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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.

Walsh's paper highlights many useful lessons that can be learned from the conventional framework and its various extensions. However, the financial crisis provides a stark and costly reminder of just how incomplete the standard model is.

This paper studies the business model choice between running a cash platform and a token platform, as well as its welfare and policy implications.

We create a theoretical model of central bank asset purchases. The model helps explain how, in a crisis, these purchases ease pressures on investment dealers.

Should monetary policy lean against housing market booms? We approach this question using a small-scale, regime-switching New Keynesian model, where housing market crashes arrive with a logit probability that depends on the level of household debt.

This article examines another strategy in the Bank's approach to dealing with an uncertain world: the use of carefully articulated models to produce economic forecasts and to examine the implications of the various risks to those forecasts. Economic models are deliberate simplifications of a complex world that allow economists to make predictions that are reasonably accurate and that can be easily understood and communicated. By using several models, based on competing paradigms, the Bank minimizes policy errors that could result from relying on one view of the world and one philosophy of model design. The authors review some of the models currently used at the Bank, as well as the role of judgment in the projection process.

Recent evidence suggests that the extent of downward nominal wage rigidity (DNWR) in the Canadian labour market has risen following the 2008–09 recession (see Brouillette, Kostyshyna and Kyui 2016).

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.

As the Government of Canada’s fiscal agent, the Bank of Canada provides strategic policy advice on the management of the government’s debt, in addition to being responsible for conducting debt-management operations. In this article, the authors review the evolution of the debt strategy over the past 20 years and outline the complex process of developing a sound strategy that balances various cost and risk considerations. This includes an examination of the tools and practices used to develop the new medium-term debt-management strategy, such as the modelling approach involved, market consultations and various debt-management metrics.

We present a policy framework for electronic money and payments. The framework poses a set of positive questions related to the areas of responsibility of central banks: payments systems, monetary policy and financial stability. The questions are posed to four broad forms of e-money: privately or publicly issued, and with centralized or decentralized verification of transactions. This framework is intended to help evaluate the trade-offs that central banks face in the decision to issue new forms of e-money.