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In Monitoring Shadow Banking in Canada: A Hybrid Approach, Bo Young Chang, Michael Januska, Gitanjali Kumar and André Usche discuss how lending that occurs outside the traditional banking system provides benefits to the economy but must be monitored carefully for potential financial sector vulnerabilities. They describe how the Bank defines and measures shadow banking and how it assesses vulnerabilities in the sector, using an approach that examines both markets and entities.

We measure how the change in the share of constrained households in Canada following the COVID-19 recession has impacted the effectiveness of monetary policy.

How can we assess the quality of a forecast? We propose a new benchmark to evaluate forecasts of temporally aggregated series and show that the real price of oil is more difficult to predict than we thought.

Recently, the Bank of Canada has estimated the effective lower bound (ELB) on its policy interest rate to be about -50 basis points. This article outlines the analysis that underpins that estimate by quantifying the costs of storing and using cash in Canada. It also explores how some international markets have adapted to negative interest rates, issues surrounding their implementation, as well as their transmission to other interest rates in the economy. Finally, it discusses theoretical ideas on how the ELB could be reduced further.

This paper develops a stress-testing framework in which banks strategically adjust their balance sheets in response to regulatory constraints and market conditions. Applied to Canada’s largest banks, it quantifies the effects of macroprudential policies on lending and identifies systemic vulnerabilities through reverse stress testing.

We forecast recessions in Canada using an autoregressive (AR) probit model. The results highlight the short-term predictive power of the US economic activity and suggest that financial indicators are reliable predictors of Canadian recessions. In addition, the suggested model meaningfully improves the ability to forecast Canadian recessions, relative to a variety of probit models proposed in the Canadian literature.

Did supply disruptions and cost pressures play a role in rising inflation in 2020 during the COVID-19 pandemic? Using data collected from websites of large retailers in multiple sectors and countries, we show that shortages may indicate transitory inflationary pressures.

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.

In our analysis of the US productivity slowdown in the 1970s and 2000s, we find that a significant portion of this deceleration can be attributed to a lack of improvement in allocative efficiency across sectors. Our analysis further identifies increased sector-level volatility as a major contributor to this lack of improvement in allocative efficiency.

Governor Tiff Macklem discusses how structural change—driven by U.S. protectionism, AI, and slowing population growth—is reshaping Canada’s economy. He outlines the Bank’s role in maintaining low and stable inflation while helping the economy through the transition.