IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!)

Citations for "The Predictive Content of Energy Futures: An Update on Petroleum, Natural Gas, Heating Oil and Gasoline"

by Menzie D. Chinn & Michael LeBlanc & Olivier Coibion

For a complete description of this item, click here. For a RSS feed for citations of this item, click here.
as in new window

  1. Giliola Frey & Matteo Manera & Anil Markandya & Elisa Scarpa, 2009. "Econometric Models for Oil Price Forecasting: A Critical Survey," CESifo Forum, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 10(1), pages 29-44, 04.
  2. James D. Hamilton, 2009. "Understanding Crude Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 179-206.
  3. Jeffrey A Frankel & Andrew K Rose, 2010. "Determinants of Agricultural and Mineral Commodity Prices," RBA Annual Conference Volume, in: Renée Fry & Callum Jones & Christopher Kent (ed.), Inflation in an Era of Relative Price Shocks Reserve Bank of Australia.
  4. Jerry Coakley & Jian Dollery & Neil Kellard, 2011. "Long memory and structural breaks in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(11), pages 1076-1113, November.
  5. Thomas A. Knetsch, 2007. "Forecasting the price of crude oil via convenience yield predictions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(7), pages 527-549.
  6. Menzie D. Chinn & Olivier Coibion, 2010. "The Predictive Content of Commodity Futures," Working Papers 89, Department of Economics, College of William and Mary.
  7. Alessio Anzuini & Patrizio Pagano & Massimiliano Pisani, 2013. "Macroeconomic effects of precautionary demand for oil," Temi di discussione (Economic working papers) 918, Bank of Italy, Economic Research and International Relations Area.
  8. Wang, Yudong & Wu, Chongfeng, 2013. "Are crude oil spot and futures prices cointegrated? Not always!," Economic Modelling, Elsevier, vol. 33(C), pages 641-650.
  9. de Almeida, Pedro & Silva, Pedro D., 2009. "The peak of oil production--Timings and market recognition," Energy Policy, Elsevier, vol. 37(4), pages 1267-1276, April.
  10. Jeffrey A. Frankel, 2013. "Effects of Speculation and Interest Rates in a "Carry Trade" Model of Commodity Prices," NBER Working Papers 19463, National Bureau of Economic Research, Inc.
  11. Wong-Parodi, Gabrielle & Dale, Larry & Lekov, Alex, 2006. "Comparing price forecast accuracy of natural gas models and futures markets," Energy Policy, Elsevier, vol. 34(18), pages 4115-4122, December.
  12. Tao Wu & Michele Cavallo, 2012. "Measuring Oil-Price Shocks Using Market-Based Information," IMF Working Papers 12/19, International Monetary Fund.
  13. Andrea Bastianin & Matteo Manera & Anil Markandya & Elisa Scarpa, 2011. "Oil Price Forecast Evaluation with Flexible Loss Functions," Working Papers 2011.91, Fondazione Eni Enrico Mattei.
  14. Carlos Caceres & Leandro Medina, 2012. "Measures of Fiscal Risk in Hydrocarbon-Exporting Countries," IMF Working Papers 12/260, International Monetary Fund.
  15. Beckmann, Joscha & Belke, Ansgar & Czudaj, Robert, 2014. "Regime-dependent adjustment in energy spot and futures markets," Economic Modelling, Elsevier, vol. 40(C), pages 400-409.
  16. Matteo Manera & Chiara Longo & Anil Markandya & Elisa Scarpa, 2007. "Evaluating the Empirical Performance of Alternative Econometric Models for Oil Price Forecasting," Working Papers 2007.4, Fondazione Eni Enrico Mattei.
  17. Naser, Hanan, 2016. "Estimating and forecasting the real prices of crude oil: A data rich model using a dynamic model averaging (DMA) approach," Energy Economics, Elsevier, vol. 56(C), pages 75-87.
  18. Timothy Dunne & Xiaoyi Mu, 2008. "Investment spikes and uncertainty in the petroleum refining industry," Working Paper 0805, Federal Reserve Bank of Cleveland.
  19. Reitz Stefan & Rülke Jan-Christoph & Stadtmann Georg, 2010. "Regressive Oil Price Expectations Toward More Fundamental Values of the Oil Price," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(4), pages 454-466, August.
  20. Patrizio Pagano & Massimiliano Pisani, 2006. "Risk-Adjusted Forecasts of Oil Prices," Temi di discussione (Economic working papers) 585, Bank of Italy, Economic Research and International Relations Area.
  21. Ashima Goyal & Shruti Tripathi, 2012. "Regulations and price discovery: oil spot and futures markets," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2012-016, Indira Gandhi Institute of Development Research, Mumbai, India.
  22. Tonn, Victor Lux & Li, H.C. & McCarthy, Joseph, 2010. "Wavelet domain correlation between the futures prices of natural gas and oil," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(4), pages 408-414, November.
  23. Chen, Shyh-Wei & Lin, Shih-Mo, 2014. "Non-linear dynamics in international resource markets: Evidence from regime switching approach," Research in International Business and Finance, Elsevier, vol. 30(C), pages 233-247.
  24. Chantziara, Thalia & Skiadopoulos, George, 2008. "Can the dynamics of the term structure of petroleum futures be forecasted? Evidence from major markets," Energy Economics, Elsevier, vol. 30(3), pages 962-985, May.
  25. Trevor A. Reeve & Robert J. Vigfusson, 2011. "Evaluating the forecasting performance of commodity futures prices," International Finance Discussion Papers 1025, Board of Governors of the Federal Reserve System (U.S.).
  26. Ghoddusi, Hamed, 2016. "Integration of physical and futures prices in the US natural gas market," Energy Economics, Elsevier, vol. 56(C), pages 229-238.
  27. Ai Han & Yanan He & Yongmiao Hong & Shouyang Wang, 2013. "Forecasting Interval-valued Crude Oil Prices via Autoregressive Conditional Interval Models," WISE Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  28. Alquist, Ron & Kilian, Lutz, 2007. "What Do We Learn from the Price of Crude Oil Futures?," CEPR Discussion Papers 6548, C.E.P.R. Discussion Papers.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.