Forecasting crude oil price using artificial neural networks: A literature survey

Economics Bulletin

Volumn 35, Issue 2, 2015, Pages 1339-1359

  Hamdi, Manel ^a   Aloui, Chaker ^b  

^a UNIVERSITY OF TUNIS EL MANAR   (Tunisia)

^b KING SAUD UNIVERSITY   (Saudi Arabia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84931263759     PISSN: None     EISSN: 15452921     Source Type: Journal    
DOI: None     Document Type: Article

References (75)

1. Abdullah, S. N. and Zeng, X. (2010) "Machine learning approach for crude oil price prediction with Artificial Neural Networks-Quantitative (ANN-Q) model" Proceedings of the International Joint Conference on Neural Networks (IJCNN'2010), 1-8.
2. Agnolucci, P. (2009) "Volatility in crude oil futures: A comparison of the predictive ability of GARCH and implied volatility models" Energy Economics 31, 316-321.
3. Alizadeh, A. and Mafinezhad, K (2010) "Monthly Brent Oil Price Forecasting Using Artificial Neural Networks and A Crisis Index" Proceedings of the International Conference On Electronics And Information Engineering (ICEIE'2010), 2, 465-468.
4. Aloui, C. Hamdi, M., Mensi, W. and Nguyen, D. Y. (2012) "Further evidence on the timevarying efficiency of crude oil markets" Energy Studies Review 19(2), 38-51.
5. Amano A. (1987) "A Small Forecasting Model of the World Oil Market" Journal of Policy Modeling 9(4), 615-635.
6. Amin-Naseri, M. R. and Gharacheh, E. A. (2007) "A hybrid artificial intelligence approach to monthly forecasting of crude oil price time series" The Proceedings of the 10th International Conference on Engineering Applications of Neural Networks (CEANN'2007), 160-167.
7. Barone-Adesi, G., Bourgoin, F. and Giannopoulos, K. (1998) "Don't Look Back" Risk 11, 100-104.
8. Beidas-Strom, S. and Pescatori, A. (2014) "Oil price volatility and the role of speculation" IMF working paper (WP/14/218).
9. Bernabe, A., Martina, E., Alvarez-Ramirez, J. and Ibarra-Valdez, C. (2004) "A multi-model approach for describing crude oil price dynamics" Physica A: Statistical Mechanics and its Applications 338(3), 567-584.
10. Blanchard, O. J. and Gali, J. (2007) "The macroeconomic effects of oil shocks: Why are the 2000s so different from 1970s?" NBER working paper number 13368, 1-77.
11. Cheong, C.W. (2009) "Modelling and forecasting crude oil markets using ARCH-type models" Energy Policy 37, 2346-2355.
12. Dees, S., Karadeloglou, P., Kaufmann, R. K. and Sanchez, M. (2007) "Modelling the world oil market: assessment of a quarterly econometric model" Energy Policy 35, 178-191.
13. Fattouh, B. (2012) "Speculation and oil price formation", Review of Environment, Energy and Economics (Re3), 1-5.
14. Ghaffari, A. and Zare, S. (2009) "A novel algorithm for prediction of crude oil price variation based on soft computing" Energy Economics 31, 531-536.
15. Ghouri, S. S. (2006) "Assessment of the relationship between oil prices and US oil stocks" Energy Policy 34, 3327-3333.
16. Gomes, G. S. D. S., Ludermir, T. B. and Lima, L. M. M. R. (2011) "Comparison of new activation functions in neural network for forecasting financial time series" Neural Computing and Applications 20(3), 417-439.
17. Gori, F., Ludovisi, D. and Cerritelli, P.F. (2007) "Forecast of oil price and consumption in the short term under three scenarios: Parabolic, linear and chaotic behavior" Energy 32, 1291-1296.
18. Gulen, S. G. (1998) "Efficiency in the Crude Oil Futures Markets" Journal of Energy Finance and Development 3, 13-21.
19. Hagen, R. (1994) "How is the international price of particular crude determined?" OPEC Review 18, 145-158.
20. Hamilton, J. D. (1996) "This is what happened to the Oil-Macroeconomy relationship" Journal of Monetary Economics 38(2), 215-220.
21. Hamilton, J. D. (2008) "Understanding crude oil prices" The Energy Journal, International Association for Energy Economics 30(2), 179-206.
22. Hamilton, J. D. (2010) "Nonlinearities and the macroeconomic effects of oil prices" NBER working paper number 16186, 1-22.
23. Haidar, I., Kulkarni, S. and Pan, H. (2008) "Forecasting model for crude oil prices based on artificial neural networks" Proceedings of the International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP '2008), 103-108.
24. Haykin, S. (1999) "Neural networks: A comprehensive foundation" Prentice Hall, New Jersey.
25. Hornik, K., Stinchcombe, M. and White, H. (1989) "Multi-layer feedforward networks are universal approximators" Neural Networks 2, 359-366.
26. Huntington, H. G. (1994) "Oil Price Forecasting in the 1980s: What Went Wrong?" The Energy Journal 15(2), 1-22.
27. Jammazi, R. and Aloui, C. (2012) "Crude oil price forecasting: Experimental evidence from wavelet decomposition and neural network modeling" Energy Economics 34(3), 828-841.
28. Kaboudan, M. A. (2001) "Compumetric forecasting of crude oil prices" Congress on Evolutionary Computation 1, 283-287.
29. Kang, S.H., Kang, S.M. and Yoon, S.M. (2009) "Forecasting Volatility of Crude Oil Markets" Energy Economics 31, 119-125.
30. Kilian, L. (2008) " The Economic effects of energy price shocks" Journal of Economic Literature 46(4), 871-909.
31. Kilian, L., Fattouh, B. and Mahadeva, L. (2013) " The role of speculation in oil markets: What have we learned so far?" The Energy Journal 34(3), 7-33.
32. Kilian, L. and Murphy, D. P. (2011) " The role of inventories and speculative trading in the global market for crude oil" Working paper. University of Michigan.
33. Kohonen, T. (1982) " Self-Organized Formation of Topologically Correct Feature Maps" Biological Cybernetics 43, 59-69.
34. Kulkarni, S. and Haidar, I. (2009) "Forecasting model for crude oil price using artificial neural networks and commodity futures prices" International Journal of Computer Science & Information Security 2(1), 81-88.
35. Lackes, R., Börgermann, C. and Dirkmorfeld, M. (2009) "Forecasting the Price Development of Crude Oil with Artificial Neural Networks" Lecture Notes in Computer Science 5518, 248-255.
36. Lanza, A., Manera, M. and Giovannini, M. (2005) "Modeling and forecasting cointegrated relationships among heavy oil and product prices" Energy Economics 27, 831-848.
37. Liu, J., Bai, Y. and Li, B. (2007) "A new approach to forecast crude oil price based on fuzzy neural network" Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD '2007), 273-277.
38. McCulloch, W. S. and Pitts, W. A. (1943) "A logical calculus of the ideas immanent in nervous activity" Bulletin of Mathematical Biophysics 5, 115-33.
39. Minsky, M. and Papert, S. (1969) "Perceptrons: An Introduction to Computational Geometry" The MIT Press, Cambridge, MA.
40. Mirmirani, S. and Li, H.C. (2004) "A comparison of VAR and neural networks with genetic algorithm in forecasting price of oil" Advances in Econometrics 19, 203-223.
41. Mohammadi, H. and L. Su. (2010) "International Evidence on Crude Oil Price Dynamics: Applications of ARIMA-GARCH Models" Energy Economics 32, 1001-1008.
42. Morana, C. (2001) "A semiparametric approach to short-term oil price forecasting" Energy Economics 23, 325-338.
43. Moshiri, S. and Foroutan, F. (2006) "Forecasting Nonlinear Crude Oil Future Prices" The Energy Journal 27, 83-97.
44. Murat, A. and Tokat, E. (2009) "Forecasting Oil Price Movements with Crack Spread Futures" Energy Economics 31(1), 85-90.
45. Narayan, P. and Narayan, S. (2007) "Modelling Oil Price Volatility" Energy Policy 35, 6549-6553.
46. Nelson, Y., Stoner, S., Gemis, G. and Nix, H.D. (1994) "Results of Delphi VIII survey of oil price forecasts" Energy Report, California Energy Commission.
47. Plourde, A. and Watkins, G. C. (1994) "How volatile are crude oil prices?" OPEC Review 18(4), 431-444.
48. Qunli, W., Hao, G. and Xiaodong, C. (2009) "Crude Oil Price Forecasting with an Improved Model Based on Wavelet Transform and RBF Neural Network" International Forum on Information Technology and Applications (IFITA '2009), 231-234.
49. Rast, M. (2001) "Fuzzy neural networks for modelling commodity markets" The Proceedings of the Conference of the North American Fuzzy Information Processing Society (NAFIPS'2001), 952-955.
50. Rosenblatt, F. (1958) "The Perceptron: A probabilistic model for information storage and organization in the brain" Psychological Review 65, 386-408.
51. Rumelhart, D. E., Hinton, G. E. and Williams, R. J. (1986) "Learning internal representations by error propagation" In: Rumelhart D E, McClelland J L et al. (eds.) Parallel Distributed Processing: Explorations in Microstructure of Cognition. MIT Press, Cambridge, MA, 1, 318-362.
52. Sadorsky, P. (2006) "Modelling and Forecasting Petroleum Futures Volatility" Energy Economics 28, 467-488.
53. Shambora, W. E. and Rossiter, R. (2007) "Are there exploitable inefficiencies in the futures market for oil?" Energy Economics 29, 18-27.
54. Shao, Y., Taff, G.N. and Walsh, S.J. (2011) "Comparison of Early Stopping Criteria for Neural-Network-Based Subpixel Classification" IEEE Geoscience and Remote Sensing Letters 8(1), 113-117.
55. Stevens, P. (1995) "The determination of oil prices 1945-1995" Energy Policy 23, 861-870.
56. Sutton, R. S. and Barto, A. G. (1998) "Reinforcement Learning: An Introduction" The MIT Press, Cambridge, MA, A Bradford Book.
57. Tang, L. and Hammoudeh, S. (2002) "An empirical exploration of the world oil price under the target zone model" Energy Economics 24, 557-596.
58. Van der Baan, M. and Jutten, C. (2000) "Neural networks in geophysical applications" Geophysics 65(4), 1032-1047.
59. Wang, S., Yu, L. and Lai, K. K. (2005a) "A Novel Hybrid AI System Framework for Crude Oil Price Forecasting" Lecture Notes in Computer Science 3327, 233-242.
60. Wang, S.Y., Yu, L. and Lai, K.K. (2005b) "Crude oil price forecasting with TEI@I methodology" Journal of Systems Sciences and Complexity 18(2), 145-166.
61. Wang, S.Y., Yu, L. and Lai, K.K. (2004) "A novel hybrid AI system framework for crude oil price forecasting" Lecture Notes in Computer Science 3327, 233-242.
62. Wei, Y., Wang, Y. and Huang, D. (2010) "Forecasting Crude Oil Market Volatility: Further Evidence Using GARCH-class Models" Energy Economics 32, 1477-1484.
63. Weigend, A. S., and Gershenfeld, N. A. (1994) "Time Series Prediction: Forecasting the Future and Understanding the Past" Proceedings of the NATO Advanced Research Workshop on Comparative Time Series Analysis, Reading, MA: Addison-Wesley.
64. Widrow, B. and Hoff, M. E. (1960) "Adaptive switching circuits" Institute of Radio Enginners, Wester Electronic Show and Convention, Convention Record, Part 4, 96-104.
65. Xie, W., Yu, L., Xu, S. and Wang, S. (2006) "A new method for crude oil price forecasting based on support vector machines" Lecture notes in computer science 3994, 444-451.
66. Xiong, T., Bao,Y. and Hu, Z. (2013) "Modelling long-term oil price and extraction with a Hubbert Approach: The LOPEX model" Energy policy 34(15), 2413-2428.
67. Yang, C., Hwang, M. and Huang, B. (2002) "An Analysis of Factors Affecting Price Volatility of the US Oil Market" Energy Economics 24, 107-119.
68. Ye, M., Zyren, J. and Shore, J. (2002) "Forecasting crude oil spot price using OECD petroleum inventory levels" International Advances in Economic Research 8, 324-334.
69. Ye, M., Zyren, J. and Shore, J. (2005) "A monthly crude oil spot price forecasting using relative inventories" International Journal of Forecasting 21, 491-501.
70. Ye, M., Zyren, J. and Shore, J. (2006) "Forecasting short-run crude oil price using high- and low-inventory variables" Energy Policy 34(17), 2736-2734.
71. Yousefi, A. and Wirjanto, T. (2004) "The empirical role of the exchange rate on the crude-oil price formation" Energy Economics 26, 783-799.
72. Yu, L., Lai, K. K., Wang, S. Y. and He, K. J. (2007) "Oil price forecasting with an EMDbased multiscale neural network learning paradigm" Lecture Notes in Computer Science 4489, 925-932.
73. Yu, L., Wang, S. and Lai, K. K. (2008) "Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm" Energy Economics 30(5), 2623-2635.
74. Zamani, M. (2004) "An Econometrics Forecasting Model of Short Term Oil Spot Price" Paper presented at the 6th IAEE European Conference, Zurich, 2-3 September.
75. Zhang, G., Patuwo, B. E., and Hu, M. Y. (1998) "Forecasting with artificial neural networks: The state of the art" International Journal of Forecasting 14, 35-62.