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The Bank of Canada’s annual economic conference, held in October 2012, brought together experts from across Canada and around the world to discuss key issues concerning financial intermediation and vulnerabilities. The conference covered such topics as household finances and their relationship to financial stability, as well as bank regulation, securitization and shadow banking.

This article describes the Bank of Canada’s version of the Global Economy Model structured to incorporate an active banking system that features an interbank market and cross-border lending. After describing the new model, the authors use it to examine the responses of selected U.S. and Canadian macroeconomic variables to a “credit crunch” in the United States and also to study the impact of changes in the regulatory limits to bank leverage in Canada. They also discuss the relative merits of a monetary policy framework based on inflation targeting and one based on price-level targeting in the presence of shocks to the U.S. and Canadian banking sectors.

The results of our 2017 Bitcoin Omnibus Survey (December 12 to 15, 2017) when compared with those from 2016 show that Bitcoin “awareness” increased from 64 to 85 per cent, while ownership increased from 2.9 to 5.0 per cent. Most Bitcoin purchasers are using the cryptocurrency as an investment and not as a means of payment for goods or services.

The third strategy employed by the Bank when dealing with uncertainty is the consideration of appropriate simple reaction functions or "rules" for the setting of the policy interest rate. Since John Taylor's presentation of his much-discussed rule, research on simple policy rules has exploded. Simple rules have several advantages. In particular, they are easy to construct and communicate and are believed by some to be robust, in the sense of generating good results in a variety of economic models. This article provides an overview of the recent research regarding the usefulness and robustness of simple monetary policy rules, particularly in models of the Canadian economy. It also describes and explains the role of simple rules in the conduct of monetary policy in Canada.

A series of major international financial crises in the 1990s, and the recent introduction of the euro, have renewed interest in alternative exchange rate systems. The choice of exchange rate regime is particularly relevant for emerging-market countries because other countries are perceived either as having no alternative to their current exchange rate arrangement or as highly unlikely to change. This article examines the evolution of exchange rate regimes in emerging markets over the past decade and compares the strengths and weaknesses of the various available systems. These include intermediate regimes, such as the adjustable pegged exchange rate popular throughout much of the post—war period, and the two extreme exchange rate regimes: permanently fixed or freely floating exchange rate regimes. Two recently proposed alternatives are also evaluated: the Managed Floating Plus and Baskets, Bands, and Crawling Pegs. Both try to combine the best elements of the flexible and fixed exchange rate systems, but the Managed Floating Plus is deemed to be the more promising alternative.

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.

Can artificial intelligence (AI) think and act like a cash manager? In this paper we explore how generative AI agents can help manage liquidity, prioritize payments and optimize efficiency in real-time gross settlement systems.

We use controlled laboratory experiments to test the causal effects of central bank communication on economic expectations and to distinguish the underlying mechanisms of those effects. In an experiment where subjects learn to forecast economic variables, we find that central bank communication has a stabilizing effect on individual and aggregate outcomes and that the size of the effect varies with the type of communication.