IDEAS home Printed from https://ideas.repec.org/p/bca/bocawp/05-25.html
   My bibliography  Save this paper

The Impact of Unanticipated Defaults in Canada's Large Value Transfer System

Author

Listed:
  • Darcey McVanel

Abstract

Canada's Large Value Transfer System (LVTS) is designed to meet international risk-proofing standards at a minimum cost to participants in terms of collateral requirements. It does so, in part, through collateralized risk-sharing arrangements whereby participants may incur losses if another participant defaults. The LVTS is designed to be robust to defaults. Its rules, however, do not ensure that individual participants are robust to defaults. The author studies participants' robustness to default empirically by creating unanticipated defaults in LVTS, and finds that all participants are able to withstand their loss allocations that result from the largest defaults she can create using actual LVTS data.

Suggested Citation

  • Darcey McVanel, 2005. "The Impact of Unanticipated Defaults in Canada's Large Value Transfer System," Staff Working Papers 05-25, Bank of Canada.
    • Handle: RePEc:bca:bocawp:05-25
    DOI: 10.34989/swp-2005-25
    as

    Download full text from publisher

    File URL: https://doi.org/10.34989/swp-2005-25
    File Function: Abstract
    Download Restriction: no
    File URL: https://www.oar-rao.bank-banque-canada.ca/record/1330/files/wp05-25.pdf
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.34989/swp-2005-25?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. Angelini, P. & Maresca, G. & Russo, D., 1996. "Systemic risk in the netting system," Journal of Banking & Finance, Elsevier, vol. 20(5), pages 853-868, June.
    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. Elisabeth Ledrut, 2007. "Simulating retaliation in payment systems: Can banks control their exposure to a failing participant?," DNB Working Papers 133, Netherlands Central Bank, Research Department.
    2. Sean O'Connor & James Chapman & Kirby Millar, 2008. "Liquidity Efficiency and Distribution in the LVTS: Non-Neutrality of System Changes under Network Asymmetry," Discussion Papers 08-11, Bank of Canada.
    3. Anneke Kosse & Zhentong Lu, . "Transmission of cyber risk through the Canadian wholesale payment system," Journal of Financial Market Infrastructures, Journal of Financial Market Infrastructures.
    4. repec:nsb:wpaper:20 is not listed on IDEAS
    5. Aleksandar Dimitrijevic & Milan Nikolic & Miro Vukoje, 2012. "Analysis of the Payment System of the National Bank of Serbia – simulation-based approach," Working papers 20, National Bank of Serbia.
    6. Ronald Heijmans, 2009. "Simulations in the Dutch interbank payment system: A sensitivity analysis," DNB Working Papers 199, Netherlands Central Bank, Research Department.
    7. Jonathan Chiu & Alexandra Lai, 2007. "Modelling Payments Systems: A Review of the Literature," Staff Working Papers 07-28, Bank of Canada.

    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. Capponi, Agostino & Chen, Peng-Chu, 2015. "Systemic risk mitigation in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 152-166.
    2. Malgorzata Olszak, 2012. "Macroprudential policy - aim, instruments and institutional architecture (Polityka ostroznosciowa w ujêciu makro - cel, instrumenty i architektura instytucjonalna)," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 10(39), pages 7-32.
    3. Ladley, Daniel, 2013. "Contagion and risk-sharing on the inter-bank market," Journal of Economic Dynamics and Control, Elsevier, vol. 37(7), pages 1384-1400.
    4. Michele Manna & Carmela Iazzetta, 2009. "The topology of the interbank market: developments in Italy since 1990," Temi di discussione (Economic working papers) 711, Bank of Italy, Economic Research and International Relations Area.
    5. Morten L. Bech & Rodney J. Garratt, 2012. "Illiquidity in the Interbank Payment System Following Wide‐Scale Disruptions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(5), pages 903-929, August.
    6. Lenzu, Simone & Tedeschi, Gabriele, 2012. "Systemic risk on different interbank network topologies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(18), pages 4331-4341.
    7. Prasanna Gai & Sujit Kapadia, 2011. "A Network Model of Super-Systemic Crises," Central Banking, Analysis, and Economic Policies Book Series, in: Rodrigo Alfaro (ed.),Financial Stability, Monetary Policy, and Central Banking, edition 1, volume 15, chapter 13, pages 411-432, Central Bank of Chile.
    8. Tore Nilssen, 2011. "Risk externalities in a payments oligopoly," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 10(3), pages 211-234, December.
    9. Pallante, Gianluca & Guerini, Mattia & Napoletano, Mauro & Roventini, Andrea, 2025. "Robust-less-fragile: Tackling systemic risk and financial contagion in a macro agent-based model," Journal of Financial Stability, Elsevier, vol. 76(C).
    10. Cevik, Emrah Ismail & Caliskan Terzioglu, Hande & Kilic, Yunus & Bugan, Mehmet Fatih & Dibooglu, Sel, 2024. "Interconnectedness and systemic risk: Evidence from global stock markets," Research in International Business and Finance, Elsevier, vol. 69(C).
    11. De Caux, Robert & Brede, Markus & McGroarty, Frank, 2016. "Payment prioritisation and liquidity risk in collateralised interbank payment systems," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 139-150.
    12. Soramäki, Kimmo & Cook, Samantha, 2013. "SinkRank: An algorithm for identifying systemically important banks in payment systems," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-27.
    13. Mistrulli, Paolo Emilio, 2011. "Assessing financial contagion in the interbank market: Maximum entropy versus observed interbank lending patterns," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1114-1127, May.
    14. Brini, Alessio & Tedeschi, Gabriele & Tantari, Daniele, 2023. "Reinforcement learning policy recommendation for interbank network stability," Journal of Financial Stability, Elsevier, vol. 67(C).
    15. C. Gouriéroux & J.‐C. Héam & A. Monfort, 2012. "Bilateral exposures and systemic solvency risk," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 45(4), pages 1273-1309, November.
    16. Gogas, Periklis & Papadimitriou, Theophilos & Matthaiou, Maria-Artemis, 2016. "Bank supervision using the Threshold-Minimum Dominating Set," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 23-35.
    17. Periklis Gogas & Theophilos Papadimitriou & Maria-Artemis Matthaiou, 2014. "A Novel Banking Supervision Method Using the Minimum Dominating Set," Springer Optimization and Its Applications, in: Valery A. Kalyagin & Panos M. Pardalos & Themistocles M. Rassias (ed.), Network Models in Economics and Finance, edition 127, pages 277-286, Springer.
    18. Angelini, Paolo, 1998. "An analysis of competitive externalities in gross settlement systems," Journal of Banking & Finance, Elsevier, vol. 22(1), pages 1-18, January.
    19. Gabriele Tedeschi & Amin Mazloumian & Mauro Gallegati & Dirk Helbing, 2012. "Bankruptcy Cascades in Interbank Markets," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-10, December.
    20. Helmut Elsinger & Alfred Lehar & Martin Summer, 2006. "Using Market Information for Banking System Risk Assessment," International Journal of Central Banking, International Journal of Central Banking, vol. 2(1), March.

    More about this item

    Keywords

    ;
    ;

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    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:bca:bocawp:05-25. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bocgvca.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.