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The common-factor hypothesis is one possible explanation for the housing wealth effect. Under this hypothesis, house price appreciation is related to changes in consumption as long as the available proxies for the common driver of housing and non-housing demand are noisy and housing supply is not perfectly elastic.

When financial system vulnerabilities are elevated, they can give rise to asymmetric risks to the economic outlook. To illustrate this, I consider the economic outlook presented in the Bank of Canada’s October 2017 Monetary Policy Report in the context of two key financial system vulnerabilities: high levels of household indebtedness and housing market imbalances.

We introduce limited information in monetary policy. Agents receive signals from the central bank revealing new information (“news") about the future evolution of the policy rate before changes in the rate actually take place. However, the signal is disturbed by noise.

This paper evaluates the effects of high-frequency uncertainty shocks on a set of low-frequency macroeconomic variables that are representative of the U.S. economy. Rather than estimating models at the same common low-frequency, we use recently developed econometric models, which allows us to deal with data of different sampling frequencies.

In March 2020, the Bank of Canada implemented the Government of Canada Bond Purchase Program, eventually purchasing approximately $340 billion of government bonds. In this paper, we analyze the impact of this program on financial market prices and yields as well as on GDP and inflation.

Discussion of recent research into three ways that oil-futures prices can improve our understanding of current conditions and future prospects in the global market for crude oil; inflation expectations and the conduct of monetary policy: a review of recent evidence and experience; examination of the influence of various forms of economic uncertainty on the performance of different classes of monetary policy rules; how, when, and why such revisions to many important economic variables occur.

This paper provides an extensive evaluation of the performance of quantile vector autoregression (QVAR) to forecast macroeconomic risk. Generally, QVAR outperforms standard benchmark models. Moreover, QVAR and QVAR augmented with factors perform equally well. Both are adequate for modeling macroeconomic risks.

Central banks must cope with considerable uncertainty about what will happen in the economy when formulating monetary policy. This article describes the different types of uncertainty that arise and looks at examples of uncertainty that the Bank has recently encountered. It then reviews the strategies employed by the Bank to deal with this problem. The other articles in this special issue focus on three of these major strategies.

Until recently, there have been few efforts to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. To help fill this gap, the Bank of Canada’s Credit Rating Assessment Group (CRAG) has developed a comprehensive database of sovereign defaults posted on the Bank of Canada’s website that now is updated in partnership with the Bank of England.

This background note explains the Bank’s official position on CBDC. It outlines the public policy, design, technology and risk management issues the Bank is considering as it builds its capacity to issue a CBDC in case it is needed in the future.