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During the 1990s the Bank of Canada made several changes that transformed its conduct of monetary policy. In the 1960s and 1970s, policy decisions were made in an environment characterized by instrument opaqueness and goal opaqueness, which tended to shield the Bank's operations from scrutiny and accountability. Since the 1970s the Bank has moved towards transparency and openness by rejecting multiple policy instruments and adopting a single, well-defined goal of inflation control. A recent survey has shown that the Bank of Canada is in the middle range of central banks with regard to its transparency and has lost points for not publishing the forecasts that shape its policy or the minutes and voting records of its governing body. Chant suggests that the public has benefited significantly from the changes the Bank has made, but that it should continue to support research on the benefits of low and stable inflation and continually inform other policy-makers and the public of the results.

The goal of Canadian monetary policy is to contribute to solid economic performance and rising living standards. The best way we can do this is by keeping inflation low, stable, and predictable. This has important implications for labour market performance.

Changes in technology and regulation have resulted in an increasing number of trading venues in equity markets in Canada. New trading platforms have intensified price competition and have encouraged innovation, and they do not appear to have segmented trade. But the increasingly complex market structure has necessitated investments in expensive technology and has introduced new operational risks. Regulatory responses should be carefully adapted to retain the competition and innovation associated with this market fragmentation.

The Governing Council judges that the risks to the Canadian financial system have decreased somewhat relative to the December FSR, but that the overall level of risk remains high. The key risks are similar to those highlighted in December, and emanate primarily from the external environment.

The year that just passed posed many challenges for all Canadians. The slowdown in the global economy became more pronounced as the year went on, and this affected households, businesses, and governments alike. The tragedy of 11 September compounded the economic difficulties and issues facing us all. Through this period of rapidly changing circumstances, the Bank met its responsibilities by responding quickly and vigorously to events in order to underpin confidence and support the economy.

We revisit an old question: how do financial constraints affect the transmission of monetary policy to the real economy? To answer this question, we propose a simple empirical strategy that combines firm-level employment and balance sheet data, identified monetary policy shocks and survey data on financing activities.

This paper analyzes the implications of the global financial cycle for conventional and unconventional monetary policies and macroprudential policy in small, open economies such as Canada. The paper starts by summarizing recent work on financial cycles and their growing correlation across borders.

Although the number of job applications has risen, job-finding rates remain relatively unchanged while job-separation rates have significantly declined. Rather than raising the probability of finding a job, we find that a rise in applications raises the probability of finding a good match, as evidenced by the decline in separation rates.

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.

This paper shows that regional disparities in house price growth are more pronounced during house price busts than during booms. To explain this observation we construct a two-region currency union model incorporating a housing sector and extrapolative belief updating regarding house prices. To solve the model, we propose a new method that efficiently handles extrapolative belief updating in a wide class of structural models.