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Network Analysis and Canada's Large Value Transfer System

Author

Listed:
  • Lana Embree
  • Tom Roberts

Abstract

Analysis of the characteristics and structure of a network of financial institutions can provide insight into the complex relationships and interdependencies that exist in a payment, clearing, and settlement system (PCSS), and allow an intuitive understanding of the PCSS's efficiency, stability, and resiliency. The authors review the literature related to the PCSS network and describe the daily and intraday network structure of payment activity in the Large Value Transfer System (LVTS), which is an integral component of Canada's financial system. The picture that emerges confirms that the LVTS is highly centralized among a few key participants, similar to other PCSSs, based on the network of relationships. This could heighten the systemic importance of these participants, and the susceptibility of the system to financial contagion. There have been small variations in the relative importance of individual banks, but the network-wide pattern of relationships has remained stable from 2004 to 2008, even through the credit crisis.

Suggested Citation

  • Lana Embree & Tom Roberts, 2009. "Network Analysis and Canada's Large Value Transfer System," Discussion Papers 09-13, Bank of Canada.
  • Handle: RePEc:bca:bocadp:09-13
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    Citations

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    Cited by:

    1. Héctor Pérez Saiz & Gabriel Xerri, 2016. "Credit Risk and Collateral Demand in a Retail Payment System," Discussion Papers 16-16, Bank of Canada.
    2. repec:eee:finsta:v:34:y:2018:i:c:p:1-11 is not listed on IDEAS
    3. Fuchun Li & Héctor Pérez Saiz, 2016. "Measuring Systemic Risk Across Financial Market Infrastructures," Staff Working Papers 16-10, Bank of Canada.
    4. Spiros Bougheas & Alan P. Kirman, 2014. "Complex Financial Networks and Systemic Risk: A Review," CESifo Working Paper Series 4756, CESifo Group Munich.
    5. Noémie NAVARRO & Fabio CASTIGLIONESI, 2016. "(In)Efficient Interbank Networks," Cahiers du GREThA 2016-13, Groupe de Recherche en Economie Théorique et Appliquée.
    6. Morton O’Kelly, 2015. "Network Hub Structure and Resilience," Networks and Spatial Economics, Springer, vol. 15(2), pages 235-251, June.
    7. Souza, Sergio Rubens Stancato de & Silva, Thiago Christiano & Tabak, Benjamin Miranda & Guerra, Solange Maria, 2016. "Evaluating systemic risk using bank default probabilities in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 66(C), pages 54-75.
    8. Jorge A Chan-Lau, 2010. "Balance Sheet Network Analysis of Too-Connected-to-Fail Risk in Global and Domestic Banking Systems," IMF Working Papers 10/107, International Monetary Fund.
    9. Ron Berndsen & Ronald Heijmans, 2017. "Risk indicators for financial market infrastructure: from high frequency transaction data to a traffic light signal," DNB Working Papers 557, Netherlands Central Bank, Research Department.
    10. Martinez-Jaramillo, Serafin & Alexandrova-Kabadjova, Biliana & Bravo-Benitez, Bernardo & Solórzano-Margain, Juan Pablo, 2014. "An empirical study of the Mexican banking system’s network and its implications for systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 242-265.
    11. Tom Roberts, 2011. "The Impact of Operational Events on the Network Structure of the LVTS," Discussion Papers 11-7, Bank of Canada.
    12. Seungjin Baek & Kimmo Soramäki & Jaeho Yoon, 2014. "Network Indicators for Monitoring Intraday Liquidity in BOK-Wire+," Working Papers 2014-1, Economic Research Institute, Bank of Korea.
    13. Benjamin M. Tabak & Sergio R. S. Souza & Solange M. Guerra, 2013. "Assessing Systemic Risk in the Brazilian Interbank Market," Working Papers Series 318, Central Bank of Brazil, Research Department.

    More about this item

    Keywords

    Payment; clearing; and settlement systems; Financial stability;

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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