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528 Results

April 13, 2007

The Large-Value Payments System: Insights from Selected Bank of Canada Research

Given the Bank of Canada's strong interest in the safe and efficient operation of major clearing and settlement systems, the Bank maintains a rigorous research agenda as a means of informing payments system policy and oversight. In this article, Arjani and Engert review recent research undertaken by Bank staff concerning the risk and efficiency of the Large Value Transfer System (LVTS). Based on the findings from this research, the authors conclude that the design of the LVTS strikes an effective balance between risk and efficiency. The article also demonstrates the increased use of simulation analysis as a tool for conducting payments system research. A brief summary of the Bank's oversight strategy for systemically important payments systems is also provided. Goals for future research are noted as well, including modelling of participant behaviour and continued external collaboration with other researchers.

The “Too Big to Fail” Subsidy in Canada: Some Estimates

Staff working paper 2018-9 Patricia Palhau Mora
Implicit government guarantees of banking-sector liabilities reduce market discipline by private sector stakeholders and temper the risk sensitivity of funding costs. This potentially increases the likelihood of bailouts from taxpayers, especially in the absence of effective resolution frameworks.
January 5, 2002

Inflation Targeting in Canada: Experience and Lessons

Remarks David Dodge Central Bank Governor's Panel on Inflation Targeting at a joint session of The American Economic Association and the North American Economics and Finance Association Atlanta, Georgia
In the 1970s and 1980s we found - in common with many other countries - that high and variable rates of inflation created a lot of economic damage. And it took a long time and a lot of work with various monetary policy frameworks before we got back on track.

2018 Bitcoin Omnibus Survey: Awareness and Usage

The Bank of Canada continues to use the Bitcoin Omnibus Survey (BTCOS) to monitor trends in Canadians’ awareness, ownership and use of Bitcoin. The most recent iteration was conducted in late 2018, following an 85 percent decline in the price of Bitcoin throughout the year.

Qualitative Field Research in Monetary Policy Making

Staff discussion paper 2021-1 Chris D'Souza, Jane Voll
Central banks conduct research involving in-depth interviews with external parties—but little is known about how this information affects monetary policy. We address this gap by analyzing open-ended interviews with senior central bank economic and policy staff who work closely with policy decision-makers.

Limited Commitment, Endogenous Credibility and the Challenges of Price-level Targeting

Staff working paper 2018-61 Gino Cateau, Malik Shukayev
This paper studies the cost of limited commitment when a central bank has the discretion to adjust policy whenever the costs of honoring its past commitments become high. Specifically, we consider a central bank that seeks to implement optimal policy in a New Keynesian model by committing to a price-level target path.
October 19, 2020

Canadian Survey of Consumer Expectations—Third Quarter of 2020

The Canadian Survey of Consumer Expectations (CSCE) collects respondents’ views on inflation, the labour market and household finances. The survey for the third quarter of 2020 was conducted from August 17 to September 1, 2020. Reported COVID‑19 cases have risen in some provinces since the survey was conducted. The survey included questions, introduced in the previous quarter, on the impacts of COVID‑19 and the measures to contain its spread, along with new questions on how the pandemic is affecting households’ savings.

Fiscal Policy in the Age of COVID-19: Does It “Get in All of the Cracks”?

The COVID-19 pandemic has caused an atypical recession in which some sectors of the economy boomed and others collapsed. This required a unique fiscal policy reaction to both support firms and stimulate activity in sectors with slack. Was fiscal policy able to get where it was needed? Mostly, yes.

Macroeconomic Predictions Using Payments Data and Machine Learning

Staff working paper 2022-10 James Chapman, Ajit Desai
We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges.
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