IDEAS home Printed from https://ideas.repec.org/r/eee/eneeco/v30y2008i5p2609-2622.html
   My bibliography  Save this item

Oil prices: The role of refinery utilization, futures markets and non-linearities

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Silvério, Renan & Szklo, Alexandre, 2012. "The effect of the financial sector on the evolution of oil prices: Analysis of the contribution of the futures market to the price discovery process in the WTI spot market," Energy Economics, Elsevier, vol. 34(6), pages 1799-1808.
  2. Krzysztof Drachal, 2018. "Determining Time-Varying Drivers of Spot Oil Price in a Dynamic Model Averaging Framework," Energies, MDPI, vol. 11(5), pages 1-24, May.
  3. Ames, Matthew & Bagnarosa, Guillaume & Matsui, Tomoko & Peters, Gareth W. & Shevchenko, Pavel V., 2020. "Which risk factors drive oil futures price curves?," Energy Economics, Elsevier, vol. 87(C).
  4. Kaufmann, Robert K., 2011. "The role of market fundamentals and speculation in recent price changes for crude oil," Energy Policy, Elsevier, vol. 39(1), pages 105-115, January.
  5. Liu, Feng & Zhang, Chuanguo & Tang, Mengying, 2021. "The impacts of oil price shocks and jumps on China's nonferrous metal markets," Resources Policy, Elsevier, vol. 73(C).
  6. Andreas Breitenfellner & Jesus Crespo Cuaresma, 2008. "Crude Oil Prices and the USD/EUR Exchange Rate," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 4.
  7. Meyler, Aidan, 2009. "The pass through of oil prices into euro area consumer liquid fuel prices in an environment of high and volatile oil prices," Energy Economics, Elsevier, vol. 31(6), pages 867-881, November.
  8. Gronwald, Marc, 2012. "A characterization of oil price behavior — Evidence from jump models," Energy Economics, Elsevier, vol. 34(5), pages 1310-1317.
  9. Miao, Hong & Ramchander, Sanjay & Wang, Tianyang & Yang, Dongxiao, 2017. "Influential factors in crude oil price forecasting," Energy Economics, Elsevier, vol. 68(C), pages 77-88.
  10. Drachal, Krzysztof, 2016. "Forecasting spot oil price in a dynamic model averaging framework — Have the determinants changed over time?," Energy Economics, Elsevier, vol. 60(C), pages 35-46.
  11. Kaufmann, Robert K. & Ullman, Ben, 2009. "Oil prices, speculation, and fundamentals: Interpreting causal relations among spot and futures prices," Energy Economics, Elsevier, vol. 31(4), pages 550-558, July.
  12. Fan, Ying & Xu, Jin-Hua, 2011. "What has driven oil prices since 2000? A structural change perspective," Energy Economics, Elsevier, vol. 33(6), pages 1082-1094.
  13. Chevillon, Guillaume & Rifflart, Christine, 2009. "Physical market determinants of the price of crude oil and the market premium," Energy Economics, Elsevier, vol. 31(4), pages 537-549, July.
  14. Kaufmann, Robert K. & Dees, Stephane & Mann, Micheal, 2009. "Horizontal and vertical transmissions in the US oil supply chain," Energy Policy, Elsevier, vol. 37(2), pages 644-650, February.
  15. Lammerding, Marc & Stephan, Patrick & Trede, Mark & Wilfling, Bernd, 2013. "Speculative bubbles in recent oil price dynamics: Evidence from a Bayesian Markov-switching state-space approach," Energy Economics, Elsevier, vol. 36(C), pages 491-502.
  16. Wajdi Hamza Dawod Alredany, 2018. "A Regression Analysis of Determinants Affecting Crude Oil Price," International Journal of Energy Economics and Policy, Econjournals, vol. 8(4), pages 110-119.
  17. Kolodzeij, Marek & Kaufmann, Robert.K., 2014. "Oil demand shocks reconsidered: A cointegrated vector autoregression," Energy Economics, Elsevier, vol. 41(C), pages 33-40.
  18. Mohsin, Muhammad & Jamaani, Fouad, 2023. "Green finance and the socio-politico-economic factors’ impact on the future oil prices: Evidence from machine learning," Resources Policy, Elsevier, vol. 85(PA).
  19. Li, Hong & Xiaowen Lin, Sharon, 2011. "Do emerging markets matter in the world oil pricing system? Evidence of imported crude by China and India," Energy Policy, Elsevier, vol. 39(8), pages 4624-4630, August.
  20. Antonio Merino & Rebeca Albacete, 2010. "Econometric modelling for short-term oil price forecasting," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 34(1), pages 25-41, March.
  21. Hahn, Warren J. & DiLellio, James A. & Dyer, James S., 2014. "What do market-calibrated stochastic processes indicate about the long-term price of crude oil?," Energy Economics, Elsevier, vol. 44(C), pages 212-221.
  22. Gomes, Gabriel Lourenço & Szklo, Alexandre & Schaeffer, Roberto, 2009. "The impact of CO2 taxation on the configuration of new refineries: An application to Brazil," Energy Policy, Elsevier, vol. 37(12), pages 5519-5529, December.
  23. Genc, Talat S., 2017. "OPEC and demand response to crude oil prices," Energy Economics, Elsevier, vol. 66(C), pages 238-246.
  24. Lycheva, Maria & Mironenkov, Alexey & Kurbatskii, Alexey & Fantazzini, Dean, 2022. "Forecasting oil prices with penalized regressions, variance risk premia and Google data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 28-49.
  25. Ayman Omar, 2015. "West Texas Intermediate and Brent Spread during Organization of the Petroleum Exporting Countries Supply Disruptions," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 693-703.
  26. Coleman, Les, 2012. "Explaining crude oil prices using fundamental measures," Energy Policy, Elsevier, vol. 40(C), pages 318-324.
  27. Kaufmann, Robert K., 2016. "Price differences among crude oils: The private costs of supply disruptions," Energy Economics, Elsevier, vol. 56(C), pages 1-8.
  28. Kesicki, Fabian, 2010. "The third oil price surge - What's different this time?," Energy Policy, Elsevier, vol. 38(3), pages 1596-1606, March.
  29. Kolodziej, Marek & Kaufmann, Robert K. & Kulatilaka, Nalin & Bicchetti, David & Maystre, Nicolas, 2014. "Crude oil: Commodity or financial asset?," Energy Economics, Elsevier, vol. 46(C), pages 216-223.
  30. Ai Han & Yanan He & Yongmiao Hong & Shouyang Wang, 2013. "Forecasting Interval-valued Crude Oil Prices via Autoregressive Conditional Interval Models," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.