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This paper evaluates linear and non-linear forecast-combination methods. Among the non-linear methods, we propose a nonparametric kernel-regression weighting approach that allows maximum flexibility of the weighting parameters.

This paper examines the ability of linear and nonlinear models to replicate features of real Canadian GDP. We evaluate the models using various business-cycle metrics.

The authors examine the impact of multinational enterprises (MNEs) on exchange rate pass-through in an environment where an MNE engages in Cournot (quantity) competition with domestic and foreign rivals.

The authors estimate a small monthly macroeconometric model (BEAM, for bonds, equity, and money) of the Canadian economy built around three cointegrating relationships linking financial and real variables over the 1975–2002 period.

This paper evaluates the international spillover effects of large-scale asset purchases (LSAPs) using a two-country dynamic stochastic general-equilibrium model with nominal and real rigidities, and portfolio balance effects.

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 […]

The financial crisis of 2007-09 and the subsequent extended period of historically low real interest rates have revived the question of whether economic agents are willing to take on more risk when interest rates remain low for a prolonged time period. This increased appetite for risk, which causes economic agents to search for investment assets and strategies that generate higher investment returns, has been called the risk-taking channel of monetary policy. Recent academic research on banks suggests that lending policies in times of low interest rates can be consistent with the existence of a risk-taking channel of monetary policy in Europe, South America, the United States and Canada. Specifically, studies find that the terms of loans to risky borrowers become less stringent in periods of low interest rates. This risk-taking channel may amplify the effects of traditional transmission mechanisms, resulting in the creation of excessive credit.

This article examines another strategy in the Bank's approach to dealing with an uncertain world: the use of carefully articulated models to produce economic forecasts and to examine the implications of the various risks to those forecasts. Economic models are deliberate simplifications of a complex world that allow economists to make predictions that are reasonably accurate and that can be easily understood and communicated. By using several models, based on competing paradigms, the Bank minimizes policy errors that could result from relying on one view of the world and one philosophy of model design. The authors review some of the models currently used at the Bank, as well as the role of judgment in the projection process.

This paper uses a smooth transition error-correction model (STECM) to model the one-year and five-year mortgage rate changes. The model allows for a non-linear adjustment process of mortgage rates towards their long-run equilibrium.

Inflation forecasting is fundamental to monetary policy. In practice, however, economists are faced with competing goals: accuracy and theoretical consistency.