Examining the Trade-Off between Settlement Delay and Intraday Liquidity in Canada's LVTS: A Simulation Approach
The author explores a fundamental trade-off that occurs between settlement delay and intraday liquidity in the daily operation of large-value payment systems (LVPS), with specific application to Canada's Large Value Transfer System (LVTS). To reduce settlement delay, participants generally must maintain greater intraday liquidity in the system. Intraday liquidity and settlement delay can be costly for LVPS participants, and improvements in the trade-off are desirable. The replacement of standard queuing arrangements with a complex queue-release algorithm represents one such improvement. These algorithms are expected to lower intraday liquidity needs and speed up payments processing in an LVPS. Simulation analysis is used to empirically test this proposition for the case of Canada's LVTS. The analysis is conducted using a payment system simulator developed by the Bank of Finland, called the BoF-PSS2. The author shows that increased use of the LVTS central queue (which contains a complex queue-release algorithm) reduces settlement delay associated with each level of intraday liquidity considered, relative to a standard queuing arrangement. Some important issues emerge from these results.
|Date of creation:||2006|
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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- James J. McAndrews & Samira Rajan, 2000. "The timing and funding of Fedwire funds transfers," Economic Policy Review, Federal Reserve Bank of New York, issue Jul, pages 17-32.
- James J. McAndrews & Simon M. Potter, 2002. "Liquidity effects of the events of September 11, 2001," Economic Policy Review, Federal Reserve Bank of New York, issue Nov, pages 59-79.
- Antoine Martin, 2005. "Recent evolution of large-value payment systems : balancing liquidity and risk," Economic Review, Federal Reserve Bank of Kansas City, issue Q I, pages 33-57.
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