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We document recent changes in Canadian immigration, marked by an increasing prevalence of temporary residency. Using microdata from Statistics Canada's Labour Force Survey, we show that temporary workers' characteristics and nominal wages have diverged from those of Canadian-born workers.

This paper studies the rapid increase since 2019 of Government of Canada (GoC) debt issuance alongside greater hedge fund participation at GoC bond auctions. We find a systematic relationship between GoC debt stock and hedge fund bidding shares at auction.

A flash loan is a special type of uncollateralized loan with zero default risk. I document the use for flash loans across major blockchains that are Ethereum-Virtual-Machine-compatible. Flash loans expand access to liquidity, and highly sophisticated actors use them for many practical applications.

We consider ways central banks could adapt in the event of an increased risk of a dash for cash from asset managers. We explore ideas such as new facilities that ease asset managers’ ability to convert existing assets to cash or new assets with liquidity that central banks would guarantee.

The Bitcoin Omnibus Survey is an important tool for monitoring Canadians’ awareness and ownership of bitcoin and other cryptoassets over time. In this paper, we present data highlights from the 2023 survey.

We examine how demographic factors influence potential output, focusing on how the age distribution of the working-age population and the old-age dependency ratio affect aggregate productivity. Following Feyrer (2007), we emphasize that the contribution to aggregate productivity varies by age group, with middle-aged individuals (aged 40 to 49) being the most productive.

We find that individuals who require help performing banking tasks or who are reluctant to adopt technology avoid digital payment systems they expect to lack usability. Addressing these issues through standard accessibility practices, live assistance and thoughtful interface design can enhance user interaction and trust.

Privacy-enhancing technologies (PETs) could offer solutions to safeguard end-user privacy and meet rigorous data protection standards for central bank digital currencies. We consider how PETs can transform privacy design in financial systems and the implications of their broader adoption.

We draw on the Canadian experience to examine how monetary and macroprudential policies interact and possibly complement each other in achieving their respective price and financial stability objectives.

The industry standard for seasonally adjusting data, X-13ARIMA-SEATS, is not suitable for high-frequency data. We summarize and assess several of the most popular seasonal adjustment methods for weekly data given the increased availability and promise of non-traditional data at higher frequencies.