IDEAS home Printed from https://ideas.repec.org/p/mnb/opaper/2017-132.html
   My bibliography  Save this paper

Network properties and evolutionof the Hungarian RTGSover the past decade

Author

Listed:
  • László Bodnár

    (Magyar Nemzeti Bank (Central Bank of Hungary))

Abstract

Since the 2008 economic crisis, network research has become increasingly prominent in the world of finance. The complex interrelations and financial interdependencies formed among financial market participants have proved to be critical in times of crisis. In this paper, we explore the network properties of the Hungarian RTGS (VIBER) and also seek an answer to the question of whether the network properties of the system have changed over the long term across the time windows considered, and if so, to what extent. Furthermore, we identify systemically important participants using a variety of network theory tools. We also explore methodologies which – by providing new perspectives for monitoring the evolution of systemically important participants – may contribute to improving the effectiveness of oversight in Hungary. To identify systemically important participants, we apply four methodologies, namely: the LSI index, the model capturing the relation of eigenvector and betweenness, diffusion centrality, and the model exploring the effect of combining multiple nodes. In the Hungarian RTGS, two distinct groups emerge: the first is comprised of participants that play a key role in the transmission of liquidity (“core”), and the other is the cluster of periphery participants. As the composition of the core has remained virtually unchanged, it can be considered stable. While the risk of contagion arising from an operational disruption increased at both the individual and aggregated level during the period under review, it is also apparent that no such link exists in the graph the removal of which would ultimately cut the communication between the banks originally connected by it. The results of each indicator showed that there were no significant changes regarding the network properties across the three time windows, confirming the robustness of the network properties of the Hungarian RTGS and its stability over time.

Suggested Citation

  • László Bodnár, 2017. "Network properties and evolutionof the Hungarian RTGSover the past decade," MNB Occasional Papers 2017/132, Magyar Nemzeti Bank (Central Bank of Hungary).
  • Handle: RePEc:mnb:opaper:2017/132
    as

    Download full text from publisher

    File URL: https://www.mnb.hu/letoltes/mnb-op-132-final.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hajime Inaoka & Takuto Ninomiya & Ken Taniguchi & Tokiko Shimizu & Hideki Takayasu, 2004. "Fractal Network derived from banking transaction -- An analysis of network structures formed by financial institutions --," Bank of Japan Working Paper Series 04-E-4, Bank of Japan.
    2. León, Carlos & Machado, Clara & Sarmiento, Miguel, 2018. "Identifying central bank liquidity super-spreaders in interbank funds networks," Journal of Financial Stability, Elsevier, vol. 35(C), pages 75-92.
    3. Berlinger, Edina & Szenes, Márk & Michaletzky, Márton, 2011. "A fedezetlen bankközi forintpiac hálózati dinamikájának vizsgálata a likviditási válság előtt és után [Examination of the network dynamics of the uncovered interbank forint market before the liquid," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 229-252.
    4. Becher, Christopher & Millard, Stephen & SoramÃÂäki, Kimmo, 2008. "The network topology of CHAPS Sterling," Bank of England working papers 355, Bank of England.
    5. Ãdám Banai & András Kollarik & András Szabó-Solticzky, 2014. "Identification of Systemically Important Banks Using Network Theory," Research in Economics and Business: Central and Eastern Europe, Tallinn School of Economics and Business Administration, Tallinn University of Technology, vol. 6(2).
    6. Craig, Ben & von Peter, Goetz, 2014. "Interbank tiering and money center banks," Journal of Financial Intermediation, Elsevier, vol. 23(3), pages 322-347.
    7. Machado, C. & Sarmiento Paipilla, N.M. & León, C., 2015. "Identifying Central Bank Liquidity Super-Spreaders in Interbank Funds Networks," Other publications TiSEM 65196525-e8d7-4b78-9b8d-7, Tilburg University, School of Economics and Management.
    8. León, C. & Machado, C. & Sarmiento Paipilla, N.M., 2015. "Identifying Central Bank Liquidity Super-Spreaders in Interbank Funds Networks," Other publications TiSEM 452f3acc-9aff-4666-a044-7, Tilburg University, School of Economics and Management.
    9. Ágnes Lublóy, 2006. "Topology of the Hungarian large-value transfer system," MNB Occasional Papers 2006/57, Magyar Nemzeti Bank (Central Bank of Hungary).
    10. László Bodnár & László Delikát & Bence Illés & Ádám Szepesi, 2015. "Savings cooperatives + integration = More efficient payment services?," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 14(3), pages 122-146.
    11. Stephen P. Borgatti, 2006. "Identifying sets of key players in a social network," Computational and Mathematical Organization Theory, Springer, vol. 12(1), pages 21-34, April.
    Full references (including those not matched with items on IDEAS)

    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. Affinito, Massimiliano & Franco Pozzolo, Alberto, 2017. "The interbank network across the global financial crisis: Evidence from Italy," Journal of Banking & Finance, Elsevier, vol. 80(C), pages 90-107.
    2. León, C., 2015. "Financial stability from a network perspective," Other publications TiSEM bb2e4e44-e842-45c6-a946-4, Tilburg University, School of Economics and Management.
    3. 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).
    4. Carlos León & Constanza Martínez-Ventura & Freddy Cepeda-López, 2019. "Short-Term Liquidity Contagion in the Interbank Market," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 38(76), pages 51-80, January.
    5. Carlos León & Jhonatan Pérez & Luc Renneboog, 2014. "A multi-layer network of the sovereign securities market," Borradores de Economia 840, Banco de la Republica de Colombia.
    6. León, C. & Martínez, Constanza & Cepeda, Freddy, 2016. "Short-Term Liquidity Contagion in the Interbank Market," Other publications TiSEM c49d4eff-9bfd-4a01-af6f-7, Tilburg University, School of Economics and Management.
    7. Carlos León & Jorge Cely & Carlos Cadena, 2016. "Identifying Interbank Loans, Rates, and Claims Networks from Transactional Data," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 85, pages 91-125, Julio - D.
    8. Carlos León & Javier Miguélez, 2020. "Interbank relationship lending in Colombia," Borradores de Economia 1118, Banco de la Republica de Colombia.
    9. Martínez, Constanza & León, Carlos, 2016. "The cost of collateralized borrowing in the Colombian money market: Does connectedness matter?," Journal of Financial Stability, Elsevier, vol. 25(C), pages 193-205.
    10. Rainone, Edoardo, 2020. "The network nature of over-the-counter interest rates," Journal of Financial Markets, Elsevier, vol. 47(C).
    11. Berlinger, Edina & Dömötör, Barbara & Daróczi, Gergely & Vadász, Tamás, 2017. "Pénzügyi hálózatok mag-periféria szerkezete. A magyar bankközi fedezetlen hitelek piaca, 2003-2012 [The core periphery structure of financial networks: investigating Hungary s interbank deposit mar," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1160-1185.
    12. León, C. & Sarmiento, M., 2016. "Liquidity and Counterparty Risks Tradeoff in Money Market Networks," Discussion Paper 2016-017, Tilburg University, Center for Economic Research.
    13. León, C. & Cely, Jorge & Cadena, Carlos, 2015. "Identifying Interbank Loans, Rates, and Claims Networks from Transactional Data," Other publications TiSEM ccd49709-e1d5-4da9-bf85-8, Tilburg University, School of Economics and Management.
    14. León, Carlos & Miguélez, Javier, 2021. "Interbank relationship lending revisited: Are the funds available at a similar price?," Research in International Business and Finance, Elsevier, vol. 58(C).
    15. Tabak, Benjamin Miranda & Silva, Thiago Christiano & Fiche, Marcelo Estrela & Braz, Tércio, 2021. "Citation likelihood analysis of the interbank financial networks literature: A machine learning and bibliometric approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    16. León, C. & Sarmiento, M., 2016. "Liquidity and Counterparty Risks Tradeoff in Money Market Networks," Other publications TiSEM fa0a957d-4f5b-45dc-9148-a, Tilburg University, School of Economics and Management.
    17. Téllez-León, Isela-Elizabeth & Martínez-Jaramillo, Serafín & O. L. Escobar-Farfán, Luis & Hochreiter, Ronald, 2021. "How are network centrality metrics related to interest rates in the Mexican secured and unsecured interbank markets?," Journal of Financial Stability, Elsevier, vol. 55(C).
    18. Carlos A. Arango & Freddy H. Cepeda, 2016. "Non-monotonic Tradeoffs of Tiering in a Large Value Payment System," Borradores de Economia 946, Banco de la Republica de Colombia.
    19. repec:tiu:tiucen:bd09917e-4277-418c-8d8e-5bd5b8439fd3 is not listed on IDEAS
    20. Carlos León & Javier Miguélez, 2021. "Securities cross-holding in the Colombian financial system: a topological approach," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 38(4), pages 786-806, February.
    21. Pawe{l} Smaga & Mateusz Wili'nski & Piotr Ochnicki & Piotr Arendarski & Tomasz Gubiec, 2016. "Can banks default overnight? Modeling endogenous contagion on O/N interbank market," Papers 1603.05142, arXiv.org.

    More about this item

    Keywords

    Hungarian RTGS (VIBER); network research; financial networks; graph theory; topology; centrality indices; systemically important financial institutions (SIFI);
    All these keywords.

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • G2 - Financial Economics - - Financial Institutions and Services
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

    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:mnb:opaper:2017/132. 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: Lorant Kaszab The email address of this maintainer does not seem to be valid anymore. Please ask Lorant Kaszab to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/mnbgvhu.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.