IDEAS home Printed from https://ideas.repec.org/p/rba/rbardp/rdp2012-06.html
   My bibliography  Save this paper

The Impact of Payment System Design on Tiering Incentives

Author

Listed:
  • Robert Arculus

    (Reserve Bank of Australia)

  • Jennifer Hancock

    (Reserve Bank of Australia)

  • Greg Moran

    (Reserve Bank of Australia)

Abstract

Tiering occurs when an institution does not participate directly in the central payment system but instead settles its payments through an agent. A high level of tiering can be a significant issue for payment system regulators because of the increased credit and concentration risk. This paper explores the impact of payment system design on institutions' incentives to tier using simulation analysis. Some evidence is found to support the hypothesis that the liquidity-saving mechanisms in Australia's real-time gross settlement (RTGS) system – the Reserve Bank Information and Transfer System (RITS) – reduce the liquidity cost of direct participation. This may have contributed to the low level of tiering in RITS relative to RTGS systems in other countries. We find no clear relationship between system design and the size of the substantial two-way exposures tiering creates between clients and their settlement banks. Our data suggest that more tiering would result in only small increases to the level of concentration in RITS.

Suggested Citation

  • Robert Arculus & Jennifer Hancock & Greg Moran, 2012. "The Impact of Payment System Design on Tiering Incentives," RBA Research Discussion Papers rdp2012-06, Reserve Bank of Australia.
  • Handle: RePEc:rba:rbardp:rdp2012-06
    as

    Download full text from publisher

    File URL: https://www.rba.gov.au/publications/rdp/2012/pdf/rdp2012-06.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. James Chapman & Jonathan Chiu & Miguel Molico, 2013. "A Model of Tiered Settlement Networks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(2-3), pages 327-347, March.
    2. Alexandra Lai & Nikil Chande & Sean O'Connor, 2006. "Credit in a Tiered Payments System," Staff Working Papers 06-36, Bank of Canada.
    3. Charles M. Kahn & William Roberds, 2009. "Payments Settlement: Tiering in Private and Public Systems," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(5), pages 855-884, August.
    4. John P. Jackson & Mark J. Manning, 2007. "Central Bank intraday collateral policy and implications for tiering in rtgs payment systems," DNB Working Papers 129, Netherlands Central Bank, Research Department.
    5. Adams, Mark & Galbiati, Marco & Giansante, Simone, 2010. "Liquidity costs and tiering in large-value payment systems," Bank of England working papers 399, Bank of England.
    6. Ana Lasaosa & Merxe Tudela, 2008. "Risks and efficiency gains of a tiered structure in large-value payments: a simulation approach," Bank of England working papers 337, Bank of England.
    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. 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.
    2. Cárdenas, Miguel & Madeira, Carlos & Morales-Resendiz, Raúl & Musa, Miguel & Sanclemente, Mario & Sanz-Bunster, Leon, 2024. "Tiered access in RTGS systems: A DLT-based approach," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 5(1).
    3. Benos, Evangelos & Ferrara, Gerardo & Gurrola-Perez, Pedro, 2017. "The impact of de-tiering in the United Kingdom’s large-value payment system," Bank of England working papers 676, Bank of England.

    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. Benos, Evangelos & Ferrara, Gerardo & Gurrola-Perez, Pedro, 2017. "The impact of de-tiering in the United Kingdom’s large-value payment system," Bank of England working papers 676, Bank of England.
    2. 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.
    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. James Chapman & Jonathan Chiu & Miguel Molico, 2013. "A Model of Tiered Settlement Networks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(2‐3), pages 327-347, March.
    5. Ana Lasaosa & Merxe Tudela, 2008. "Risks and efficiency gains of a tiered structure in large-value payments: a simulation approach," Bank of England working papers 337, Bank of England.
    6. Hiroshi Fujiki, 2013. "Policy Measures to Alleviate Foreign Currency Liquidity Shortages under Aggregate Risk with Moral Hazard," The Japanese Economic Review, Japanese Economic Association, vol. 64(4), pages 504-536, December.
    7. Finan, Kevin & Lasaosa, Ana & Sunderland, Jamie, 2013. "Tiering in CHAPS," Bank of England Quarterly Bulletin, Bank of England, vol. 53(4), pages 371-378.
    8. Adams, Mark & Galbiati, Marco & Giansante, Simone, 2010. "Liquidity costs and tiering in large-value payment systems," Bank of England working papers 399, Bank of England.
    9. Galbiati, Marco & Soramäki, Kimmo, 2011. "An agent-based model of payment systems," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 859-875, June.
    10. Tomura, Hajime, 2018. "Payment instruments and collateral in the interbank payment system," Journal of Economic Theory, Elsevier, vol. 178(C), pages 82-104.
    11. Asaf Bernstein & Eric Hughson & Marc D. Weidenmier, 2014. "Counterparty Risk and the Establishment of the New York Stock Exchange Clearinghouse," NBER Working Papers 20459, National Bureau of Economic Research, Inc.
    12. Jason Allen & Ali Hortaçsu & Jakub Kastl, 2011. "Analyzing Default Risk and Liquidity Demand during a Financial Crisis: The Case of Canada," Staff Working Papers 11-17, Bank of Canada.
    13. Denbee, Edward & Garratt, Rodney & Zimmerman, Peter, 2014. "Variations in liquidity provision in real-time payment systems," Bank of England working papers 513, Bank of England.
    14. Craig, Ben & von Peter, Goetz, 2014. "Interbank tiering and money center banks," Journal of Financial Intermediation, Elsevier, vol. 23(3), pages 322-347.
    15. Leinonen, Harry, 2009. "Simulation analyses and stress testing of payment networks," Scientific Monographs, Bank of Finland, number 2009_042.
    16. repec:zbw:bofism:2009_042 is not listed on IDEAS
    17. Ball, Alan & Denbee, Edward & Manning, Mark & Wetherilt, Anne, 2011. "Financial Stability Paper No 11: Intraday Liquidity - Risk and Regulation," Bank of England Financial Stability Papers 11, Bank of England.
    18. Teteryatnikova, Mariya, 2014. "Systemic risk in banking networks: Advantages of “tiered” banking systems," Journal of Economic Dynamics and Control, Elsevier, vol. 47(C), pages 186-210.
    19. Spiros Bougheas & Alan Kirman, 2015. "Complex Financial Networks and Systemic Risk: A Review," Dynamic Modeling and Econometrics in Economics and Finance, in: Pasquale Commendatore & Saime Kayam & Ingrid Kubin (ed.), Complexity and Geographical Economics, edition 127, pages 115-139, Springer.
    20. Leinonen, Harry (ed.), 2009. "Simulation analyses and stress testing of payment networks," Bank of Finland Scientific Monographs, Bank of Finland, volume 0, number sm2009_042, July.
    21. Bougheas, Spiros, 2022. "Contagion in networks: Stability and efficiency," Mathematical Social Sciences, Elsevier, vol. 115(C), pages 64-77.

    More about this item

    Keywords

    large-value payment systems; tiering; liquidity; simulation;
    All these keywords.

    JEL classification:

    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    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:rba:rbardp:rdp2012-06. 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: Paula Drew (email available below). General contact details of provider: https://edirc.repec.org/data/rbagvau.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.