Search

This paper reviews the Canadian and international evidence of the effectiveness of macroprudential policy measures in building resilience and mitigating financial imbalances. The analysis concludes that these measures have broadly achieved their goal of increasing the overall resilience of the financial system to the buildup of imbalances and increasing the financial system’s ability to withstand adverse shocks.

The sticky-price model of aggregate fluctuations implies that countries with high trend inflation rates should exhibit less-persistent output fluctuations than countries with low trend inflation.

The conduct of monetary policy within an inflation-targeting framework requires the establishment of an inflation-target horizon, which is the average time it takes inflation to return to the target. Policy-makers have an interest in communicating this horizon, since it is likely to help anchor inflation expectations. This article focuses on the determination of the appropriate policy horizon by reporting on two recent Bank of Canada studies. The evidence suggests that the current target horizon of six to eight quarters remains appropriate. It is important to note that the duration of the optimal inflation-target horizon varies widely, depending on the combination of shocks to the economy. In rare cases when the financial accelerator is triggered by a persistent shock, such as an asset-price bubble, it may be appropriate to take a longer view of the inflation-target horizon.

This issue focuses on the upcoming renewal of Canada’s inflation-control target. Bank researchers discuss the estimate of the lower bound to policy interest rates in Canada. They also discuss downward nominal wage rigidity and whether its presence warrants considering a higher inflation target. The third article highlights the experience some international central banks have had with unconventional monetary policies. The final article describes monetary policy frameworks in 10 advanced economies.

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.

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 paper discusses the merits and shortcomings of alternative price indices used in constructing real effective exchange rate indices and examines the effects of different weighting schemes. It also compares selected measures of the real effective exchange rate in terms of their ability to explain movements in Canadian net exports and real output. The paper […]

Financial markets can experience sudden and extreme downward movements. Investors are highly concerned about the performance of their assets in such scenarios. Some assets perform badly in a downturn in the market; others have milder reactions.

Financial and monetary variables have long been known to contain useful leading information regarding economic activity. In this paper, the authors wish to determine whether the forecasting performance of such variables can be improved using neural network models. The main findings are that, at the 1-quarter forecasting horizon, neural networks yield no significant forecast improvements. […]

The purpose of this paper is to make a quantitative contribution to the inflation versus price level targeting debate. It considers a policy-maker that can set policy either through an inflation targeting rule or a price level targeting rule to minimize a quadratic loss function using the actual projection model of the Bank of Canada (ToTEM).