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This note analyzes mortgage stress tests, a macroprudential tool. We find that when mortgage stress tests are applied to all mortgage purchase originations, they improve credit quality and reduce credit and house price growth. They also improve the resilience of borrowers to financial shocks, such as the large increase in interest rates during 2022–23.

In many countries, the cost of housing has greatly outpaced income growth, leading to a housing affordability crisis. Leveraging Canadian loan-level data and quasi-experimental variation in payment-to-income constraints, we document an increasing reliance of first-time homebuyers on financial help from their parents, through mortgage co-signing. We show that parental support can effectively relax borrowing constraints—potentially to riskier borrowers.

We study a government policy that restricts repayment choices with the aim of reducing credit card debt and estimate its effects by applying a difference-in-differences methodology to comprehensive credit-reporting data about Canadian consumers. We find the policy has trade-offs: reducing revolving debt comes at a cost of reducing credit access, and potentially increasing delinquency.

This paper describes the ecology of automated market makers, which are the most popular decentralized exchange model for the pricing and trading of crypto assets within decentralized finance.

In March 2020, the Bank of Canada implemented the Government of Canada Bond Purchase Program, eventually purchasing approximately $340 billion of government bonds. In this paper, we analyze the impact of this program on financial market prices and yields as well as on GDP and inflation.

We study liquidity requirements in a framework with fire sales. The framework nests three common pricing mechanisms and produces the same observables. Absent risk-sharing considerations, the equilibrium is efficient with cash-in-the-market pricing; a liquidity requirement is optimal with second-best-use pricing; and a liquidity ceiling (i.e., a cap on liquid assets) is optimal with adverse selection.

Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems.

Press conference following the release of the Financial Stability Report.

Deputy Governor Toni Gravelle speaks about how the Bank of Canada will manage its balance sheet once quantitative tightening ends.

Deputy Governor Toni Gravelle provides an update on quantitative tightening and talks about how the Bank of Canada will manage its balance sheet once normalization ends.