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This paper quantifies global demand, supply and uncertainty shocks and compares two major global recessions: the 2008–09 Great Recession and the COVID-19 pandemic. We use two alternate approaches to decompose economic shocks: text mining techniques on earnings calls transcripts and a structural Bayesian vector autoregression model.

Deputy Governor Agathe Côté discusses the importance of inflation expectations for monetary policy and a new survey the Bank of Canada created to monitor household expectations.

In this note, I use two multivariate frequency filtering approaches to characterize the Canadian financial cycle by capturing fluctuations in the underlying variables with respect to a long-term trend. The first approach is a dynamically weighted composite, and the second is a stochastic cycle model.

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.

Macroeconomic projections and risk analyses play an important role in guiding monetary policy decisions. Models are integral to this process. This paper discusses how the Bank of Canada brings research models and lessons learned from those models into the central bank projection environment.

This paper analyzes the optimal quantity of central bank reserves in an economy where reserves and other financial assets provide liquidity benefits. Using a static model, I derive a constrained Friedman rule that characterizes the socially optimal level of reserves, demonstrating that this quantity is neither necessarily large nor small but depends on the marginal benefits of reserves relative to alternative safe assets.

The objective of this article is to improve our understanding of counterfeiting and its policy implications by reviewing research in this area. There has been almost no empirical work on counterfeiting because of the limited availability of counterfeiting data and related statistics. The authors therefore focus on theoretical studies that directly model the behaviour of the relevant economic agents. They first establish some stylized facts about counterfeiting to provide a general understanding of the problem. They then briefly review several models of counterfeiting and summarize their relevant insights, focusing on the implications of the findings for the incentive to counterfeit, social welfare and anti-counterfeiting policies. The authors find that the policy implications of these studies support the Bank’s comprehensive anti-counterfeiting strategy.

What are the main drivers behind the monetary policy reaction function of the People’s Bank of China?

Could Canadian banks continue to meet their regulatory liquidity requirements after the introduction of a cash-like retail central bank digital currency (CBDC)? We conduct a hypothetical exercise to estimate how a CBDC could affect bank liquidity by increasing the run-off rates of transactional retail deposits under four increasingly severe scenarios.

Based on recent research, this article discusses three ways that oil-futures prices can improve our understanding of current conditions and future prospects in the global market for crude oil. First, the response of the oil-futures curve can be used to identify the persistence of oil-price shocks and to obtain an indicator of the rate at which they will diminish. Second, the spread between the current futures price and the spot price of oil can be interpreted as an indicator of the precautionary demand for oil. Third, because oil-futures prices are volatile, forecasts of the future spot price of oil using futures prices should be supplemented with other information to improve their accuracy.