IDEAS home Printed from https://ideas.repec.org/p/bca/bocawp/23-24.html
   My bibliography  Save this paper

From LVTS to Lynx: Quantitative Assessment of Payment System Transition

Author

Listed:
  • Ajit Desai
  • Zhentong Lu
  • Hiru Rodrigo
  • Jacob Sharples
  • Phoebe Tian
  • Nellie Zhang

Abstract

Modernizing Canada’s wholesale payments system to Lynx from the Large Value Transfer System (LVTS) brings two key changes: (1) the settlement model shifts from a hybrid system that combined components of both real-time gross settlement (RTGS) and deferred net settlement (DNS) to an RTGS system; (2) the policy regarding queue usage changes from discouraging it to encouraging the adoption of the new liquidity-saving mechanism. We utilize this unique opportunity to quantitatively assess the effects of those changes on the behaviour of participants in the high-value payments system. Our analysis reveals the following: (1) At the system level, most payments are settled in a single stream with the liquidity-savings mechanism in Lynx—facilitating liquidity pooling and leading to higher efficiency than LVTS where payments were distributed in two streams. Moreover, due to Lynx’s liquidity-saving mechanism, many payments arrive earlier than those in LVTS, providing more opportunities for liquidity saving at the cost of slightly increased payment delay. (2) At the participant level, the responses are rather heterogeneous; however, our analysis suggests that liquidity efficiency is improved for several participants, and most experience slightly longer payment delays in Lynx than in LVTS.

Suggested Citation

  • Ajit Desai & Zhentong Lu & Hiru Rodrigo & Jacob Sharples & Phoebe Tian & Nellie Zhang, 2023. "From LVTS to Lynx: Quantitative Assessment of Payment System Transition," Staff Working Papers 23-24, Bank of Canada.
    • Handle: RePEc:bca:bocawp:23-24
    as

    Download full text from publisher

    File URL: https://www.bankofcanada.ca/wp-content/uploads/2023/04/swp2023-24.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bech, Morten L. & Garratt, Rod, 2003. "The intraday liquidity management game," Journal of Economic Theory, Elsevier, vol. 109(2), pages 198-219, April.
    2. Francisco Rivadeneyra & Nellie Zhang, 2022. "Payment Coordination and Liquidity Efficiency in the New Canadian Wholesale Payments System," Discussion Papers 2022-3, Bank of Canada.
    3. 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.
    4. Morten Linnemann Bech & Yuuki Shimizu & Paul Wong, 2017. "The quest for speed in payments," BIS Quarterly Review, Bank for International Settlements, March.
    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. James T. E. Chapman & Ajit Desai, 2023. "Macroeconomic Predictions Using Payments Data and Machine Learning," Forecasting, MDPI, vol. 5(4), pages 1-32, November.
    2. Irving Fisher Committee, 2024. "Granular data: new horizons and challenges," IFC Bulletins, Bank for International Settlements, number 61.
    3. Ajit Desai & Jacob Sharples & Anneke Kosse, 2024. "Finding a needle in a haystack: a machine learning framework for anomaly detection in payment systems," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Granular data: new horizons and challenges, volume 61, Bank for International Settlements.

    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. Rodney J. Garratt & Zhentong Lu & Phoebe Tian, 2023. "How Banks Create Gridlock to Save Liquidity in Canada's Large Value Payment System," Staff Working Papers 23-26, Bank of Canada.
    2. Christopher McMahon & Donald McGillivray & Ajit Desai & Francisco Rivadeneyra & Jean-Paul Lam & Thomas Lo & Danica Marsden & Vladimir Skavysh, 2022. "Improving the Efficiency of Payments Systems Using Quantum Computing," Staff Working Papers 22-53, Bank of Canada.
    3. 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.
    4. Marius Jurgilas & Antoine Martin, 2013. "Liquidity-saving mechanisms in collateral-based RTGS payment systems," Annals of Finance, Springer, vol. 9(1), pages 29-60, February.
    5. 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.
    6. Mark J Manning & Matthew Willison, 2006. "Modelling the cross-border use of collateral in payment systems," Bank of England working papers 286, Bank of England.
    7. Mills, David Jr., 2006. "Alternative central bank credit policies for liquidity provision in a model of payments," Journal of Monetary Economics, Elsevier, vol. 53(7), pages 1593-1611, October.
    8. Gara Afonso & Darrell Duffie & Lorenzo Rigon & Hyun Song Shin, 2022. "How Abundant Are Reserves? Evidence from the Wholesale Payment System," Staff Reports 1040, Federal Reserve Bank of New York.
    9. Alexander Kroeger & James J. McAndrews, 2016. "The payment system benefits of high reserve balances," Staff Reports 779, Federal Reserve Bank of New York.
    10. repec:zbw:bofrdp:2003_023 is not listed on IDEAS
    11. Klaus Abbink & Ronald Bosman & Ronald Heijmans & Frans van Winden, 2017. "Disruptions in Large-Value Payment Systems: An Experimental Approach," International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 63-95, December.
    12. Antoine Martin & James J. McAndrews, 2008. "An economic analysis of liquidity-saving mechanisms," Economic Policy Review, Federal Reserve Bank of New York, vol. 14(Sep), pages 25-39.
    13. Cronin, David, 2021. "Whither Cash in Payments?," Quarterly Bulletin Articles, Central Bank of Ireland, pages 64-87, January.
    14. Monticini, Andrea & Ravazzolo, Francesco, 2014. "Forecasting the intraday market price of money," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 304-315.
    15. Chen, Wei & Hou, Xiaoli & Jiang, Manrui & Jiang, Cheng, 2022. "Identifying systemically important financial institutions in complex network: A case study of Chinese stock market," Emerging Markets Review, Elsevier, vol. 50(C).
    16. Christine A. Parlour & Uday Rajan & Johan Walden, 2022. "Payment System Externalities," Journal of Finance, American Finance Association, vol. 77(2), pages 1019-1053, April.
    17. Abbassi, Puriya & Fecht, Falko & Tischer, Johannes, 2015. "The intraday interest rate: What's that?," Discussion Papers 24/2015, Deutsche Bundesbank.
    18. Thomas M. Eisenbach & Anna Kovner & Michael Junho Lee, 2022. "When It Rains, It Pours: Cyber Risk and Financial Conditions," Staff Reports 1022, Federal Reserve Bank of New York.
    19. Huberto M. Ennis & John A. Weinberg, 2007. "Interest on reserves and daylight credit," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 93(Spr), pages 111-142.
    20. Morten L. Bech & Rodney J. Garratt, 2012. "Illiquidity in the Interbank Payment System Following Wide‐Scale Disruptions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(5), pages 903-929, August.
    21. Bhattacharya, Joydeep & Haslag, Joseph H. & Martin, Antoine, 2009. "Why does overnight liquidity cost more than intraday liquidity?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1236-1246, June.

    More about this item

    Keywords

    Financial institutions; Financial services; Financial system regulation and policies; Payment clearing and settlement systems;
    All these keywords.

    JEL classification:

    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

    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:bca:bocawp:23-24. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bocgvca.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.