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This section of the Financial System Review examines the recent performance of the Canadian financial system and the factors, both domestic and international, that are influencing it.

This paper develops a model of firm heterogeneity, technological adoption, and urbanization. In the model, welfare is measured by household real income, and urbanization is measured by population density. I use the model to derive statistics that measure the effect of a new technology on productivity, welfare, and urbanization.

The neutral rate serves as a benchmark for measuring monetary stimulus and provides a medium- to long-run anchor for the real policy rate. Global neutral rate estimates have been falling over the past few decades. Factors such as population aging, high corporate savings, and low trend productivity growth are likely to continue supporting a low global neutral rate. These global factors as well as domestic factors are exerting downward pres-sure on the Canadian real neutral rate, which is estimated to be between 0.5 to 1.5 per cent. This low neutral rate has important implications for monetary policy and financial stability.

Annual research grants and expense allowances for a term of up to five years.

Central bankers argue that programmable digital currencies may compromise the uniformity of money. We develop a stylized model to examine this argument and the trade-offs involved in circulating programmable money.

These forecasts are provided to Governing Council in preparation for monetary policy decisions. They are released once a year with a five-year lag.

We study the interaction between epidemics and economic decisions in a model that has silent transmission of the virus. We find that rational behaviour strongly diminishes the severity of the epidemic but worsens the economic recession. We also find that the detection and isolation of not only symptomatic individuals but also those who are infected and asymptomatic or mildly symptomatic can reduce the severity of the recession caused by the pandemic.

I examine the impact of non-regulated lenders in the mortgage market using a dynamic stochastic general equilibrium (DSGE) model. My model features two types of financial intermediaries that differ in three ways: (i) only regulated intermediaries face a capital requirement, (ii) non-regulated intermediaries finance themselves by selling securities and cannot accept deposits, and (iii) non-regulated intermediaries face a more elastic demand.

We quantify the reaction of U.S. equity, bond futures, and exchange rate returns to oil price shocks driven by oil inventory news.

COVID-19 affects technology adoption: online job postings for technology-related occupations fall less during pandemic lockdowns and pick up faster during reopenings than postings for more traditional occupations.