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This article describes the Bank of Canada’s version of the Global Economy Model structured to incorporate an active banking system that features an interbank market and cross-border lending. After describing the new model, the authors use it to examine the responses of selected U.S. and Canadian macroeconomic variables to a “credit crunch” in the United States and also to study the impact of changes in the regulatory limits to bank leverage in Canada. They also discuss the relative merits of a monetary policy framework based on inflation targeting and one based on price-level targeting in the presence of shocks to the U.S. and Canadian banking sectors.

The author studies the welfare implications of adjustment programs supported by the International Monetary Fund (IMF). He uses a model where an endogenous borrowing constraint, set up by international lenders who will never lend more than a debt ceiling, forces the borrowing economy to always choose repayment over default.

This paper examines the empirical performance of alternatives to the monetary aggregates currently published by the Bank of Canada. The results show that real M1 and real M1a perform about equally well in providing leading information about real output at short horizons. However, on theoretical grounds, M1a is a more attractive aggregate, since it excludes […]

Recent evidence suggests that the extent of downward nominal wage rigidity (DNWR) in the Canadian labour market has risen following the 2008–09 recession (see Brouillette, Kostyshyna and Kyui 2016).

The primary focus of this paper is to study conflict of interest in the brokerage market. Brokers face a conflict of interest when the commissions they receive from investors differ from the costs imposed by different trading venues.

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.

China's integration into the world economy has benefited its people by reducing poverty and raising living standards, and it has benefited the industrialized world by producing manufactured goods at lower cost. It has also raised geopolitical concerns as China's power grows, economic concerns as the manufacturing base in many industrialized countries erodes, and polemics as proposals of protectionist measures to counter China's export growth are put forward.

Our paper employs smartphone data to construct an improved cash access metric by accounting for both spatial agglomeration and households’ travel patterns. We find that incorporating trip-chaining into the travel metric could show that travel costs are from 15 to 25% less than not incorporating trip-chaining and that the biggest decrease is driven by rural residents.

The Bank of Canada’s annual economic conference, held in October 2012, brought together experts from across Canada and around the world to discuss key issues concerning financial intermediation and vulnerabilities. The conference covered such topics as household finances and their relationship to financial stability, as well as bank regulation, securitization and shadow banking.

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. […]