Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics

• Financial Distress and Hedging: Evidence from Canadian Oil Firms

  Staff Discussion Paper 2019-4 Kun Mo, Farrukh Suvankulov, Sophie Griffiths

  The paper explores the link between financial distress and the commodity price hedging behaviour of Canadian oil firms.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Financial markets, Firm dynamics JEL Code(s): G, G3, G32, Q, Q4, Q40

• Global Commodity Markets and Rebalancing in China: The Case of Copper

  Staff Discussion Paper 2019-3 Jeannine Bailliu, Doga Bilgin, Kun Mo, Kurt Niquidet, Benjamin Sawatzky

  Given that China accounts for about half of global copper consumption, it is reasonable to expect that any significant change in Chinese copper consumption will have an impact on the global market.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): O, O1, O13, O14, Q, Q0, Q02

• The Propagation of Regional Shocks in Housing Markets: Evidence from Oil Price Shocks in Canada

  Staff Working Paper 2018-56 Lutz Kilian, Xiaoqing Zhou

  How do global oil price shocks spread through Canada’s economy? With Canada’s regionally diverse economy in mind, we explore the implications of oil price shocks for Canadian housing markets and regional economies. We show that the belief that oil price shocks only matter in oil-rich regions is false.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Housing, International topics, Labour markets, Regional economic developments JEL Code(s): F, F4, F43, Q, Q3, Q33, Q4, Q43, R, R1, R12, R3, R31

• Did U.S. Consumers Respond to the 2014–2015 Oil Price Shock? Evidence from the Consumer Expenditure Survey

  Staff Working Paper 2018-13 Patrick Alexander, Louis Poirier

  The impact of oil price shocks on the U.S. economy is a topic of considerable debate. In this paper, we examine the response of U.S. consumers to the 2014–2015 negative oil price shock using representative survey data from the Consumer Expenditure Survey.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Domestic demand and components, Recent economic and financial developments JEL Code(s): D, D1, D12, E, E2, E21, Q, Q4, Q43

• Modeling Fluctuations in the Global Demand for Commodities

  Staff Working Paper 2018-4 Lutz Kilian, Xiaoqing Zhou

  It is widely understood that the real price of globally traded commodities is determined by the forces of demand and supply. One of the main determinants of the real price of commodities is shifts in the demand for commodities associated with unexpected fluctuations in global real economic activity.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): F, F4, F44, Q, Q1, Q11, Q3, Q31, Q4, Q41, Q43

• Is the Discretionary Income Effect of Oil Price Shocks a Hoax?

  Staff Working Paper 2017-50 Christiane Baumeister, Lutz Kilian, Xiaoqing Zhou

  The transmission of oil price shocks has been a question of central interest in macroeconomics since the 1970s. There has been renewed interest in this question after the large and persistent fall in the real price of oil in 2014–16. In the context of this debate, Ramey (2017) makes the striking claim that the existing literature on the transmission of oil price shocks is fundamentally confused about the question of how to quantify the effect of oil price shocks.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C51, Q, Q4, Q43

• On the Tail Risk Premium in the Oil Market

  Staff Working Paper 2017-46 Reinhard Ellwanger

  This paper shows that changes in market participants’ fear of rare events implied by crude oil options contribute to oil price volatility and oil return predictability. Using 25 years of historical data, we document economically large tail risk premia that vary substantially over time and significantly forecast crude oil futures and spot returns.

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods, Financial markets JEL Code(s): C, C5, C53, C58, D, D8, D84, E, E4, E44, G, G1, G12, G13, Q, Q4, Q43
• November 16, 2017

  Factors Behind the 2014 Oil Price Decline

  Bank of Canada Review - Autumn 2017 Reinhard Ellwanger, Benjamin Sawatzky, Konrad Zmitrowicz

  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 Topic(s): Business fluctuations and cycles, International topics, Recent economic and financial developments JEL Code(s): Q, Q4, Q41, Q43

• 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 Topic(s): Econometric and statistical methods, Recent economic and financial developments JEL Code(s): C, C5, C51, Q, Q0, Q02

• 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 Topic(s): Econometric and statistical methods, Financial markets, Recent economic and financial developments JEL Code(s): Q, Q1, Q18, Q2, Q28, Q4, Q42, Q5, Q58