IDEAS home Printed from https://ideas.repec.org/p/bca/bocadp/18-3.html
   My bibliography  Save this paper

A Calibrated Model of Intraday Settlement

Author

Listed:
  • Héctor Pérez Saiz
  • Siddharth Untawala
  • Gabriel Xerri

Abstract

This paper estimates potential exposures, netting benefits and settlement gains by merging retail and wholesale payments into batches and conducting multiple intraday settlements in this hypothetical model of a single "calibrated payments system." The results demonstrate that credit risk exposures faced by participants in the system are largely dependent on their relative activity in the retail and wholesale payments systems. Participants experience lower exposures in the calibrated system owing to increased netting and significant gains through higher payment values and volumes. This result is reinforced when analyzing participant exposures in periods of stress, particularly during the Great Recession. Relative activity is also indicative of the variations in exposures across participants when implementing multiple batch sizes, especially because increasing batch sizes enhances the value and volume of payments accumulated, thus leading to higher netting and lower exposures. These results and further work may contribute to a better understanding of participant exposures and trade-offs arising from this potential system design.

Suggested Citation

  • Héctor Pérez Saiz & Siddharth Untawala & Gabriel Xerri, 2018. "A Calibrated Model of Intraday Settlement," Discussion Papers 18-3, Bank of Canada.
    • Handle: RePEc:bca:bocadp:18-3
    as

    Download full text from publisher

    File URL: https://www.bankofcanada.ca/wp-content/uploads/2018/01/sdp2018-3.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Héctor Pérez Saiz & Gabriel Xerri, 2016. "Credit Risk and Collateral Demand in a Retail Payment System," Discussion Papers 16-16, Bank of Canada.
    2. Michael Tompkins & Ariel Olivares, 2016. "Clearing and Settlement Systems from Around the World: A Qualitative Analysis," Discussion Papers 16-14, Bank of Canada.
    3. Daniel M. Covitz & J. Nellie Liang & Gustavo A. Suarez, 2009. "The anatomy of a financial crisis: the evolution of panic-driven runs in the asset-backed commercial paper market," Proceedings, Federal Reserve Bank of San Francisco, issue Jan, pages 1-36.
    4. Carlos Arango & Kim Huynh & Ben Fung & Gerald Stuber, 2012. "The Changing Landscape for Retail Payments in Canada and the Implications for the Demand for Cash," Bank of Canada Review, Bank of Canada, vol. 2012(Autumn), pages 31-40.
    5. Daniel M. Covitz & J. Nellie Liang & Gustavo A. Suarez, 2009. "The evolution of a financial crisis: panic in the asset-backed commercial paper market," Finance and Economics Discussion Series 2009-36, Board of Governors of the Federal Reserve System (U.S.).
    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. Nellie Zhang, 2023. "Simulating Intraday Transactions in the Canadian Retail Batch System," Staff Working Papers 23-1, Bank of Canada.

    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 & Jacho-Chávez David T. & Petrunia Robert & Voia Marcel C., 2018. "Tail Risk in a Retail Payments System," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 238(3-4), pages 353-369, July.
    2. Héctor Pérez Saiz & Blair Williams & Gabriel Xerri, 2018. "Tail Risk in a Retail Payment System: An Extreme-Value Approach," Discussion Papers 18-2, Bank of Canada.
    3. Janet Hua Jiang & Enchuan Shao, 2014. "Understanding the Cash Demand Puzzle," Staff Working Papers 14-22, Bank of Canada.
    4. Leonard Nakamura, 2014. "Durable Financial Regulation: Monitoring Financial Instruments as a Counterpart to Regulating Financial Institutions," NBER Chapters, in: Measuring Wealth and Financial Intermediation and Their Links to the Real Economy, pages 67-88, National Bureau of Economic Research, Inc.
    5. Antoine Martin & David Skeie & Ernst-Ludwig von Thadden, 2014. "Repo Runs," The Review of Financial Studies, Society for Financial Studies, vol. 27(4), pages 957-989.
    6. Fujiki, Hiroshi & Tanaka, Migiwa, 2017. "Choice of payment instrument for low-value transactions in Japan," International Cash Conference 2017 – War on Cash: Is there a Future for Cash? 162909, Deutsche Bundesbank.
    7. Gorton, Gary & Metrick, Andrew, 2012. "Securitized banking and the run on repo," Journal of Financial Economics, Elsevier, vol. 104(3), pages 425-451.
    8. Małgorzata Karaś, 2013. "FFR Level in the Period 2000-2007 and the Emergence of the Asset Price Bubble on the US Real Estate Market," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 33.
    9. Jose M. Berrospide, 2013. "Bank liquidity hoarding and the financial crisis: an empirical evaluation," Finance and Economics Discussion Series 2013-03, Board of Governors of the Federal Reserve System (U.S.).
    10. Xavier Vives, 2014. "Strategic Complementarity, Fragility, and Regulation," The Review of Financial Studies, Society for Financial Studies, vol. 27(12), pages 3547-3592.
    11. Kim Huynh & Gradon Nicholls & Oleksandr Shcherbakov, 2019. "Explaining the Interplay Between Merchant Acceptance and Consumer Adoption in Two-Sided Markets for Payment Methods," Staff Working Papers 19-32, Bank of Canada.
    12. Steffen Murau, 2017. "Shadow money and the public money supply: the impact of the 2007–2009 financial crisis on the monetary system," Review of International Political Economy, Taylor & Francis Journals, vol. 24(5), pages 802-838, September.
    13. Chen, Hongyi & Siklos, Pierre L., 2022. "Central bank digital currency: A review and some macro-financial implications," Journal of Financial Stability, Elsevier, vol. 60(C).
    14. Dungey, Mardi & Islam, Raisul & Volkov, Vladimir, 2020. "Crisis transmission: Visualizing vulnerability," Pacific-Basin Finance Journal, Elsevier, vol. 59(C).
    15. Song Han & Dan Li, 2010. "The fragility of discretionary liquidity provision - lessons from the collapse of the auction rate securities market," Finance and Economics Discussion Series 2010-50, Board of Governors of the Federal Reserve System (U.S.).
    16. Janet Hua Jiang & Enchuan Shao, 2020. "The Cash Paradox," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 36, pages 177-197, April.
    17. Grassi, Stefano & Santucci de Magistris, Paolo, 2015. "It's all about volatility of volatility: Evidence from a two-factor stochastic volatility model," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 62-78.
    18. Calomiris, Charles W. & Love, Inessa & Martínez Pería, María Soledad, 2012. "Stock returns’ sensitivities to crisis shocks: Evidence from developed and emerging markets," Journal of International Money and Finance, Elsevier, vol. 31(4), pages 743-765.
    19. Tedds, Lindsay, 2017. "Implementing a Basic Income Guarantee through the Personal Income Tax System: Benefits, Barriers, and Bothers," MPRA Paper 104003, University Library of Munich, Germany.
    20. Walter blocher & Andreas Hanl & Jochen Michaelis, 2017. "Revolutionieren Kryptowährungen die Zahlungssysteme?," MAGKS Papers on Economics 201748, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

    More about this item

    Keywords

    Econometric and statistical methods; Financial stability; Payment clearing and settlement systems;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

    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:bocadp:18-3. 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.