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This supervisory policy describes the Bank of Canada’s process to conduct reviews, as set out in the Retail Payment Activities Act (a “prescribed review”), and outlines what individuals, entities and payment service providers should expect if they request a prescribed review of a retail payments supervision decision.

This paper explores how the Canadian futures market contributed to banks’ systemic risk during the 2008 financial crisis. It finds that core banks as a whole traded against the periphery, in this way increasing their risk of simultaneous losses.

We demonstrate the ability of reinforcement learning techniques to estimate the best-response functions of banks participating in high-value payments systems—a real-world strategic game of incomplete information.

Senior Deputy Governor Carolyn A. Wilkins discusses what the economy will need once we’re past the COVID-19 crisis.

While climate change was largely tackled by government policies in the past, central banks are increasingly grappling with the risks climate change poses. They are evaluating their operational policies to reflect these risks and the transition to a net-zero economy. This paper explores the trade-offs and considerations central banks face.

Flood, Morin, and Kolet examine the role of house prices in household consumption decisions. Considering a group of advanced economies, the authors find that the strength of the link between house prices and consumer spending depends on the institutional features of national mortgage markets.

Would a shift in trading in fixed-income markets—from over the counter (bilateral trading) to a centralized electronic platform—improve welfare? We use trade-level data on the secondary market for Government of Canada debt to answer this question.

We analyze Canadian data from the Bank of Canada’s Business Leaders’ Pulse, examining firms’ sales growth expectations. We find that expected growth predicts outcomes, uncertainty influences forecast errors and revisions, and firms with weak past performance anticipate and experience weaker future growth. These results highlight the survey’s value for understanding business expectations.

We explore the idea that the financial sector can be a source of non-fundamental risk to the rest of the economy. We also consider whether policy can be used to reduce this risk—either by increasing the supply of publicly backed safe assets or by reducing the demand for safe assets.

Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo.