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2166 Results

May 16, 2001

Core Principles for Systemically Important Payments Systems and Their Application in Canada

Systemically important payments systems are systems that, because of the size or the nature of the payments they process, could trigger or transmit serious shocks across domestic or international financial systems if they were insufficiently protected against risk. This article describes the overall framework of core principles developed for the design, operation, and oversight of such payments systems. The article reviews the role of the task force established to develop the core principles and examines the core principles themselves. It also examines the role of central banks in overseeing major payments systems and in applying the core principles to them. The focus is on the Bank of Canada's oversight responsibilities under the Payment Clearing and Settlement Act and on Canada's systemically important payments system—the LVTS.
August 21, 2007

Bank of Canada sees joint commitment by major Bank CEOs on bank-sponsored asset-backed commercial paper (ABCP) as positive step

The Bank of Canada continues to monitor the functioning of Canada's financial markets and to make liquidity available as required. The commitment by Canada's major bank CEO's to work together to support the performance and liquidity of the market for bank-sponsored asset-backed commercial paper (ABCP) is a further positive step to help re-establish well functioning […]
Content Type(s): Press, Press releases

Potential output in Canada: 2024 assessment

We expect that potential output in Canada will grow by 2.3% and 2.5% in 2023 and 2024, respectively, and average slightly below 1.7% by 2027 as population growth moderates. Relative to the April 2023 assessment, growth is revised up in 2024, with a larger contribution from trend labour input due to higher-than-anticipated population growth. We revise down our estimates of growth over 2025–26.

Calculating Effective Degrees of Freedom for Forecast Combinations and Ensemble Models

Staff discussion paper 2022-19 James Younker
This paper derives a calculation for the effective degrees of freedom of a forecast combination under a set of general conditions for linear models. Computing effective degrees of freedom shows that the complexity cost of a forecast combination is driven by the parameters in the weighting scheme and the weighted average of parameters in the auxiliary models.
August 6, 2010

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