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This paper studies the period in Canada when both private bank notes and government-issued notes (Dominion notes) were simultaneously in circulation. Because both of these notes shared many of the characteristics of today's digital currencies, the experience with these notes can be used to draw lessons about how digital currencies might perform.

Natural disasters occur more often than before, potentially exposing households to financial distress. We study the intersection between household financial vulnerabilities and severe weather events.

The recent crisis was characterized by widespread deterioration in funding conditions, as well as impairment of the mechanism through which liquidity is normally redistributed within the financial system. Central banks responded with extraordinary measures. This article examines the provision of liquidity by central banks during the crisis as they adapted their existing facilities and introduced new ones, while encouraging a return to private markets and mitigating moral hazard. A review of this experience illustrates the importance of clear principles for intervention, a flexible operating framework, and clear communication and co-operation by central banks. By exposing the degree of interdependence of financial institutions and markets, the crisis highlighted the need for reforms aimed at improving the infrastructure supporting core funding markets and the liquidity of individual institutions.

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 COVID-19 pandemic has caused an atypical recession in which some sectors of the economy boomed and others collapsed. This required a unique fiscal policy reaction to both support firms and stimulate activity in sectors with slack. Was fiscal policy able to get where it was needed? Mostly, yes.

Until recently, few efforts have been made to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. To help fill this gap, the Bank of Canada (BoC) developed a comprehensive database of sovereign defaults that is posted on its website and updated in partnership with the Bank of England (BoE).

Using a rich data set on government spending forecasts in Japan, we provide new evidence on the effects of unexpected changes in government spending when the nominal interest rate is near the zero lower bound (ZLB).

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.