Search

The Bank of Canada’s current suite of models faces challenges in addressing network effects that integrate household and firm-level heterogeneity and their behaviours. We develop CANVAS, a Canadian behavioural agent-based model to contribute to the Bank’s next-generation modelling effort. CANVAS improves forecasting performance and expands capacity for model-based scenario analysis.

The Bank of Canada uses several short-term forecasting models for the monitoring of key foreign economies - the United States, the euro area, Japan and China. The design of the forecasting models used for each region is influenced by the level of detail required, as well as the timeliness and volatility of data. Forecasts from different models are typically combined to mitigate model uncertainty, and judgment is applied to the model forecasts to incorporate information that is not directly reflected in the most recent indicators.

This note analyzes the evolution of the narrative in the Bank of Canada’s Monetary Policy Report (MPR). It presents descriptive statistics on the core text, including length, most frequently used words and readability level—the three Ls. Although each Governor of the Bank of Canada focuses on the macroeconomic events of the day and the mandate of inflation targeting, we observe that the language used in the MPR varies somewhat from one Governor’s tenure to the next.

This paper studies the effects of financial development, taking into account both formal and informal financing. Using cross-country firm-level data, we document that informal financing is utilized more by rich countries than poor countries.

We perform an analysis to determine how well the introduction of a countercyclical loanto- value (LTV) ratio can reduce household indebtedness and housing price fluctuations compared with a monetary policy rule augmented with house price inflation.

We develop a model to analyze the link between financial leverage, worker pay structure and the risk of job termination. Contrary to the conventional view, we show that even in the absence of any agency problem among workers, variable pay can be optimal despite workers being risk averse and firms risk neutral.

With increasing levels of household debt in recent years, the number of households that may be vulnerable to a negative economic shock is rising as well. Decisions made by both the debtor and the creditor can contribute to insolvency. This article presents some stylized facts about insolvency in Canada’s household sector and analyzes the role of creditors in insolvencies. The average debt of an individual filing for bankruptcy is more than 1.5 times that of an average Canadian household; bankruptcy filers tend to be unemployed or in low-wage jobs, and are typically renters. The article reports that banks that approve more loans per branch, which is interpreted as less-intensive use of soft information (such as the loan officer’s assessment of the applicant’s character), experience more client bankruptcies. This finding has important policy implications, because financial institutions that do not use soft information risk further deterioration in their lending portfolios.

I show how to combine large numbers of forecasts using several approaches within the framework of a Bayesian predictive synthesis. I find techniques that choose and combine a handful of forecasts, known as global-local shrinkage priors, perform best.

We assess how location affects house prices in Canada. The gap in prices between suburbs and downtown was closing gradually before the pandemic. The gap has been closing faster since spring 2020. This finding reflects a shift in preferences toward more living space.