Search

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.

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.

Combining various high frequency financial data with central bank projections, I construct a new measure of monetary policy shocks not predictable by the public information preceding a central bank’s announcements. I then study the causal effects of monetary policy on the macro economy.

This paper studies how the allocation of residual losses affects trading and welfare in a central counterparty. I compare loss sharing under two loss-allocation mechanisms – variation margin haircutting and cash calls – and study the privately and socially optimal degree of loss sharing.

This paper estimates a three‐frequency dynamic factor model for nowcasting Canadian provincial gross domestic product (GDP). Canadian provincial GDP is released by Statistics Canada on an annual basis only, with a significant lag (11 months).

While greater global financial integration is beneficial, the authors discuss how foreign capital inflows can also facilitate the buildup of domestic vulnerabilities and potentially lead to destabilizing reversals. Canada’s current international investment position is typical of advanced economies and will likely continue to act as an economic stabilizer. However, the growth and composition of Canada’s international investment position warrant continued monitoring.

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.

We construct new indicators of demand and supply for the Canadian economy by using natural language processing techniques to analyze earnings calls of publicly listed firms. Our results indicate that the new indicators could help central banks identify inflationary pressures in real time.