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We explain how the Bank of Canada’s policy models capture the trade-off between output and inflation in Canada. We provide new estimates of the trade-off and contrast them with those in the Bank’s macroeconomic models.

The objective of this paper is twofold. First, we assess whether financial education might be a suitable tool to promote the financial inclusion opportunities that big techs provide. Second, we study how this potential financial inclusion could impact financial stability.

The financial crisis of 2007-09 and the subsequent extended period of historically low real interest rates have revived the question of whether economic agents are willing to take on more risk when interest rates remain low for a prolonged time period. This increased appetite for risk, which causes economic agents to search for investment assets and strategies that generate higher investment returns, has been called the risk-taking channel of monetary policy. Recent academic research on banks suggests that lending policies in times of low interest rates can be consistent with the existence of a risk-taking channel of monetary policy in Europe, South America, the United States and Canada. Specifically, studies find that the terms of loans to risky borrowers become less stringent in periods of low interest rates. This risk-taking channel may amplify the effects of traditional transmission mechanisms, resulting in the creation of excessive credit.

From 2011 to 2019, inflation in Canada and advanced economies usually registered below inflation targets, spurring the debate on whether the inflation process has changed. This paper highlights emerging questions that will influence the conduct of monetary policy in Canada in the near term.

Feedback rules are rules aimed at guiding policy-makers as they face the problem of keeping inflation close to a desired path without causing variability elsewhere in the economy. These rules link short-term interest rates, controlled by the central bank, to the rate of inflation and/or its deviation from a target rate. The authors describe the most popular types of feedback rules and review some simulation results.

Understanding what causes the exchange rate to move has been on ongoing challenge for economists. Despite extensive research, traditional macro models of exchange rate determination—with the exception of the Bank of Canada's exchange rate equation—have typically not fared well, motivating economists to explore new ways to model exchange rate movements that incorporate more complex and realistic settings. Within the context of the sharp appreciation of the Canadian dollar in 2003 and 2004, Bailliu and King review the macroeconomic models of exchange rates, as well as the micro-structure studies that highlight the importance of trading mechanisms, information asymmetry, and investor heterogeneity for explaining short-term dynamics in exchange rates. In addition to summarizing the current state of knowledge, they highlight recent advances and identify promising alternative approaches.

Cash is the preferred method of payment for small value transactions generally less than $25. We provide insight to this finding with a new theoretical model that characterizes and compares consumers’ costs of paying with cash to paying with cards for each transaction.

Access to information about the future direction of the exchange rate can be extremely valuable in the foreign exchange market. Evidence presented in this article suggests that Canadian dealers are more likely to provide interday liquidity to foreign, rather than Canadian, financial customers, since foreign financial flows can be more informative about future movements in the exchange rate. The author reveals a statistical relationship between the supply of liquidity provided by non-financial firms and that provided by dealing institutions across time, and across markets, and suggests that the relationship between the positions of commercial clients and market-makers, and the role played by dealers in interday liquidity provision, has been understated in the market microstructure literature.

In its role as fiscal agent to the government, the Bank of Canada provides analysis and advice on decisions about the government's domestic debt portfolio. Debt-management decisions depend on assumptions about future interest rates, macroeconomic outcomes, and fiscal policy, yet when a debt-strategy decision is taken, none of these factors can be known with certainty. Moreover, the government has various financing options (i.e., treasury bills, nominal bonds, and inflation-linked bonds) to meet its objectives of minimizing debt-service charges while simultaneously ensuring a prudent risk profile and well-functioning government securities markets. Bank of Canada staff have therefore developed a mathematical model to assist in the decision-making process. This article describes the key aspects of the debt manager's challenge and the principal assumptions incorporated in the debt-strategy model, illustrated with specific results.