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Since 1997, the Bank of Canada’s regional offices have been conducting the Business Outlook Survey (BOS), a quarterly survey of business conditions. Survey responses are gathered through face-to-face, confidential consultations with a sample of private sector firms representative of the various sectors, firm sizes and regions across Canada.

In this note, we present the Commodities Factor Model (CFM), a dynamic factor model for a large cross-section of energy and non-energy commodity prices. The model decomposes price changes in commodities into a common “global” component, a “block” component confined to subgroups of economically related commodities and an idiosyncratic price shock component.

Stock market fundamentals would not seem to meaningfully predict returns over a shorter-term horizon—instead, I shift focus to severe downside risk (i.e., crashes).

It is commonly believed that the response of the price of corn ethanol (and hence of the price of corn) to shifts in biofuel policies operates in part through market expectations and shifts in storage demand, yet to date it has proved difficult to measure these expectations and to empirically evaluate this view.

This note presents measures of liquidity used by the Bank of Canada to monitor market conditions and discusses recent trends in Government of Canada (GoC) fixed-income market liquidity. Our results indicate that the Bank’s measures have improved since the financial crisis. Furthermore, GoC market liquidity deteriorated following several stressful events: the euro crisis in 2011, the taper tantrum in 2013 and the oil price shock in 2015. In all three cases, the deterioration remained within historical norms and liquidity returned to normal levels afterwards.

This paper predicts phases of the financial cycle by using a continuous financial stress measure in a Markov switching framework. The debt service ratio and property market variables signal a transition to a high financial stress regime, while economic sentiment indicators provide signals for a transition to a tranquil state.

We compare the Federal Reserve’s asset purchase programs with those implemented by the Bank of England and the Swedish Riksbank, and the Swiss National Bank’s reserve expansion program.

This note examines the relatively subdued pace of wage growth in Canada since the commodity price decline in 2014 and assesses whether the weakness is attributable to cyclical (e.g., labour market slack) or structural factors (e.g., resource reallocation and demographic change).

Since 2012, business investment growth has slowed considerably in advanced economies, averaging a little less than 2 per cent versus the 4 per cent growth rates experienced in the period leading up to crisis. Several recent studies have attributed a large part of the weakness in business investment to cyclical factors, including soft aggregate demand, and, to a lesser degree, heightened uncertainty and tighter financial conditions.

This paper shows (i) that business sentiment, as captured by survey data, matters for monetary policy decisions in Canada, and (ii) how business perspectives are affected by monetary policy shocks. Measures of business sentiment (soft data) are shown to have systematic explanatory power for monetary policy decisions over and above typical Taylor rule variables.