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This article focuses on a quantitative method to identify financial system vulnerabilities, specifically, an imbalance indicator model (IIM) and its application to Canada. An IIM identifies potential vulnerabilities in a financial system by comparing current economic and financial data with data from periods leading up to past episodes of financial stress. It complements other sources of information - including market intelligence and regular monitoring of the economy - that policy-makers use to assess vulnerabilities.

The formulation of monetary policy at the Bank of Canada relies on the analysis of a broad set of economic information. Greater availability of immediate and detailed information would improve real-time economic decision making. Technological advances have provided an opportunity to exploit “big data” - the vast amount of digital data from business transactions, social media and networked computers. Big data can be a complement to traditional information sources, offering fresh insight for the monitoring of economic activity and inflation.

The Bank of Canada maintains regular contact with financial institutions as part of the information-gathering process that feeds into the larger set of information used to arrive at its monetary policy decision. Since 1999, the Bank has been conducting a quarterly survey of the business-lending practices of major Canadian financial institutions. Analysis of the information collected shows that it is correlated with future growth in both credit and business investment. This article focuses on how the survey is conducted and describes the construction of the summary statistics, highlighting the key statistical relationships in the historical survey data.

An effective exchange rate is a measure of the value of a country's currency vis-à-vis the currencies of its most important trading partners. The Bank of Canada has created a new Canadian-dollar effective exchange rate index (CERI) to replace the C-6 index that it currently uses. The CERI uses multilateral trade weights published by the International Monetary Fund and includes the six currencies of countries or economic zones with the largest share of Canada's international trade. As such, it better reflects the recent changes in Canada's trade profile, including the rise in the importance of China and Mexico and the relative decline in importance of Europe and Japan in Canada's international trade. The author describes the methodology and construction of the new index and reviews the advantages it offers over the C-6, particularly the use of multilateral trade weights, the inclusion of trade in services, and the use of more recent trade data.

Although many countries have abandoned monetary targeting in recent decades, monetary aggregates are still useful indicators of future economic activity. Past research has shown that, compared with other monetary aggregates and expressed in real terms, net M1 and gross M1 have traditionally provided superior leading information for output growth.

The issue addressed in this article is the extent to which monetary policy in Canada should respond to asset-price bubbles. The article concludes that maintaining low and stable consumer price inflation is the best contribution that monetary policy can make to promoting economic and financial stability, even when the economy experiences asset-price bubbles. In extreme circumstances—when an asset-price bubble is well identified and likely to have significant costs to the economy when it bursts—monetary policy might better maintain low and stable consumer price inflation by leaning against a particular bubble even though it may mean that inflation deviates temporarily from its target. Such a strategy might reduce the risk that a crash in asset prices could lead to a recession and to inflation markedly below target in the longer run. The circumstances where this strategy is possible will be rare because economists are far from being able to determine consistently and reliably when leaning against a particular bubble is likely to do more harm than good. Housing-price bubbles should be a greater concern for Canadian monetary policy than equity-price bubbles, since rising housing prices are more likely to reflect excessively easy domestic credit conditions than are equity prices, which are largely determined in global markets.

This article outlines one of the Bank's key approaches to dealing with the uncertainty that surrounds decisions on monetary policy: the consideration of a wide range of information from a variety of sources. More specifically, it describes the information and analysis that the monetary policy decision-makers—the Governing Council of the Bank of Canada—receive in the two or three weeks leading up to a decision on the setting of the policy rate—the target overnight interest rate. The article also describes how the Governing Council reaches this decision.

In this article, the authors identify forward rate agreements, or FRAs, as short-term interest rate guarantee instruments negotiated by two parties, one of which is typically a bank. In outlining the main features of FRAs, the authors contrast them with BAX contracts (futures contracts on bankers' acceptances that are negotiated through the Montreal Exchange). The article then describes how market participants use FRAs to cover short-term interest rate risk. The final section deals with the way the Bank of Canada uses information from the FRA market as an indicator of interest rate expectations. Econometric models used to retrieve information from FRA rates, as well as the underlying assumptions, are discussed in an appendix.

The spread between long-term and short-term interest rates has proven to be an excellent predictor of changes of economic activity in Canada. As a general rule, when long-term interest rates have been much above short-term rates, strong increases in output have followed within about a year; however, whenever the yield curve has been inverted for any extended period of time, a recession has followed. Similar findings exist for other countries, including the United States. But although Canadian and U.S. interest rates generally move quite closely together, the Canadian yield curve has been distinctly better at predicting future Canadian output. The explanation given for this result is that the term spread has reflected both current monetary conditions, which affect short-term interest rates, and expected real returns on investment and expectations of inflation, which are the main determinants of long-term rates. This article is mainly a summary of econometric work done at the Bank. It also touches on some of the extensive recent literature in this area.