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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.

Because commodity prices help determine Canada’s terms of trade, employment, income and, ultimately, inflation, it is important to understand what causes them to fluctuate. Since the early 1900s, there have been four commodity price supercycles—which we define as extended periods of boom and bust that can take decades to complete. Now in its downswing phase, the current supercycle started after growth in China and other emerging-market economies in the mid-1990s resulted in an unexpected demand shock. The extent of this downswing depends on numerous factors that are presently uncertain.

Between mid-2014 and early 2016, oil prices fell by roughly 65 per cent. This note documents the channels through which this oil price decline is expected to affect the global economy. One important and immediate channel is through higher expenditures, especially in net oil-importing countries.

In the second half of 2014, oil prices experienced a sharp decline, falling more than 50 per cent between June 2014 and January 2015. A cursory glance at this oil price crash suggests similarities to developments in 1986, when the price of oil declined by more than 50 per cent, initiating an episode of relatively low oil prices that lasted for more than a decade.

This note investigates the relationship between crude oil prices and investment in the energy sector. We employ a set of vector autoregression (VAR) models (unconstrained VAR, vector error-correction and Bayesian VAR) to formalize the relationship between the West Texas Intermediate (WTI) benchmark and fixed-asset cash spending in the oil and gas extraction and support activities sector of the Canadian economy.

Futures markets are a potentially valuable source of information about price expectations. Exploiting this information has proved difficult in practice, because time-varying risk premia often render the futures price a poor measure of the market expectation of the price of the underlying asset.

The Chinese housing market has grown rapidly following its liberalization in the 1990s, generating significant economic activity and demand for base metals. In this paper, we discuss the evolution of the Chinese housing market and quantify its importance for the overall Chinese economy and its linkages to base metal prices.

In this analytical note, we provide a comprehensive assessment of the complex structural adjustment facing the Canadian economy following the commodity price decline since mid-2014. We quantify separately the impacts coming from the commodity sector restructuring and the broader effect of significantly lower terms of trade.

This paper analyzes the macroeconomic impact of oil shocks in four of the largest oil-consuming Asian economies, using a structural vector autoregressive model. We identify three different types of oil shocks via sign restrictions: an oil supply shock, an oil demand shock driven by global economic activity and an oil-specific demand shock.

Prices of commodities, including metals, energy and agricultural products, rose markedly over the 2009–2010 period. Some observers have attributed a significant part of this increase in commodity prices to the U.S. Federal Reserve’s large-scale asset purchase (LSAP) programs.