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November 11, 2008

The Market Impact of Forward-Looking Policy Statements: Transparency vs. Predictability

Central banks continuously strive to improve how they communicate to financial markets and the public in order to increase transparency. For this reason, many central banks have begun to include guidance on the policy rate in the form of forward-looking statements in their communications. This article examines the debate over the usefulness of providing such statements from both theoretical and empirical standpoints. The evidence presented here suggests that the use of forward-looking statements in Bank of Canada communications has made the Bank more predictable, but not necessarily more transparent.

The impact of the Bank of Canada’s Government Bond Purchase Program

We assess the response of Government of Canada bond yields to the Bank of Canada’s initial announcement of the Government Bond Purchase Program (GBPP) as well as to the Bank’s later GBPP purchase operations.

The Determinants of Consumers’ Inflation Expectations: Evidence from the US and Canada

Staff working paper 2020-52 Charles Bellemare, Rolande Kpekou Tossou, Kevin Moran
We compare the determinants of consumer inflation expectations in the US and Canada by analyzing two current surveys. We find that Canadian consumers rely more on professional forecasts and the history of actual inflation when forming their expectations, while US consumers rely more on their own lagged expectations.

Production Networks and the Propagation of Commodity Price Shocks

Staff working paper 2020-44 Shutao Cao, Wei Dong
We examine the macro implications of commodity price shocks in a model with multiple production sectors that are interconnected within a commodity-exporting small open economy.

Cash Versus Card: Payment Discontinuities and the Burden of Holding Coins

Staff working paper 2017-47 Heng Chen, Kim Huynh, Oz Shy
Cash is the preferred method of payment for small value transactions generally less than $25. We provide insight to this finding with a new theoretical model that characterizes and compares consumers’ costs of paying with cash to paying with cards for each transaction.

Market structure of cryptoasset exchanges: Introduction, challenges and emerging trends

This paper provides an overview of cryptoasset exchanges. We contrast their design with exchanges in traditional financial markets and discuss emerging regulatory trends and innovations aimed at solving the problems cryptoasset exchanges face.

Finding a Needle in a Haystack: A Machine Learning Framework for Anomaly Detection in Payment Systems

Staff working paper 2024-15 Ajit Desai, Anneke Kosse, Jacob Sharples
Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems.
October 20, 2006

MUSE: The Bank of Canada's New Projection Model of the U.S. Economy

Staff projections provided for the Bank of Canada's monetary policy decision process take into account the integration of Canada's very open economy within the global economy, as well as its close real and financial linkages with the United States. To provide inputs for this projection, the Bank has developed several models, including MUSE, NEUQ (the New European Quarterly Model), and BoC-GEM (Bank of Canada Global Economy Model), to analyze and forecast economic developments in the rest of the world. The authors focus on MUSE, the model currently used to describe interaction among the principal U.S. economic variables, including gross domestic product, inflation, interest rates, and the exchange rate. Brief descriptions are also provided of NEUQ and BoC-GEM.

On the Programmability and Uniformity of Digital Currencies

Staff working paper 2025-18 Jonathan Chiu, Cyril Monnet
Central bankers argue that programmable digital currencies may compromise the uniformity of money. We develop a stylized model to examine this argument and the trade-offs involved in circulating programmable money.
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