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3903 Results

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.
November 16, 2017

Factors Behind the 2014 Oil Price Decline

Oil prices have declined sharply over the past three years. While both supply and demand factors played a role in the large oil price decline of 2014, global supply growth seems to have been the predominant force. The most important drivers were likely the surprising growth of US shale oil production, the output decisions of the Organization of the Petro-leum Exporting Countries and the weaker-than-expected global growth that followed the 2009 global financial crisis.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): Q, Q4, Q41, Q43

What Is Restraining Non-Energy Export Growth?

This note summarizes the key findings from Bank of Canada staff analytical work examining the reasons for the recent weakness in Canadian non-energy exports. Canada steadily lost market share in US non-energy imports between 2002 and 2017, mostly reflecting continued and broad-based competitiveness losses.

Dismiss the Gap? A Real-Time Assessment of the Usefulness of Canadian Output Gaps in Forecasting Inflation

We use a new real-time database for Canada to study various output gap measures. This includes recently developed measures based on models incorporating many variables as inputs (and therefore requiring real-time data for many variables).
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
November 4, 2014

Housing Finance in Canada: Looking Back to Move Forward

The Canadian system of housing finance proved to be resilient and efficient during the global financial crisis and its aftermath. The system’s effectiveness is the result of a rigorous prudential regulatory and supervisory regime coupled with targeted government guarantees of mortgage insurance and securitization products.
JEL Code(s): G21, R31, R38
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