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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.

A well-functioning monetary system is characterized by public and private forms of money that exchange at par as value flows freely between them. A relevant retail public money—whether in the form of cash, a central bank digital currency or both—is a necessary component of such a monetary system.

We present a two-stage model of mobile phone and mobile payment usage that controls for selectivity. This reveals unobserved factors that work against having a mobile phone and toward mobile paying. Therefore, people who are unable to acquire or choose not to own a mobile device might have unmet payment needs.

Oracles are constructs used in decentralized finance to price assets relative to each other. However, oracles contain defects that could lead to manipulation attacks. Such attacks exploit pricing models embedded within oracles to defraud creators and users. We automatically verify defects, which if mitigated, improves the security of digital currency.

We present key results from the 2023 Methods-of-Payment Survey. Results show that measures of cash management and use have remained stable since 2020, and that Canadians increased their adoption of payment alternatives such as mobile apps in 2023.

This study uses the COVID-19 travel restrictions to estimate foreign demand for Canadian banknotes. It reveals that international visitors accounted for about 10% of all $100 CAD notes in circulation pre-pandemic, with each visitor carrying an average of $165 in hundred-dollar bills.

We develop a model that links investors’ decisions to enter or exit the Bitcoin market with their beliefs about the survival of Bitcoin. Empirical testing using Canadian data reveals that beliefs strongly influence both entries and exits, and this impact varies with time and ownership status.

We build a network formation game of firms with trade flows to study the adoption and usage of a new digital currency as an alternative to correspondent banking.

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.

The Bank of Canada’s Merchant Acceptance Survey finds that 96% of small and medium-sized businesses in Canada accepted cash in 2023. Acceptance of debit and credit cards has increased to 89%, and acceptance of digital payments has also increased. However, Canada is far from being a cashless society.