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To what extent does a central bank digital currency (CBDC) compete with bank deposits? To answer this question, we develop and estimate a structural model where each household chooses which financial institution to deposit their digital money with.

This volume explores money and the role it has played, and continues to play, in society, through the lens of Canada's National Currency Collection. The Collection is an extraordinary repository of coins, bank notes, and related paraphernalia from around the world. Soft cover, 124 pages (2008).

We develop a heterogeneous-agent New Keynesian model featuring a frictional labor market with on-the-job search to quantitatively study the positive and normative implications of employer-to-employer transitions for inflation.

This paper studies non-parametric combinations of density forecasts. We introduce a regression tree-based approach that allows combination weights to vary on the features of the densities, time-trends or economic indicators. In two empirical applications, we show the benefits of this approach in terms of improved forecast accuracy and interpretability.

We examine the impact of the 2009 amendments to the Canadian Bankruptcy and Insolvency Act on insolvency decisions. Rule changes steered debtors out of division I proposals and into the more cost-effective division II proposals.

Equilibrium bond-pricing models rely on inflation being bad news for future growth to generate upward-sloping nominal yield curves. We develop a model that can generate upward-sloping nominal and real yield curves by instead using ambiguity about inflation and growth.

Severe disruptions in the financial markets, as observed during the 2008 global financial crisis or the COVID-19 pandemic, can impair the stability of the entire financial system and worsen macroeconomic downturns.

Innovations in basic information technologies, in payment applications, and in the availability of global markets, as well as substantial changes in financial sector policy, have fundamentally changed how the retail payments system in Canada operates. Principally, the volume and types of electronic payments have grown, and there is increased participation by diverse groups of financial and non-financial institutions as providers of retail payment services. The resulting policy problem for payment systems is how best to benefit from efficiency gains while managing payment risks. O'Connor examines the effect of the technological and legislative changes and the initiatives developed by the public and private sectors in such areas as the market arrangements for services; customer risks and costs for settling large-value retail payments; the security of payment information and the efficiency with which it is transmitted; and the effects of differing regulatory regimes on competition among providers of retail payment services.

Views in the economic literature on the main factors that influence exchange rates have evolved over time in response to economic developments and new trends in economic theory. This article provides a brief interpretative survey of the main theories of exchange rate determination. The factors that influence exchange rate developments are varied and complex. However, the authors show that the broad movements of the Canada-U.S. real exchange rate since the early 1970s can be captured by a simple equation that highlights the role of commodity prices and Canada-U.S. interest rate differentials. The equation is used to interpret the evolution of the real exchange rate over the last two decades. At times, the real exchange rate deviates significantly from what the equation would predict. One explanation is that the equation omits certain factors that can influence the exchange rate, particularly in the short run. These may include fiscal policy variables, international indebtedness, political uncertainty, and investor sentiments—factors that are difficult to quantify but that have been particularly relevant in recent years.

This paper reviews how central banks are integrating non traditional data and artificial intelligence (AI) into policy analysis and operations. Using the Bank of Canada’s experience, it examines emerging applications, governance challenges, and strategic choices for responsibly scaling AI to enhance insight, efficiency, and institutional resilience.