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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).

The COVID-19 pandemic has caused an atypical recession in which some sectors of the economy boomed and others collapsed. This required a unique fiscal policy reaction to both support firms and stimulate activity in sectors with slack. Was fiscal policy able to get where it was needed? Mostly, yes.

Pricing-to-market (PTM) theory suggests that monopolistic firms which export adjust their destination-specific markups in reaction to exchange rate shocks. These adjustments limit changes in the price of their exports.

This article focuses on a quantitative method to identify financial system vulnerabilities, specifically, an imbalance indicator model (IIM) and its application to Canada. An IIM identifies potential vulnerabilities in a financial system by comparing current economic and financial data with data from periods leading up to past episodes of financial stress. It complements other sources of information - including market intelligence and regular monitoring of the economy - that policy-makers use to assess vulnerabilities.

This paper attempts to reduce the uncertainty about the dynamics of the monetary transmission mechanism. Central to this attempt is the identification of monetary policy shocks. Recently, VAR approaches that use over-identifying restrictions have shown success in isolating such shocks.

The Bank of Canada’s annual conference, held in October 2010, brought together leading researchers from universities and central banks around the world.

The authors evaluate whether an assortment of simple rules could improve how the Bank of Canada implements its inflation-targeting monetary policy. They focus on measuring the correlation between the deviations of inflation from the target and the lagged deviations of rule recommendations from the actual policy interest rate.

The linkages between inflation and the economy's cyclical position are thought to be strongly affected by the credibility of monetary authorities.

We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.

The household debt-to-disposable income ratio in Canada increased from 110 per cent in 1999 to 127 per cent in 2007. This increase has raised questions about the ability of households to service their increased debt if faced with a negative economic or socio-economic shock.