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One argument for central bank digital currencies (CBDCs) is that without them, private and foreign digital monies could displace domestic currencies, threatening the central bank’s monetary policy and lender of last resort capabilities. I revisit this monetary sovereignty rationale and offer a wider view—one that considers a broader set of currency functions and captures important cross-country variation.

When a bank holds a lot of safe assets, it is well situated to deal with funding stress. But when all banks hold a lot of safe assets, a pecuniary externality implies that their (wholesale) funding costs increase. This reduces banks’ ability to hold capital buffers and thus, paradoxically, increases the frequency of funding stress.

This article focuses on the role that loans backed by housing collateral play in amplifying housing booms and, more generally, procyclicality in the housing market. The author uses a model developed to include borrower and lender households, as well as a housing market, to examine the impact that altering the loan-to-value ratio (either permanently or countercyclically) might have on the volatility of house prices and mortgage debt.

We present a two-country model featuring risky lending and cross-border interbank market frictions.

This article focuses on a quantitative method to identify financial system vulnerabilities, specifically, an imbalance indicator model (IIM) and its application to Canada. An IIM identifies potential vulnerabilities in a financial system by comparing current economic and financial data with data from periods leading up to past episodes of financial stress. It complements other sources of information - including market intelligence and regular monitoring of the economy - that policy-makers use to assess vulnerabilities.

Examination of how, when the policy interest rate is at or near zero, different monetary policy frameworks might help to lower the risk and economic cost of such a scenario; review of the findings of recent Bank of Canada research on the relative merits of inflation targeting and price-level targeting (PLT) for a small open economy; examination of monetary policy being used to counteract financial imbalances; conference summary: new frontiers in monetary policy design.

This paper estimates a dynamic factor model (DFM) for nowcasting Canadian gross domestic product. The model is estimated with a mix of soft and hard indicators, and it features a high share of international data.

The Bank of Canada’s annual conference, held in October 2010, brought together leading researchers from universities and central banks around the world.

We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.

Deputy Governor Agathe Côté discusses the inflation-targeting framework and issues the Bank is researching in the run-up to the renewal of the framework in 2016.