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Data on the use of government securities in the repo, securities lending and cash markets suggest there are bond market clienteles in Canada. Shorter-term bonds are more prevalent in the repo market, while longer-maturity securities are more active in the securities lending market—consistent with the preferred habitat hypothesis. These results could help design better debt-management strategies and more-effective policies to maintain well-functioning financial markets.

We simulate the impact of a central bank digital currency (CBDC) on consumer adoption, merchant acceptance and use of different payment methods. Modest frictions that deter consumer adoption of a CBDC inhibit its market penetration. Minor pricing responses by financial institutions and payment service providers further reduce the impact of a CBDC.

Options prices are being increasingly employed to extract market expectations and views about monetary policy. In this paper, eurodollar options are monitored to examine the evolution of market sentiment over the possible future values of eurodollar rates. Risk-neutral probability functions are employed to synopsize the information contained in the prices of euro/dollar futures options. Several […]

In recent years, the Bank has put renewed emphasis on analyzing monetary variables and on developing models that incorporate money as an active part of the transmission mechanism. In this article, Dinah Maclean describes how the monetary aggregates are used in the formulation of monetary policy analysis at the Bank, outlining the key tools and models used. The most important money-based model currently in use is the M1-VECM. In this model, deviations in the money supply from the long-term demand for money cause changes in inflation. The author briefly describes the "active-money" paradigm underlying this model and explains the key equations within it. Other simpler empirical models are also outlined, including single-equation indicator models for output based on the narrow aggregates, a neural network, and a model based on the broader aggregate M2++. A detailed technical annex provides details on model equations and coefficient values.

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.

Dynamic general-equilibrium models (DGEMs) are being increasingly used in macroeconomic research. In this article, the author describes the main features of these models and outlines their contribution to economic research performed at the Bank of Canada. He notes that the basic principle of DGEMs is that the modelling of economic activity, even on a scale as large as the economy of a country, should start with a series of microeconomic problems (at the scale of individuals), which, once resolved, are aggregated to represent the macroeconomic reality described by the model.

The author develops and estimates a quantitative dynamic-optimizing model of a small open economy (SOE) with domestic and import price stickiness and capital-adjustment costs. A monetary policy rule allows the central bank to systematically manage the short-term nominal interest rate in response to deviations of inflation, output, and money growth from their steadystate levels.

Foreign investment flows into Government of Canada (GoC) bonds have surged since the financial crisis. Our empirical analysis suggests that foreign flows of $150 billion lowered the 10-year GoC bond yield by 100 basis points between 2009 and 2012.

We examine the macro implications of commodity price shocks in a model with multiple production sectors that are interconnected within a commodity-exporting small open economy.

We identify and quantify fiscal news shocks, compiling events (2001–2023) that altered the expected path of U.S. defense expenditure. For each event, we estimate market-implied shifts in expected spending. A shift-share analysis yields a two-year, metropolitan statistical area–level GDP multiplier of approximately 1 for U.S. military build-ups.