A Dynamic Factor Model for Commodity Prices Staff analytical note 2017-12 Doga Bilgin, Reinhard Ellwanger 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. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C5, C51, Q, Q0, Q02 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures
Did the Renewable Fuel Standard Shift Market Expectations of the Price of Ethanol? Staff working paper 2017-35 Christiane Baumeister, Reinhard Ellwanger, Lutz Kilian 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. Content Type(s): Staff research, Staff working papers JEL Code(s): Q, Q1, Q18, Q2, Q28, Q4, Q42, Q5, Q58 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures
November 17, 2016 Commodity Price Supercycles: What Are They and What Lies Ahead? Bank of Canada Review - Autumn 2016 Bahattin Buyuksahin, Kun Mo, Konrad Zmitrowicz 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. Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): C, C1, Q, Q1, Q4, Q41
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. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E3, E32, E37, F, F0, F01, Q, Q4, Q43 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
Low for Longer? Why the Global Oil Market in 2014 Is Not Like 1986 Staff analytical note 2016-11 Bahattin Buyuksahin, Reinhard Ellwanger, Kun Mo, Konrad Zmitrowicz 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. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E3, Q, Q4, Q41, Q43 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Structural challenges, International trade, finance and competitiveness
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. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E2, E22, E27, Q, Q4, Q43, Q47 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
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. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C53, D, D8, D84, G, G1, G14, Q, Q4, Q43 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods
The Evolution of the Chinese Housing Market and Its Impact on Base Metal Prices Staff discussion paper 2016-7 Mark Kruger, Kun Mo, Benjamin Sawatzky 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. Content Type(s): Staff research, Staff discussion papers JEL Code(s): Q, Q3, Q31, R, R3, R31 Research Theme(s): Financial markets and funds management, Market functioning, Monetary policy, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
The Complex Adjustment of the Canadian Economy to Lower Commodity Prices Staff analytical note 2016-1 Julien Champagne, Nikita Perevalov, Hope Pioro, Dany Brouillette, Andrew Agopsowicz 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. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E1, E17, E2, E27, E5, E52, J, J2, Q, Q0, Q00 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
May 13, 2014 The Art and Science of Forecasting the Real Price of Oil Bank of Canada Review - Spring 2014 Christiane Baumeister 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