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We present a new corporate default model, one of the building blocks of the Bank of Canada’s bank stress-testing infrastructure. The model is used to forecast corporate loan losses of the Canadian banking sector under stress.

The objective of this paper is twofold. First, we assess whether financial education might be a suitable tool to promote the financial inclusion opportunities that big techs provide. Second, we study how this potential financial inclusion could impact financial stability.

From the autumn of 2023 into early 2024, the Canadian Overnight Repo Rate Average (CORRA), a measure of the cost of overnight general collateral Canadian dollar repos, was consistently well above the Bank’s target for the overnight rate. We find that, among several factors, long bond positions that require repo financing are the main driver of the recent upward pressure on CORRA.

Inflation can affect both the dispersion of commodity-specific price levels across locations (relative price variability, RPV) and the dispersion of inflation rates (relative inflation variability, RIV). Some menu-cost models and models of consumer search suggest that the RIV-inflation relationship could differ from the RPV-inflation relationship.

We introduce behavioral learning equilibria (BLE) into DSGE models with boundedly rational agents using simple but optimal first order autoregressive forecasting rules. The Smets-Wouters DSGE model with BLE is estimated and fits well with inflation survey expectations. As a policy application, we show that learning requires a lower degree of interest rate smoothing.

We develop a model that links investors’ decisions to enter or exit the Bitcoin market with their beliefs about the survival of Bitcoin. Empirical testing using Canadian data reveals that beliefs strongly influence both entries and exits, and this impact varies with time and ownership status.

We study competition for consumer attention, in which platforms can sacrifice service quality for attention. A platform can choose the “addictiveness” of its service.

This paper measures how both geographical and cultural proximity of bank branches affect household credit choice and pricing. For credit products that require high levels of ex-ante screening, we find that both proximities can complement each other in reducing the cost of providing soft information, thereby increasing credit access.

Using Canadian matched employer-employee data, we show that working hours of different workers are gross complements in production rather than perfect substitutes, as is typically assumed by macroeconomic models of production.