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The Global Benefits of Low Oil Prices: More Than Meets the Eye

Staff analytical note 2016-13 Robert Fay, Justin-Damien Guénette, Louis Morel
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.

Low for Longer? Why the Global Oil Market in 2014 Is Not Like 1986

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.

Crude Oil Prices and Fixed-Asset Cash Spending in the Oil and Gas Industry: Findings from VAR Models

Staff analytical note 2016-8 Farrukh Suvankulov
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.

A General Approach to Recovering Market Expectations from Futures Prices with an Application to Crude Oil

Staff working paper 2016-18 Christiane Baumeister, Lutz Kilian
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.
May 13, 2014

The Art and Science of Forecasting the Real Price of Oil

Forecasts of the price of crude oil play a significant role in the conduct of monetary policy, especially for commodity producers such as Canada. This article presents a range of recently developed forecasting models that, when pooled together, can generate, on average, more accurate forecasts of the price of oil than the oil futures curve. It also illustrates how policy-makers can evaluate the risks associated with the baseline oil price forecast and how they can determine the causes of past oil price fluctuations.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): C, C5, C53, E, E3, E32, Q, Q4, Q43
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