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Because commodity prices help determine Canada’s terms of trade, employment, income and, ultimately, inflation, it is important to understand what causes them to fluctuate. Since the early 1900s, there have been four commodity price supercycles—which we define as extended periods of boom and bust that can take decades to complete. Now in its downswing phase, the current supercycle started after growth in China and other emerging-market economies in the mid-1990s resulted in an unexpected demand shock. The extent of this downswing depends on numerous factors that are presently uncertain.

Uncertainty surrounding the Bank of Canada’s future policy rates is measured using implied volatility computed from interest rate options and realized volatility computed from intraday prices of interest rate futures. Both volatility measures show that uncertainty decreased following major policy actions taken by the Bank in response to the 2007–09 financial crisis. Findings also indicate that, on average, uncertainty decreases following the Bank’s policy rate announcements.

We investigate whether hedge funds contributed to Government of Canada bond market illiquidity at the onset of the Middle East war in early 2026. We find no evidence they did. Hedge funds remained active in primary auctions, while their secondary market trading remained broadly consistent with their usual relative-value strategies.

We add downward nominal wage rigidity to a standard New Keynesian model with sticky prices and wages, where the zero lower bound on nominal interest rates is allowed to bind. We find that wage rigidity not only reduces the frequency of zero bound episodes but also mitigates the severity of corresponding recessions.

We analyze factors that may explain consistent answers to questions about inflation expectations in the Canadian Survey of Consumer Expectations. We also compare the inflation forecasts of consumers with consistent responses with those of professional forecasters.

Derivatives exchanges often determine collateral requirements, which are fundamental to market safety, with dated risk models assuming normal returns. However, derivatives returns are heavy-tailed, which leads to the systematic under-collection of collateral (margin). This paper uses extreme value theory (EVT) to evaluate the cost of this margin inadequacy to market participants in the event of default.

ToTEM III is the most recent generation of the Bank of Canada’s main dynamic stochastic general equilibrium model for projection and policy analysis. The model helps Bank staff tell clear and coherent stories about the Canadian economy’s current state and future evolution.

Consumers, businesses and banks make millions of payments each day using a variety of instruments, such as debit cards, cheques and wires. Canada is currently developing three new systems to process these transactions: Lynx, Settlement Optimization Engine (SOE) and Real-Time Rail (RTR).