Central bankers argue that programmable digital currencies may compromise the uniformity of money. We develop a stylized model to examine this argument and the trade-offs involved in circulating programmable money.
The Bank of Canada completed its first resolution plan for the Canadian Derivatives and Clearing Corporation (CDCC) in 2024. To estimate the resolution costs, we apply the extreme value theory method to simulate the credit losses that would result from extreme scenarios where multiple clearing members default at the same time.
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.
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.
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.
Executive Director of Payments, Supervision and Oversight Ron Morrow talks about how payments have evolved in Canada and why it’s important to modernize our payment infrastructure.
Ron Morrow, Executive Director of Payments, Supervision and Oversight, talks about the evolution of payments in Canada, as well as the Bank’s new supervisory role for payment service providers.
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.