IDEAS home Printed from https://ideas.repec.org/r/taf/applec/v43y2011i24p3337-3347.html
   My bibliography  Save this item

Causality in crude oil prices

Citations

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


Cited by:

  1. Zhang, Dan & Farnoosh, Arash & Lantz, Frédéric, 2022. "Does something change in the oil market with the COVID-19 crisis?," International Economics, Elsevier, vol. 169(C), pages 252-268.
  2. Pershin, Vitaly & Molero, Juan Carlos & de Gracia, Fernando Perez, 2016. "Exploring the oil prices and exchange rates nexus in some African economies," Journal of Policy Modeling, Elsevier, vol. 38(1), pages 166-180.
  3. Wlazlowski, Szymon & Giulietti, Monica & Binner, Jane & Milas, Costas, 2009. "Price dynamics in European petroleum markets," Energy Economics, Elsevier, vol. 31(1), pages 99-108, January.
  4. Candelon, Bertrand & Joëts, Marc & Tokpavi, Sessi, 2013. "Testing for Granger causality in distribution tails: An application to oil markets integration," Economic Modelling, Elsevier, vol. 31(C), pages 276-285.
  5. Giulietti, Monica & Iregui, Ana María & Otero, Jesús, 2015. "A pair-wise analysis of the law of one price: Evidence from the crude oil market," Economics Letters, Elsevier, vol. 129(C), pages 39-41.
  6. Otero, Jesús & Argüello, Ricardo & Oviedo, Juan Daniel & Ramírez, Manuel, 2018. "Explaining coffee price differentials in terms of chemical markers: Evidence from a pairwise approach," Economic Modelling, Elsevier, vol. 72(C), pages 190-201.
  7. James Fenske & Igor Zurimendi, 2017. "Oil and ethnic inequality in Nigeria," Journal of Economic Growth, Springer, vol. 22(4), pages 397-420, December.
  8. Jammazi, Rania, 2012. "Oil shock transmission to stock market returns: Wavelet-multivariate Markov switching GARCH approach," Energy, Elsevier, vol. 37(1), pages 430-454.
  9. Bertrand Candelon & Marc Joëts & Sessi Tokpavi, 2012. "Testing for crude oil markets globalization during extreme price movements," Post-Print hal-01411687, HAL.
  10. Niyati Bhanja & Samia Nasreen & Arif Billah Dar & Aviral Kumar Tiwari, 2022. "Connectedness in International Crude Oil Markets," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 227-262, January.
  11. Monge, Manuel & Gil-Alana, Luis Alberiko, 2021. "Spatial crude oil production divergence and crude oil price behaviour in the United States," Energy, Elsevier, vol. 232(C).
  12. 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.
  13. Alexeeva-Talebi, Victoria, 2011. "Cost pass-through of the EU emissions allowances: Examining the European petroleum markets," Energy Economics, Elsevier, vol. 33(S1), pages 75-83.
  14. Xiaoyong Xiao & Jing Huang, 2018. "Dynamic Connectedness of International Crude Oil Prices: The Diebold–Yilmaz Approach," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
  15. Cerqueti, Roy & Fanelli, Viviana & Rotundo, Giulia, 2019. "Long run analysis of crude oil portfolios," Energy Economics, Elsevier, vol. 79(C), pages 183-205.
  16. Song, Yu & Chen, Bo & Hou, Na & Yang, Yi, 2022. "Terrorist attacks and oil prices: A time-varying causal relationship analysis," Energy, Elsevier, vol. 246(C).
  17. Jena, Sangram Keshari & Tiwari, Aviral Kumar & Aikins Abakah, Emmanuel Joel & Hammoudeh, Shawkat, 2022. "The connectedness in the world petroleum futures markets using a Quantile VAR approach," Journal of Commodity Markets, Elsevier, vol. 27(C).
  18. Ji, Qiang & Fan, Ying, 2016. "Evolution of the world crude oil market integration: A graph theory analysis," Energy Economics, Elsevier, vol. 53(C), pages 90-100.
  19. Kuck, Konstantin & Schweikert, Karsten, 2017. "A Markov regime-switching model of crude oil market integration," Journal of Commodity Markets, Elsevier, vol. 6(C), pages 16-31.
  20. Niyati Bhanja & Arif Billah Dar & Aviral Kumar Tiwari, 2018. "Do Global Crude Oil Markets Behave as One Great Pool? A Cyclical Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(2), pages 219-241, November.
  21. Viviana Fanelli, 2024. "Mean-Reverting Statistical Arbitrage Strategies in Crude Oil Markets," Risks, MDPI, vol. 12(7), pages 1-19, June.
  22. Huang, Shupei & An, Haizhong & Gao, Xiangyun & Wen, Shaobo & Jia, Xiaoliang, 2016. "The global interdependence among oil-equity nexuses," Energy, Elsevier, vol. 107(C), pages 259-271.
  23. Zhang, Qi & Di, Peng & Farnoosh, Arash, 2021. "Study on the impacts of Shanghai crude oil futures on global oil market and oil industry based on VECM and DAG models," Energy, Elsevier, vol. 223(C).
  24. McLean, Sheldon & Charles, Don & Rajkumar, Antonio, 2021. "Navigating transfer pricing risk in the oil and gas sector: Essential elements of a policy framework for Trinidad and Tobago and Guyana," Studies and Perspectives – ECLAC Subregional Headquarters for The Caribbean 101, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  25. Charles, Don & McLean, Sheldon & Rajkumar, Antonio, 2021. "Navigating transfer pricing risk in the oil and gas sector: Essential elements of a policy framework for Trinidad and Tobago and Guyana," Studies and Perspectives – ECLAC Subregional Headquarters for The Caribbean 46813, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  26. Zhang, Dayong & Ji, Qiang & Kutan, Ali M., 2019. "Dynamic transmission mechanisms in global crude oil prices: Estimation and implications," Energy, Elsevier, vol. 175(C), pages 1181-1193.
  27. Dan Zhang & Arash Farnoosh & Frédéric Lantz, 2022. "Does something change in the oil market with the COVID-19 crisis?," International Economics, CEPII research center, issue 169, pages 252-268.
  28. Giulietti, Monica & Iregui, Ana María & Otero, Jesús, 2014. "Crude oil price differentials, product heterogeneity and institutional arrangements," Energy Economics, Elsevier, vol. 46(S1), pages 28-32.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.