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What is the role of central banks in financial stability? How has this role changed in recent years? Bank researchers share their insights on this matter and provide an overview of recent changes the Bank has made to its Emergency Lending Assistance Policy. Researchers also provide a history of four major commodity supercycles, dating back to the early 1900s. Finally, there is discussion about structural reforms in emerging-market economies, such as China, and how these reforms influence potential growth.

Canada’s Short-Term Indicator (CSI) is a new model that exploits the information content of 32 indicators to produce daily updates to forecasts of quarterly real GDP growth. The model is a data-intensive, judgment-free approach to short-term forecasting. While CSI’s forecasts at the start of the quarter are not very accurate, the model’s accuracy increases appreciably as more information becomes available. CSI is the latest addition to a wide range of models and information sources that the Bank of Canada uses, combined with expert judgment, to produce its short-term forecasts.

The resurgence of sizable current account imbalances in the major economies in recent years, particularly the tripling of the U.S. deficit, has led to renewed academic and public discussions about their sustainability. Jacob's main objective is to show that current account balances are simply the outcome of various relative structural and cyclical forces between trading partners. He reviews the factors behind the changes in the current account positions of the three largest industrial economies (the United States, Japan, and the euro area). Two strong determinants shaping the current account balances are the faster increase in U.S. productivity compared with that of other major economies and, more recently, the loosening in the U.S. fiscal stance. Jacob also reviews a range of outside assessments from such sources as the Organisation for Economic Co-operation and Development and the International Monetary Fund, as well as the academic literature, to determine the possible risks to macroeconomic and financial stability.

Risk assessment models are an important component of the Bank’s analytical tool kit for assessing the resilience of the financial system. We describe the Framework for Risk Identification and Assessment (FRIDA), a suite of models developed at the Bank of Canada to quantify the impact of financial stability risks to the broader economy and a range of financial system participants (households, businesses and banks).

The Canadian economy continues to operate just above its full production capacity, and the near-term outlook for core inflation has moved slightly higher.

Deputy Governor Sharon Kozicki discusses the use of exceptional monetary policy tools during the COVID-19 pandemic, as well as the Bank’s commitment to transparency and accountability.

This report describes a joint endeavour between public and private sectors to explore a wholesale payment system based on distributed ledger technology (DLT). They find that a stand-alone DLT system is unlikely to be as beneficial as a centralized payment system in terms of core operating costs; however, it could increase financial system efficiency as a result of integration with the broader financial market infrastructure.

The size of China’s financial system raises the possibility that the liberalization of its capital account could have a large effect on the global financial system. This paper provides a counterfactual scenario analysis that estimates what the size and direction of China’s overseas portfolio investments would have been in 2015 if China had had no restrictions on these outflows.

Speaking a day after the Bank of Canada’s latest interest rate decision, Deputy Governor Sharon Kozicki discusses the current state of the economy and talks about how the Bank is improving both its use of data and the way we communicate with Canadians.

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.