The rise in inflation in 2021–22 sparked a growing literature and debate over the causes of the surge as well as the near- and medium-term path for inflation. This review offers three key messages.
From 2011 to 2019, inflation in Canada and advanced economies usually registered below inflation targets, spurring the debate on whether the inflation process has changed. This paper highlights emerging questions that will influence the conduct of monetary policy in Canada in the near term.
This note examines the merits of monetary policy adjustments in response to financial stability concerns, taking into account changes in the state of knowledge since the renewal of the inflation-targeting agreement in 2011. A key financial system vulnerability in Canada is elevated household indebtedness: as more and more households are nearing their debt-capacity limits, the likelihood and severity of a large negative correction in housing markets are also increasing.
Bank of Canada research done prior to the most recent renewal of the inflation-control agreement in 2011 concluded that the benefits associated with a target below 2 per cent were insufficient to justify the increased risk of being constrained by the zero lower bound (ZLB) on nominal interest rates.
Because financial and macroeconomic conditions are tightly interconnected, financial stability considerations are an important element of any monetary policy framework. Yet, the circumstances under which it would be appropriate for the Bank to use monetary policy to lean against financial risks need to be more fully specified (Côté 2014).
ToTEM – the Bank of Canada’s principal projection and policy-analysis model for the Canadian economy – is extended to include inventories. In the model, firms accumulate inventories of finished goods for their role in facilitating the demand for goods.
Inventory investment is an important component of the Canadian business cycle. Despite its small average size – less than 1 per cent of output – it exhibits volatile procyclical fluctuations, accounting for almost one-third of output variance.