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Liquidity Usage and Payment Delay Estimates of the New Canadian High Value Payments System

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  • Francisco Rivadeneyra
  • Nellie Zhang

Abstract

This paper presents simulation results for Canada's new large-value payments system: Lynx. We simulate the settlement process of Lynx using a large sample of payments observed in the current system (LVTS), taking the initial level of liquidity as given. We calculate the resulting liquidity usage, the payment delay and the shares of payments settled on a gross or net basis. The behaviour of participants (timing of payment submission) is assumed to remain the same as in LVTS. With an initial liquidity comparable to the collateral amount currently pledged in LVTS ($14.6 billion), Lynx FIFO Bypass would result in 28 minutes of average weighted delay and $17.3 billion of liquidity usage (the sum of intraday maximum net debit positions). Given this configuration, on average, $1.9 billion would be needed to clear non-urgent payments delayed until the end of the day, equivalent to 4.1 percent of payment value and 0.06 percent of volume. Doubling the amount of initial liquidity (to $29.3 billion) would result in 12 minutes of weighted delay. This basic configuration of Lynx requires a higher level of liquidity than LVTS and a plain-vanilla RTGS with pooled liquidity.

Suggested Citation

  • Francisco Rivadeneyra & Nellie Zhang, 2020. "Liquidity Usage and Payment Delay Estimates of the New Canadian High Value Payments System," Discussion Papers 2020-9, Bank of Canada.
  • Handle: RePEc:bca:bocadp:20-9
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    References listed on IDEAS

    as
    1. Shaun Byck & Ronald Heijmans, 2020. "How much liquidity would a liquidity-saving mechanism save if a liquidity-saving mechanism could save liquidity? A simulation approach for Canada's large-value payment system Shaun Byck," Working Papers 682, DNB.
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    Cited by:

    1. Francisco Rivadeneyra & Nellie Zhang, 2022. "Payment Coordination and Liquidity Efficiency in the New Canadian Wholesale Payments System," Discussion Papers 2022-3, 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. Anneke Kosse & Zhentong Lu & Gabriel Xerri, 2020. "Predicting Payment Migration in Canada," Staff Working Papers 20-37, Bank of Canada.
    4. Pablo S. Castro & Ajit Desai & Han Du & Rodney Garratt & Francisco Rivadeneyra, 2021. "Estimating Policy Functions in Payments Systems Using Reinforcement Learning," Staff Working Papers 21-7, Bank of Canada.

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    More about this item

    Keywords

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

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • 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
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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