Reinhard Ellwanger - Latest

• Cost Pass-Through with Capacity Constraints and International Linkages

  Staff Working Paper 2023-16 Reinhard Ellwanger, Hinnerk Gnutzmann, Piotr Śpiewanowski

  How are regional cost shocks passed through into global prices? We investigate the role of short-run capacity constraints and show that they can induce stark non-linearities in the pass-through. We highlight this effect for the market for ammonia, a commodity produced largely from natural gas.

  Content Type(s): Staff research, Staff working papers Topic(s): Climate change, Econometric and statistical methods, Inflation and prices, International topics JEL Code(s): L, L1, L13, L6, L65, Q, Q4, Q40, Q5, Q54

• Are Temporary Oil Supply Shocks Real?

  Staff Working Paper 2022-52 Johan Brannlund, Geoffrey R. Dunbar, Reinhard Ellwanger

  Hurricanes disrupt oil production in the Gulf of Mexico because producers shut in oil platforms to safeguard lives and prevent damage. We examine the effects of these temporary oil supply shocks on real economic activity in the United States.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Inflation and prices JEL Code(s): E, E3, E31, E32, Q, Q3, Q31, Q4, Q41, Q43

• Weather the Storms? Hurricanes, Technology and Oil Production

  Staff Working Paper 2022-36 Johan Brannlund, Geoffrey R. Dunbar, Reinhard Ellwanger, Matthew Krutkiewicz

  Do technological improvements mitigate the potential damages from extreme weather events? We show that hurricanes lower offshore oil production in the Gulf of Mexico and that stronger storms have larger impacts. Regulations enacted in 1980 that required improved offshore construction standards only modestly mitigated the production losses.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Climate change, Potential output JEL Code(s): C, C2, C22, C23, Q, Q4, Q40, Q48, Q5, Q54

• The New Benchmark for Forecasts of the Real Price of Crude Oil

  Staff Working Paper 2020-39 Amor Aniss Benmoussa, Reinhard Ellwanger, Stephen Snudden

  How can we assess the quality of a forecast? We propose a new benchmark to evaluate forecasts of temporally aggregated series and show that the real price of oil is more difficult to predict than we thought.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C1, C5, C53, Q, Q4, Q47

• The Effect of Oil Price Shocks on Asset Markets: Evidence from Oil Inventory News

  Staff Working Paper 2020-8 Ron Alquist, Reinhard Ellwanger, Jianjian Jin

  We quantify the reaction of U.S. equity, bond futures, and exchange rate returns to oil price shocks driven by oil inventory news.

  Content Type(s): Staff research, Staff working papers Topic(s): Financial markets, Recent economic and financial developments JEL Code(s): D, D8, D83, E, E4, E44, G, G1, G14, G15, Q, Q4, Q41, Q43

• The Simple Economics of Global Fuel Consumption

  Staff Working Paper 2019-35 Doga Bilgin, Reinhard Ellwanger

  This paper presents a structural framework of the global oil market that relies on information on global fuel consumption to identify flow demand for oil. We show that under mild identifying assumptions, data on global fuel consumption help to provide comparatively sharp insights on elasticities and other key structural parameters of the global oil market.

  Content Type(s): Staff research, Staff working papers Topic(s): Economic models JEL Code(s): C, C5, C51, L, L7, L71, Q, Q4, Q41, Q43

• A Structural Model of the Global Oil Market

  Staff Analytical Note 2019-17 Reinhard Ellwanger

  This note presents a structural vector autoregressive (SVAR) model of the global oil market. The model identifies four types of shocks with different economic interpretations: oil supply shocks, oil-market-specific demand shocks, storage demand shocks and shocks to global economic growth.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Economic models JEL Code(s): Q, Q4, Q41, 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