IDEAS home Printed from https://ideas.repec.org/a/eee/lajcba/v4y2023i4s2666143823000273.html
   My bibliography  Save this article

Measuring the impact of a failing participant in payment systems

Author

Listed:
  • Heijmans, Ronald
  • Wendt, Froukelien

Abstract

Large banks and critical financial market infrastructures (FMIs) that are not able to fulfill their payment obligations, for example following a bankruptcy or cyber-attack, can be a source of financial instability and contagion in the financial system. This paper develops a composite risk indicator to evaluate the criticality of participants in a large value payment system network, combining liquidity risk (i.e. size of incoming and outgoing payments) and systemic impact or interconnections between network participants in one approach. It is applied, as a proof of concept, to the TARGET2 payment system that links banks and FMIs in a tight network of interdependencies. We find that the most critical participants in TARGET2 are other payment systems (large value and retail) because of the underlying gross size of their payment flows. Some banks may be critical, but this is mainly due to their interconnectedness with other TARGET2 participants. Central counterparties and central securities depositories are less critical to the payment system. Our findings can be used by (1) financial stability experts to evaluate the impact of a failing critical participant in the financial system, and (2) central banks in their role as payment system operator and overseer. Besides, it feeds into policy discussions on payment system access, oversight, and crisis management.

Suggested Citation

  • Heijmans, Ronald & Wendt, Froukelien, 2023. "Measuring the impact of a failing participant in payment systems," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(4).
  • Handle: RePEc:eee:lajcba:v:4:y:2023:i:4:s2666143823000273
    DOI: 10.1016/j.latcb.2023.100106
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2666143823000273
    Download Restriction: Gold Open Access

    File URL: https://libkey.io/10.1016/j.latcb.2023.100106?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Luca Arciero & Ronald Heijmans & Richard Heuver & Marco Massarenti & Cristina Picillo & Francesco Vacirca, 2016. "How to Measure the Unsecured Money Market: The Eurosystem’s Implementation and Validation Using TARGET2 Data," International Journal of Central Banking, International Journal of Central Banking, vol. 12(1), pages 247-280, March.
    2. Soramäki, Kimmo & Bech, Morten L. & Arnold, Jeffrey & Glass, Robert J. & Beyeler, Walter E., 2007. "The topology of interbank payment flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(1), pages 317-333.
    3. Antoine Bouveret, 2018. "Cyber Risk for the Financial Sector: A Framework for Quantitative Assessment," IMF Working Papers 2018/143, International Monetary Fund.
    4. Klee, Elizabeth, 2010. "Operational outages and aggregate uncertainty in the federal funds market," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2386-2402, October.
    5. 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).
    6. Ms. Froukelien Wendt, 2015. "Central Counterparties: Addressing their Too Important to Fail Nature," IMF Working Papers 2015/021, International Monetary Fund.
    7. Bardoscia, Marco & Bianconi, Ginestra & Ferrara, Gerardo, 2018. "Multiplex network analysis of the UK OTC derivatives market," Bank of England working papers 726, Bank of England, revised 10 Sep 2019.
    8. Li, Fuchun & Perez-Saiz, Hector, 2018. "Measuring systemic risk across financial market infrastructures," Journal of Financial Stability, Elsevier, vol. 34(C), pages 1-11.
    9. Luis Gerardo Gage & Raúl Morales-Resendiz & John Arroyo & Jeniffer Rubio & Paolo Barucca, 2022. "Classifying payment patterns with artificial neural networks: an autoencoder approach," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Machine learning in central banking, volume 57, Bank for International Settlements.
    10. Rosati, Simonetta & Secola, Stefania, 2005. "Explaining cross-border large-value payment flows: evidence from TARGET and EURO 1 data," Working Paper Series 443, European Central Bank.
    11. Sabetti, Leonard & Heijmans, Ronald, 2021. "Shallow or deep? Training an autoencoder to detect anomalous flows in a retail payment system," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(2).
    12. Rubio, Jeniffer & Pérez, Bryan & Arroyo, John, 2021. "Risk monitoring in Ecuador's payment system: Implementation of a network topology study," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(3).
    13. 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.
    14. Tiziano Squartini & Iman van Lelyveld & Diego Garlaschelli, 2013. "Early-warning signals of topological collapse in interbank networks," Papers 1302.2063, arXiv.org, revised Nov 2013.
    15. 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.
    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. Sabetti, Leonard & Heijmans, Ronald, 2021. "Shallow or deep? Training an autoencoder to detect anomalous flows in a retail payment system," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(2).
    2. Timmermans, M. & Heijmans, R. & Daniels, Hennie, 2017. "Cyclical patterns in risk indicators based on financial market infrastructure transaction data," Other publications TiSEM b1c76cf9-cbdb-436c-8420-4, Tilburg University, School of Economics and Management.
    3. Jan Paulick & Ron Berndsen & Martin Diehl & Ronald Heijmans, 2024. "No more tears without tiers? The impact of indirect settlement on liquidity use in TARGET2," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(2), pages 425-458, May.
    4. Arévalo, Franklim & Barucca, Paolo & Téllez-León, Isela-Elizabeth & Rodríguez, William & Gage, Gerardo & Morales, Raúl, 2022. "Identifying clusters of anomalous payments in the salvadorian payment system," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(1).
    5. 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).
    6. Ronald Heijmans & Chen Zhou, 2019. "Outlier detection in TARGET2 risk indicators," DNB Working Papers 624, Netherlands Central Bank, Research Department.
    7. Temizsoy, Asena & Iori, Giulia & Montes-Rojas, Gabriel, 2017. "Network centrality and funding rates in the e-MID interbank market," Journal of Financial Stability, Elsevier, vol. 33(C), pages 346-365.
    8. Paulick, Jan & Berndsen, Ron & Diehl, Martin & Heijmans, Ronald, 2021. "No more Tears without Tiers? The Impact of Indirect Settlement on liquidity use in TARGET2," Other publications TiSEM 57477131-2199-46bf-a2f1-5, Tilburg University, School of Economics and Management.
    9. Kuzubaş, Tolga Umut & Saltoğlu, Burak & Sever, Can, 2016. "Systemic risk and heterogeneous leverage in banking networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 358-375.
    10. Bech, Morten L. & Atalay, Enghin, 2010. "The topology of the federal funds market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(22), pages 5223-5246.
    11. Ricardo Mariño-Martínez & Carlos León & Carlos Cadena-Silva, 2020. "Las entidades de contrapartida central en la mitigación del riesgo de contraparte y de liquidez: El caso de los derivados cambiarios en Colombia," Borradores de Economia 1101, Banco de la Republica de Colombia.
    12. Elosegui, Pedro & Forte, Federico D. & Montes-Rojas, Gabriel, 2022. "Network structure and fragmentation of the Argentinean interbank markets," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(3).
    13. Rainone, Edoardo, 2020. "The network nature of over-the-counter interest rates," Journal of Financial Markets, Elsevier, vol. 47(C).
    14. Song, Jae Wook & Ko, Bonggyun & Cho, Poongjin & Chang, Woojin, 2016. "Time-varying causal network of the Korean financial system based on firm-specific risk premiums," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 287-302.
    15. Aldasoro, Iñaki & Alves, Iván, 2018. "Multiplex interbank networks and systemic importance: An application to European data," Journal of Financial Stability, Elsevier, vol. 35(C), pages 17-37.
    16. 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.
    17. Sam Langfield & Kimmo Soramäki, 2016. "Interbank Exposure Networks," Computational Economics, Springer;Society for Computational Economics, vol. 47(1), pages 3-17, January.
    18. HORIKAWA Takumi & MATSUI Yujiro & GEMMA Yasufumi, 2021. "A Network Analysis of the JGB Repo Market," Bank of Japan Working Paper Series 21-E-14, Bank of Japan.
    19. Martínez-Ventura, Constanza & Mariño-Martínez, Ricardo & Miguélez-Márquez, Javier, 2023. "Redundancy of Centrality Measures in Financial Market Infrastructures," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(4).
    20. Su, Zhi & Xu, Fuwei, 2021. "Dynamic identification of systemically important financial markets in the spread of contagion: A ripple network based collective spillover effect approach," Journal of Multinational Financial Management, Elsevier, vol. 60(C).

    More about this item

    Keywords

    Financial market infrastructures; TARGET2; Liquidity risk; Systemic impact; Oversight; Financial stability;
    All these keywords.

    JEL classification:

    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E59 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Other

    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:eee:lajcba:v:4:y:2023:i:4:s2666143823000273. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/latin-american-journal-of-central-banking .

    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.