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2172 Results

Security and convenience of a central bank digital currency

Staff analytical note 2020-21 Charles M. Kahn, Francisco Rivadeneyra
An anonymous token-based central bank digital currency (CBDC) would pose certain security risks to users. These risks arise from how balances are aggregated, from their transactional use and from the competition between suppliers of aggregation solutions.

Downward Nominal Wage Rigidity in Canada: Evidence from Micro- Level Data

Staff working paper 2016-40 Dany Brouillette, Olena Kostyshyna, Natalia Kyui
We assess the importance of downward nominal wage rigidity (DNWR) in Canada using both firm- and worker-level microdata. In particular, we analyze employer-level administrative data from the Major Wage Settlements (MWS) and household-based survey data from the Survey of Labour Income Dynamics (SLID).
March 9, 2010

Inflation Expectations and the Conduct of Monetary Policy: A Review of Recent Evidence and Experience

This article explores the role of inflation expectations in the conduct of monetary policy. It reviews the various measures of inflation expectations used by central banks, including surveys and market-based indicators, and considers their advantages and disadvantages. It examines the critical role of inflation expectations in the framework that central banks use to understand, forecast, and control inflation. It also looks at their role as an indicator of central bank credibility. The behaviour of inflation expectations over the past two years is analyzed and policy conclusions are offered.

The Canadian corporate investment gap

Staff analytical note 2020-19 Chris D'Souza, Timothy Grieder, Daniel Hyun, Jonathan Witmer
Business investment has been lower than expected in Canada and abroad since the financial crisis of 2007–09. This corporate investment gap is mirrored in firms’ other financing decisions, as they have increased cash holdings and dividend payments and decreased issuance of debt and equity.
November 15, 2012

The Changing Landscape for Retail Payments in Canada and the Implications for the Demand for Cash

Over the past 20 years, there has been a major shift away from the use of paper-based retail payment instruments, such as cash and cheques, toward electronic means of payment, such as debit cards and credit cards. Recent Bank of Canada research on consumers’ choice of payment instruments indicates that cash is frequently used for transactions with low values because of its speed, ease of use and wide acceptance, while debit and credit cards are more commonly used for transactions with higher values because of perceived attributes such as safety and record keeping. While innovations in retail payments currently being introduced into the Canadian marketplace could lead to a further reduction in the use of cash over the longer term, the implications for the use of cash of some of the structural and regulatory developments under way are less clear.

Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): C, C8, C83, E, E4, E42, G, G2, G28

Integrating Non-traditional Data and AI into Central Banking: A Canadian Perspective

This paper reviews how central banks are integrating non traditional data and artificial intelligence (AI) into policy analysis and operations. Using the Bank of Canada’s experience, it examines emerging applications, governance challenges, and strategic choices for responsibly scaling AI to enhance insight, efficiency, and institutional resilience.

Assessing Global Potential Output Growth

This note estimates potential output growth for the global economy through 2019. While there is considerable uncertainty surrounding our estimates, overall we expect global potential output growth to rise modestly, from 3.1 per cent in 2016 to 3.4 per cent in 2019.

Characterizing the Canadian Financial Cycle with Frequency Filtering Approaches

Staff analytical note 2018-34 Andrew Lee-Poy
In this note, I use two multivariate frequency filtering approaches to characterize the Canadian financial cycle by capturing fluctuations in the underlying variables with respect to a long-term trend. The first approach is a dynamically weighted composite, and the second is a stochastic cycle model.
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