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Inflation-targeting frameworks have remained relatively stable over the past few years despite significant challenges, including prolonged low inflation, a large negative commodity price shock and rising financial stability concerns in some economies. The tools used by central banks have, however, evolved substantially. This article provides a survey of the developments in the inflation-targeting frameworks of 10 central banks in advanced economies that correspond to the three research areas of the Bank of Canada’s 2016 renewal: the level of the inflation target, the measurement of core inflation and financial stability considerations in the formulation of monetary policy.

The current monetary policy framework of the Fed intends to be more ’inclusive’ by running the economy hot for longer during expansions.

Natural disasters occur more often than before, potentially exposing households to financial distress. We study the intersection between household financial vulnerabilities and severe weather events.

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.

This note presents the annual update of Bank of Canada staff estimates for growth in global potential output. These estimates serve as key inputs to the analysis supporting the April 2024 Monetary Policy Report.

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Promissory Notes

The notes featured on the cover measure approximately 21 cm x 8 cm and form part of the National Currency Collection, Bank of Canada.

Photography by Gord Carter, Ottawa

Central banks can implement unconventional monetary policy measures to provide additional easing when policy interest rates come close to their lower limit. To date, the international experience with tools such as quantitative easing and negative interest rates has been largely positive. Central banks may also use several such measures simultaneously, with often mutually reinforcing effects. Yet, unconventional tools are also subject to potential limits, and the costs associated with these measures could rise with extensive and prolonged use.

This paper studies the period in Canada when both private bank notes and government-issued notes (Dominion notes) were simultaneously in circulation. Because both of these notes shared many of the characteristics of today's digital currencies, the experience with these notes can be used to draw lessons about how digital currencies might perform.

Using an exclusive data set of payment times for retail transactions made in Canada, I show that cash is the most time-efficient method of payment (MOP) when compared with payments by debit and credit cards. I model payment efficiency using Cox proportional hazard models, accounting for consumer choice of MOP.