Browse research

The authors examine whether monetary policy should and could do more to lean against financial imbalances (such as those associated with asset-price bubbles or unsustainable credit expansion) as they are building up, or whether its role should be limited to cleaning up the economic consequences as the imbalances unwind.

Although the current inflation-targeting regime has served Canadians well, sound public policy demands the continuous exploration of possible improvements in the monetary policy framework.

This paper empirically assesses the effectiveness of the Bank of Canada's term Purchase and Resale Agreement (PRA) facility in reducing short-term bank funding pressures, as measured by the CDOR-OIS spread.

Using an error-correction model (ECM) framework, the authors attempt to quantify the degree of disequilibrium in Canadian housing stock over the period 1961–2008 for the national aggregate and over 1981–2008 for the provinces.

To better understand the dynamics of the Chinese economy and its interaction with the global economy, the authors incorporate China into an existing model for the G-3 economies (i.e., the United States, the euro area, and Japan), paying particular attention to modelling the exchange rate and monetary policy in China.

The prices of commodities produced in Canada have important implications for the performance of the Canadian economy and the conduct of monetary policy. The authors explain an important change to the methodology used to construct the Bank of Canada commodity price index (BCPI).

In recent years, the Canadian economy has been affected by strong movements in relative prices brought about by the surging costs of energy and non-energy commodities, with significant implications for the terms of trade, the exchange rate, and the allocation of resources across Canadian sectors and regions.

The authors use the Bank of Canada's version of the Global Economy Model, a multi-country, multi-sector dynamic stochastic general-equilibrium model with an active banking system (the BoC-GEM-FIN), to study the evolution of global current account balances following the recent global financial crisis.

The good forecasting performance of factor models has been well documented in the literature. While many studies focus on a very limited set of variables (typically GDP and inflation), this study evaluates forecasting performance at disaggregated levels to examine the source of the improved forecasting accuracy, relative to a simple autoregressive model. We use the latest revision of over 100 U.S. time series over the period 1974-2009 (monthly and quarterly data).