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Does consumption smoothing fundamentally decrease during macroeconomic disasters? This paper uses a large historical dataset (1870–2016) for 16 industrial economies to show that during macroeconomic disasters (e.g., wars, pandemics, depressions) aggregate consumption and income are significantly less decoupled than during normal times.

This article examines the efforts of the major advanced countries to strengthen the international financial system in order to avoid financial crises such as those that occurred in emerging-market economies in the 1990s. These efforts have focused on crisis prevention and crisis management. The prevention of such crises has necessitated the formation of new international groups that include emerging markets in their membership. Measures have also been taken to reduce the vulnerability of countries to such crises. These measures have centered on the need for appropriate macroeconomic policies, including the need for sustainable exchange rate regimes, sound domestic financial systems, and prudent risk management. In the area of crisis management, the International Monetary Fund (IMF) has been given access to additional resources for lending to countries that experience financial crises. The IMF has also established new lending facilities for use in such circumstances. It has also been agreed that the private sector will need to play a greater role in the management of such crises in the future.

Financial market expectations regarding future changes in the target for the overnight rate of interest are an important source of information for the Bank of Canada. Financial markets are the mechanism through which the policy rate affects other financial variables, such as longer-term interest rates, the exchange rate, and other asset prices. An accurate measure of their expectations can therefore help policy-makers assess the potential impact of contemplated changes. Johnson focuses on the expectations hypothesis, which measures expectations of future levels of the target overnight rate as implied by current money market yields. Although expectations can be derived from the current yield on any short-term fixed-income asset, some assets have proven to be more accurate predictors than others. The implementation of a policy of fixed-announcements dates has coincided with the increased predictive power of these short-term assets. As a result of this improvement, a relatively simple model of the yield curve can now provide an accurate measure of financial market expectations.

We simulate introducing a central bank digital currency (CBDC) and consider consumer adoption, merchant acceptance and usage at the point of sale. Modest adoption frictions significantly inhibit CBDC market penetration along all three dimensions. Incumbent responses to restore pre-CBDC market shares are moderate to small and further reduce the impact of a CBDC.

The physical network of bank branches is important in how consumers manage their cash holdings. This paper estimates how consumer withdrawal behaviour responds to the distance they must travel to their branch.

We document that, across households, the money consumption ratio increases with age and decreases with consumption, and that there has been a large increase in the money consumption ratio during the recent era of very low interest rates. We construct an overlapping generations (OLG) model of money holdings for transaction purposes subject to age (older households use more money), cohort (younger generations are exposed to better transaction technology), and time effects (nominal interest rates affect money holdings).

Underlying wage growth has fallen short of what would be consistent with an economy operating with little or no slack. While many factors could explain this weakness, the availability of additional labour resources from informal (“gig”) work—not fully captured in standard measures of employment and hours worked—may play a role.

We introduce generalized autoregressive gamma (GARG) processes, a class of autoregressive and moving-average processes in which each conditional moment dynamic is driven by a different and identifiable moving average of the variable of interest. We show that using GARG processes reduces pricing errors by substantially more than using existing autoregressive gamma processes does.

This special issue discusses tools used at Bank of Canada to conduct current analysis - the collection and analysis of a broad spectrum of information to form a view of current economic activity. This analysis is a key input into the Bank’s monetary policy decision-making process.