This paper examines whether machine learning (ML) algorithms can outperform a linear model in predicting monthly growth in Canada of both house prices and existing home sales. The aim is to apply two widely used ML techniques (support vector regression and multilayer perceptron) in economic...

The COVID-19 pandemic forced policy-makers to deploy a range of unprecedented measures to support the economy. In this discussion paper, we discuss the outcome of the economic measures implemented in the context of financial stability in Canada. We also present related challenging policy...

This paper summarizes the literature on the performance of various extended monetary policy tools when conventional policy rates are constrained by the effective lower bound. We highlight issues that may arise when these tools are used by central banks of small open economies. Tools that have...