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In this note, we present the Commodities Factor Model (CFM), a dynamic factor model for a large cross-section of energy and non-energy commodity prices. The model decomposes price changes in commodities into a common “global” component, a “block” component confined to subgroups of economically related commodities and an idiosyncratic price shock component.

This survey took place between April 28 and May 13, 2022. Follow-up interviews took place in June. Consumers’ expectations for inflation have risen, alongside concerns about prices for food, gas and rent. Short-term expectations are at record-high levels. Long-term inflation expectations increased significantly in the second quarter of 2022, returning to the levels they were at before the COVID-19 pandemic. Most people believe the Bank of Canada can achieve its inflation target. However, some think the process of bringing inflation down will be difficult for the Bank of Canada. Expectations for higher inflation and rising interest rates weigh on consumer confidence. People expect that credit conditions will worsen and wage growth will not keep up with inflation. Flexible work arrangements could attract more people into the labour force.

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.

Current turbulence in Europe is a reminder that the crisis is not over, but has merely entered a new phase. In a world awash with debt, repairing the balance sheets of banks, households and countries will take years.

As the title of the conference suggests, we have seen many boom-and-bust cycles in the commodity sector. This raises one obvious and central question: How can we avoid them in the future?

Currency crises in the 1990s, especially those in emerging markets, have sharply disrupted economic activity, affecting not only the country experiencing the crisis, but also those with trade, investment, and geographic links. The authors review the theoretical literature and empirical evidence regarding these crises. They conclude that their primary cause is a fixed nominal exchange rate combined with macroeconomic imbalances, such as current account or fiscal deficits, that the market perceives as unsustainable at the prevailing real exchange rate. They also conclude that currency crises can be prevented through the adoption of sound monetary and fiscal policies, effective regulation and supervision of the financial sector, and a more flexible nominal exchange rate.

This paper looks at the role mortgage brokers play in helping borrowers generate quotes and qualify for credit. We find that, on average, borrowers that engage with a mortgage broker pay lower interest rates. However, in about 15% of cases, borrowers are steered towards longer amortizing mortgages than they would have chosen absent a broker. Since mortgages with longer amortization have higher total interest costs over the entire life of the mortgage, this steering is expensive.

Stress testing is an important tool used by financial authorities and entities around the world to evaluate potential risks to the financial system. Kartik Anand, Guillaume Bédard-Pagé and Virginie Traclet discuss different stress-testing approaches, with emphasis on the innovative and analytically rigorous model developed by the Bank of Canada: the MacroFinancial Risk Assessment Framework (MFRAF). They also present the stress-test results obtained in the context of the 2013 Canada Financial Sector Assessment Program led by the International Monetary Fund, including the important contributions made by the use of MFRAF in the exercise.

The Bank of Canada recently launched a quarterly survey to measure the expectations of Canadian households: the Canadian Survey of Consumer Expectations (CSCE). The data collected provide comprehensive information about consumer expectations for and uncertainty about inflation, the labour market and household finance. This article describes the CSCE and illustrates its potential to offer rich information about Canadian consumers for researchers and policy-makers.

This technical report describes sampling, weighting and variance estimation for the Bank of Canada’s 2017 Methods-of-Payment Survey. Under quota sampling, a raking ratio method is implemented to generate weights with both post-stratification and nonparametric nonresponse weight adjustments.