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This special issue, “Real-Financial Linkages,” examines the Bank’s research using theoretical and empirical models to improve its understanding of the linkages between financial and macroeconomic developments in the wake of the recent global financial crisis.

These past few months have been busy for central bankers, to say the least, and the past few days are certainly no exception. While developments on Wall Street have garnered much attention, the cost of living has also been an issue for us all, whether we're buying gas at the pumps, booking an airline ticket, or just picking up a loaf of bread at the grocery store.

Initial coin offerings (ICOs) are a new mode of financing start-ups that saw an explosion in popularity in 2017 but declined in popularity in the second half of 2018 as regulatory pressure, instances of fraud and reports of poor performance began to undermine their reputation.

This paper examines the relationship between volatility shocks and preference shocks in an analytically tractable endogenous growth model with recursive preferences and stochastic volatility. I show that there exists an explicit mapping between volatility shocks and preference shocks, and a rise in volatility generates the same impulse responses of macroeconomic aggregates as a negative preference shock.

We show that changes in sentiment that aren’t related to fundamentals can drive persistent macroeconomic fluctuations even when all economic agents are rational. Changes in sentiment can also affect how fundamental shocks affect macroeconomic outcomes.

In this paper, we analyze the presence of time variation in the pass-through from the nominal effective exchange rate to import prices for 24 advanced economies over the period 1995–2015. In line with earlier studies in the literature, we find substantial heterogeneity in the level of exchange rate pass-through across countries.

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.

Interconnectedness among insurers and reinsurers at a global level is not well understood and may pose a significant risk to the sector, with implications for the macroeconomy. Models of the complex interactions among reinsurers and with other participants in the financial system and the real economy are at a very early stage of development.

We present the annual update of the Bank of Canada staff estimates for global potential output growth. These estimates served as key inputs to the analysis supporting the April 2026 Monetary Policy Report.

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.