In April 2022, the Bank of Canada announced that it would continue to use a floor system to implement monetary policy by providing a sufficiently large quantity of settlement balances to enable the overnight repo rate to trade at close to the deposit rate. In contrast, the Bank's guiding...

This study provides insight into the costs of cash, debit card and credit card payments made at the point of sale in Canada in 2014. For each payment method, it examines the total resource costs, which capture the overall use of resources by society as a whole. Using extensive survey data from...

Providing bank notes is one of the Bank of Canada’s core functions. The Bank is therefore interested in whether cash is adequately distributed across society, and this also influences the Bank’s thinking on issuing a central bank digital currency. We provide a perspective on these issues by...

We use a simple model to study whether private payment systems based on bank deposits can provide the optimal level of safety. In the model, bank deposits backed by projects are subject to default risk that can be mitigated by a depositor's ex ante and ex post monitoring. Safe payment...

This paper uses reinforcement learning (RL) to approximate the policy rules of banks participating in a high-value payments system. The objective of the agents is to learn a policy function for the choice of amount of liquidity provided to the system at the beginning of the day. Individual...

Using data from Canada and the United States, we quantify consumers' net pecuniary cost of using cash, credit cards, and debit cards for purchases across income cohorts. The net cost includes fees paid to financial institutions, rewards received from credit or debit card issuers, and the...

High-value payment systems (HVPSs) are typically liquidity-intensive because the payment requests are indivisible and settled on a gross basis. Finding the right order in which payments should be processed to maximize the liquidity efficiency of these systems is an NP-hard combinatorial...

We propose a flexible machine learning (ML) framework for real-time transaction monitoring in high-value payment systems (HVPS), which are a central piece of a country's financial infrastructure. This framework can be used by system operators and overseers to detect anomalous transactions,...