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This paper studies how a central bank should design a CBDC when private payment providers collect and monetize transaction data. It characterizes the optimal CBDC’s pricing and data policy, and shows how its effects on private payment use and total data depend on market power and data externalities.

As interest in tokenization grows, so too does the focus on the design of tokenized systems. Different approaches—such as centralized or decentralized systems—could achieve similar outcomes. But the choice of design involves consequential trade-offs that shape how the entire ecosystem evolves.

Tokenization involves representing traditional assets as tokens on a digital platform. This financial innovation has the potential to reshape money and markets, but a common approach for comparing system designs and weighing efficiency gains against risks has yet to be defined. We offer such an approach to improve understanding of this expanding technology and guide policy discussions.

The Standing Liquidity Facility (SLF) is one of the Bank of Canada’s least discussed tools—and one of its most important. Embedded directly in Canada’s high value payment system, Lynx, the SLF operates quietly in the background every business day, ensuring the smooth settlement of payments and reinforcing the implementation of monetary policy.

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.

This paper develops a general equilibrium model to assess central bank digital currency (CBDC) design in a monetary system where traditional banks and “crypto banks” (i.e., banks that issue stablecoins) coexist. We compare tokenized and non-tokenized CBDC, showing that their desirability depends on the reliability of private money provision, the availability of collateral assets and the features of the crypto sector.

DeFi lending with proper governance is operationally viable, but it also faces constraints related to capital efficiency, liquidation risk, and systemic fragility within the crypto ecosystem.

We study the competition between a welfare-maximizing public payment platform (e.g., CBDC or fast payment system) and a profit-maximizing private platform in a two-sided market, deriving optimal public pricing and showing how network effects, fragmentation, and policy mandates like zero fees or cost recovery shape welfare, usage, and fee incidence.

Project Samara was a real‑world experiment testing distributed ledger technology and wholesale central bank digital money for bond issuance and settlement in Canada. It demonstrated technical feasibility and potential efficiency and risk‑reduction benefits, while highlighting important trade‑offs related to complexity, governance, and regulatory alignment.

We use a randomization of question placement in surveys to estimate the causal effect on financial literacy results. We find that financial literacy questions placed at the end of a survey lead to a drop in financial literacy of 5%–15%. This research suggests a measure of financial literacy adapted for survey length.