Search

Stock market fundamentals would not seem to meaningfully predict returns over a shorter-term horizon—instead, I shift focus to severe downside risk (i.e., crashes).

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.

Stephen Murchison reviews the findings of recent Bank of Canada research on the relative merits of inflation targeting and price-level targeting (PLT) for a small open economy, such as Canada's, that is susceptible to large and persistent terms-of-trade shocks.

The use of bank notes in Canada for payments has declined consistently for some time, and similar trends are evident in other countries. This has led some observers to predict a cashless society in the future.

An alternative to the standard CES aggregator, based on non-homothetic household preferences, is proposed. Specifically, the elasticity of substitution between goods declines during periods of strong per-capita consumption and vice versa, giving firms an incentive to adjust their desired markup in response to the state of demand. Empirical evidence favouring a direct role for per-capita consumption demand in inflation determination for Canada is presented.

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.

Bank of Canada Governor Tiff Macklem discusses how artificial intelligence could impact the economy, and outlines some of the implications for monetary policy.

Based on empirical evidence, I propose a dynamic stochastic general equilibrium model with two financial sectors to analyze the role of corporate debt composition (bank versus bond financing) in the transmission of economic shocks.

We analyze monetary policy responses to AI in a two-sector New Keynesian model, distinguishing augmentation and automation. Both reduce labor demand, requiring accommodation that creates inflation trade-offs. Automation worsens them. Aggregate inflation depends on AI’s form and breadth, making policy stabilization more complex and aggregate data potentially misleading.

We find that prices and costs for consumer-oriented firms moved roughly one-for-one during the COVID-19 pandemic. This means firms fully passed rising costs through to the prices they charged. However, our results are suggestive, given data limitations and the uncertainty associated with estimating markups.