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Bank liability guarantee schemes have traditionally been viewed as costless measures to shore up investor confidence and prevent bank runs. However, as the experiences of some European countries, most notably Ireland, have demonstrated, the credibility and effectiveness of these guarantees are crucially intertwined with the sovereign’s funding risks.

This report highlights the possible implications of the Free Trade Agreement (FTA) and the North American Free Trade Agreement (NAFTA) for Canada and Mexico. While it is still early, the initial evidence indicates that these treaties are contributing to a continental process of industrial restructuring that will contribute to higher living standards over time. The […]

Deposit insurance protects depositors from failing banks, thus making insured deposits risk-free. When a deposit insurance limit is increased, some deposits that previously were uninsured become insured, thereby increasing the share of risk-free assets in households’ portfolios. This increase cannot simply be undone by households, because to invest in uninsured deposits, a household must first invest in insured deposits up to the limit. This basic insight is the starting point of the analysis in this paper.

This paper measures the welfare gains of switching from inflation-targeting to price-level targeting under imperfect credibility. Vestin (2006) shows that when the monetary authority cannot commit to future policy, price-level targeting yields higher welfare than inflation targeting.

Businesses’ expectations for the pace of economic activity over the next 12 months remain positive, although somewhat less so than in the winter survey.

Supplemental questions on the appreciation of the Canadian dollar - April 2004

Supplemental questions on the appreciation of the Canadian dollar - February 2004

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.

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.

How wrong could policymakers be when using linearized solutions to their macroeconomic models instead of nonlinear global solutions?

In this paper, we develop a theoretical model which identifies four channels–import prices, competition with domestic suppliers and workers, and commodity prices–through which price- and wage-setting conditions in country j may affect inflation in country i.