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An empirical exploration of the world oil price under the target zone model

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Cited by:

  1. Wirl, Franz, 2008. "Why do oil prices jump (or fall)?," Energy Policy, Elsevier, vol. 36(3), pages 1029-1043, March.
  2. Melike Bildirici & Özgür Ömer Ersin, 2014. "Nonlinearity, Volatility and Fractional Integration in Daily Oil Prices: Smooth Transition Autoregressive ST-FI(AP)GARCH Models," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 108-135, October.
  3. Oleg Korenok & Stanislav Radchenko, 2005. "The smooth transition autoregressive target zone model with the Gaussian stochastic volatility and TGARCH error terms with applications," Econometrics 0508015, University Library of Munich, Germany.
  4. Chen, Li-Ju & Ye, Chusheng & Hu, Shih-Wen & Wang, Vey & Wen, Jiandong, 2013. "The Effect of a Target Zone on the Stabilization of Agricultural Prices and Farmers' Nominal Income," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(1), pages 1-14, April.
  5. 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.
  6. Slaibi, Ahmad & Chapman, Duane & Daouk, Hazem, 2005. "An Econometric Evaluation of A Geopolitical Theory of Oil Price Behavior," Working Papers 127131, Cornell University, Department of Applied Economics and Management.
  7. repec:bla:rdevec:v:14:y:2010:i:s1:p:499-519 is not listed on IDEAS
  8. Ghaffari, Ali & Zare, Samaneh, 2009. "A novel algorithm for prediction of crude oil price variation based on soft computing," Energy Economics, Elsevier, vol. 31(4), pages 531-536, July.
  9. Khalid Kisswani, 2014. "OPEC and political considerations when deciding on oil extraction," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(1), pages 96-118, January.
  10. Shawkat Hammoudeh & Eisa Aleisa, 2004. "Dynamic Relationships among GCC Stock Markets and Nymex Oil Futures," Contemporary Economic Policy, Western Economic Association International, vol. 22(2), pages 250-269, April.
  11. Nuhu Isah & Abdul Talib Bon, 2017. "Application of Markov Model in Crude Oil Price Forecasting," Traektoriâ Nauki = Path of Science, Altezoro, s.r.o. & Dialog, vol. 3(8(25)), pages 1007-1012, August.
  12. Durand-Lasserve, Olivier & Pierru, Axel, 2021. "Modeling world oil market questions: An economic perspective," Energy Policy, Elsevier, vol. 159(C).
  13. 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.
  14. Bharati, Rakesh & Crain, Susan J. & Kaminski, Vincent, 2012. "Clustering in crude oil prices and the target pricing zone hypothesis," Energy Economics, Elsevier, vol. 34(4), pages 1115-1123.
  15. Abdollahi, Hooman & Ebrahimi, Seyed Babak, 2020. "A new hybrid model for forecasting Brent crude oil price," Energy, Elsevier, vol. 200(C).
  16. Manel Hamdi & Chaker Aloui, 2015. "Forecasting Crude Oil Price Using Artificial Neural Networks: A Literature Survey," Economics Bulletin, AccessEcon, vol. 35(2), pages 1339-1359.
  17. Hammoudeh, Shawkat & Li, Huimin, 2004. "The impact of the Asian crisis on the behavior of US and international petroleum prices," Energy Economics, Elsevier, vol. 26(1), pages 135-160, January.
  18. Safari, Ali & Davallou, Maryam, 2018. "Oil price forecasting using a hybrid model," Energy, Elsevier, vol. 148(C), pages 49-58.
  19. Hammoudeh, Shawkat & Li, Huimin, 2008. "Sudden changes in volatility in emerging markets: The case of Gulf Arab stock markets," International Review of Financial Analysis, Elsevier, vol. 17(1), pages 47-63.
  20. Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2008. "Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm," Energy Economics, Elsevier, vol. 30(5), pages 2623-2635, September.
  21. Godarzi, Ali Abbasi & Amiri, Rohollah Madadi & Talaei, Alireza & Jamasb, Tooraj, 2014. "Predicting oil price movements: A dynamic Artificial Neural Network approach," Energy Policy, Elsevier, vol. 68(C), pages 371-382.
  22. Radchenko, Stanislav & Shapiro, Dmitry, 2011. "Anticipated and unanticipated effects of crude oil prices and gasoline inventory changes on gasoline prices," Energy Economics, Elsevier, vol. 33(5), pages 758-769, September.
  23. Fan, Ying & Liang, Qiang & Wei, Yi-Ming, 2008. "A generalized pattern matching approach for multi-step prediction of crude oil price," Energy Economics, Elsevier, vol. 30(3), pages 889-904, May.
  24. Wirl, Franz, 2015. "Output adjusting cartels facing dynamic, convex demand under uncertainty: The case of OPEC," Economic Modelling, Elsevier, vol. 44(C), pages 307-316.
  25. Hammoudeh, Shawkat & Choi, Kyongwook, 2006. "Behavior of GCC stock markets and impacts of US oil and financial markets," Research in International Business and Finance, Elsevier, vol. 20(1), pages 22-44, March.
  26. Abdollahi, Hooman, 2020. "A novel hybrid model for forecasting crude oil price based on time series decomposition," Applied Energy, Elsevier, vol. 267(C).
  27. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
  28. Kaushik Ranjan Bandyopadhyay, 2022. "Oil and Gas Markets and COVID-19: A Critical Rumination on Drivers, Triggers, and Volatility," Energies, MDPI, vol. 15(8), pages 1-21, April.
  29. Hui, Cho-Hoi & Lo, Chi-Fai & Cheung, Chi-Hin & Wong, Andrew, 2020. "Crude oil price dynamics with crash risk under fundamental shocks," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
  30. Chen, Wei-Peng & Choudhry, Taufiq & Wu, Chih-Chiang, 2013. "The extreme value in crude oil and US dollar markets," Journal of International Money and Finance, Elsevier, vol. 36(C), pages 191-210.
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