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Using proprietary FXC Intelligence data on quoted prices for Canadian business-to-business cross-border payments, this note finds that banks charge firms around 2–3.5% of transaction value. Prices vary considerably across banks for the same corridor, transaction amount, and year.

Setting the target rate is the most visible part of monetary policy, but the monetary policy implementation framework is what helps ensure that decision is reflected in financial markets. Through the design and use of its tools and facilities, the Bank of Canada helps keep short-term market interest rates close to the policy target, while preserving incentives for market participants to trade and actively manage liquidity.

Building on our earlier quantum algorithm, this paper shows that reordering queued payments can significantly reduce liquidity needs. The algorithm performs well on smaller payment batches, while traditional algorithms can process larger batches and deliver greater savings. Machine learning also helps identify which payment patterns offer the greatest potential for improvement.

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.

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 explore how many electronic funds transfer (EFT) systems can viably coexist within a jurisdiction at efficient scale by estimating the cost curve of the average EFT. We estimate the marginal cost to be approximately $0.55 per transaction, and the fixed cost to be approximately $83 million per year.

Can artificial intelligence (AI) think and act like a cash manager? In this paper we explore how generative AI agents can help manage liquidity, prioritize payments and optimize efficiency in real-time gross settlement systems.

We study how participants in the Lynx payment system use the net send limit (NSL) tool to control their intraday payment outflow levels. Our results show that participants typically adopt a “set it and forget it” approach to scheduling NSLs and sometimes have distinct intraday NSL adjustment behaviours.

We study consumer cash inventory behavior by developing a dynamic model of forward-looking consumers and estimating structural parameters of the model using detailed consumer survey data. Consumers facing holding and withdrawal costs solve a discrete-time continuous-control dynamic programming problem to optimally use cash at the point of sale.