Search

Understanding how much of the increased debt load of Canadian households has been used to finance household spending on consumption and home renovation is important for the conduct of monetary policy. In this article, the authors use a comprehensive data set that provides information on the uses of debt by Canadian households. They first present some facts regarding the evolution of Canadian household debt over the period from 1999 to 2010, emphasizing the increased importance of debt flows that are secured by housing. They then explore how Canadian households have used their borrowed funds over the same period, and assess the role of these borrowed funds in financing total consumption and spending on home renovation. Finally, they examine the possible effects of a decline in house prices on consumption when housing equity is used as collateral against household indebtedness.

An anonymous token-based central bank digital currency (CBDC) would pose certain security risks to users. These risks arise from how balances are aggregated, from their transactional use and from the competition between suppliers of aggregation solutions.

As economic slack continues to be absorbed and the labour market tightens, wage growth and inflation could increase faster than expected, which would suggest convexity in their Phillips curves. This note investigates whether there is convexity in the Phillips curves for Canadian wage growth and inflation by testing different empirical approaches over the post-inflation-targeting period.

Extreme weather events contribute to increased volatility in both economic activity and prices, interfering with the assessment of the true underlying trends of the economy. With this in mind, we conduct a timely assessment of the impact of natural disasters on Canadian gross domestic product (GDP).

Occupations held by females with mid-level education face the highest risk of accelerated automation as a result of the COVID-19 pandemic.

Business investment has been lower than expected in Canada and abroad since the financial crisis of 2007–09. This corporate investment gap is mirrored in firms’ other financing decisions, as they have increased cash holdings and dividend payments and decreased issuance of debt and equity.

Over the past 20 years, there has been a major shift away from the use of paper-based retail payment instruments, such as cash and cheques, toward electronic means of payment, such as debit cards and credit cards. Recent Bank of Canada research on consumers’ choice of payment instruments indicates that cash is frequently used for transactions with low values because of its speed, ease of use and wide acceptance, while debit and credit cards are more commonly used for transactions with higher values because of perceived attributes such as safety and record keeping. While innovations in retail payments currently being introduced into the Canadian marketplace could lead to a further reduction in the use of cash over the longer term, the implications for the use of cash of some of the structural and regulatory developments under way are less clear.

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.

In this note, I use two multivariate frequency filtering approaches to characterize the Canadian financial cycle by capturing fluctuations in the underlying variables with respect to a long-term trend. The first approach is a dynamically weighted composite, and the second is a stochastic cycle model.