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Systemically Important Accounts, Network Topology and Contagion in ARTIS

Author

Listed:
  • Michael Boss

    (Oesterreichische Nationalbank)

  • Gerald Krenn

    (Oesterreichische Nationalbank, Financial Markets Analysis and Surveillance Division)

  • Valentina Metz

    (Oesterreichische Nationalbank)

  • Claus Puhr

    (Oesterreichische Nationalbank, Financial Markets Analysis and Surveillance Division)

  • Stefan W. Schmitz

    (Oesterreichische Nationalbank)

Abstract

This study investigates the relevance of network topology for the stability of payment systems in the face of operational shocks. The analysis is based on a large number of simulations of the Austrian large-value payment system ARTIS that quantify the contagion impact of operational shocks at participants’ sites. It uncovers that only few accounts are systemically important. We also find that network indicators at the node level can have some explanatory power, which is higher when the analysis focuses on contagion measured by the number of banks with unsettled payments than on that measured by the value of unsettled payments. The explanatory power is, however, lower than that of the more traditional measures of node activity(value and volume) of payments. At this stage of our research, network indicators at the network level seem to be of limited use for stability analysis.

Suggested Citation

  • Michael Boss & Gerald Krenn & Valentina Metz & Claus Puhr & Stefan W. Schmitz, 2008. "Systemically Important Accounts, Network Topology and Contagion in ARTIS," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 15, pages 93-111.
    • Handle: RePEc:onb:oenbfs:y:2008:i:15:b:2
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    Citations

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    Cited by:

    1. Saltoglu, Burak & Yenilmez, Taylan, 2010. "Analyzing Systemic Risk with Financial Networks An Application During a Financial Crash," MPRA Paper 26684, University Library of Munich, Germany.
    2. Tolga Umut Kuzubas & Burak Saltoglu & Can Sever, 2014. "Systemic Risk and Heterogeneous Leverage in Banking Network: Implications for Banking Regulation," Working Papers 2014/01, Bogazici University, Department of Economics.
    3. 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.
    4. 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

    Operational risk; payment systems; network topology; stress tests;
    All these keywords.

    JEL classification:

    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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