "Modeling Risk Contagion in the Venture Capital Market: A Multilayer Network Approach," Complexity, Hindawi, vol. 2019, pages 1-11, December.
    16. Luu, Duc Thi & Napoletano, Mauro & Barucca, Paolo & Battiston, Stefano, 2021. "Collateral Unchained: Rehypothecation networks, concentration and systemic effects," Journal of Financial Stability, Elsevier, vol. 52(C).
    17. Valentina Macchiati & Giuseppe Brandi & Tiziana Di Matteo & Daniela Paolotti & Guido Caldarelli & Giulio Cimini, 2022. "Systemic liquidity contagion in the European interbank market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 443-474, April.
    18. Bardoscia, Marco & Ka-Kay Pang, Raymond, 2023. "Ring-fencing in financial networks," Bank of England working papers 1046, Bank of England.
    19. Silva, Thiago Christiano & Guerra, Solange Maria & Tabak, Benjamin Miranda, 2020. "Fiscal risk and financial fragility," Emerging Markets Review, Elsevier, vol. 45(C).
    20. Niu, Xiaojian & Niu, Xiaoli & Wu, Kexing, 2021. "Implicit government guarantees and the externality of portfolio diversification: A complex network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).

    More about this item

    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:wly:ijfiec:v:24:y:2019:i:4:p:1520-1544. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/1076-9307/ .

    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.