Artificial intelligence methods for oil price forecasting: a review and evaluation
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British Petroleum. Statistical review of world energy 2013. British Petroleum (2013)
International Energy Agency. World Energy Outlook, 2012. OECD/IEA (2012)
Benning, C., Pichersky, E.: Harnessing plant biomass for biofuels and biomaterials. Plant J. 54(4), 533–535 (2008)
Andreou, E., Pittis, N., Spanos, A.: On modelling speculative prices: the empirical literature. J. Econ. Surv. 15(2), 187–220 (2001)
Arouri, M.E.H., Lahiani, A., Lévy, A., Nguyen, D.K.: Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models. Energy Econ. 34(1), 283–293 (2012)
Bing, X., Ouenniche, J.: A data envelopment analysis-based framework for the relative performance evaluation of competing crude oil prices’ volatility forecasting models. Energy Econ. 34(2), 576–583 (2012)
He, K., Yu, L., Lai, K.K.: Crude oil price analysis and forecasting using wavelet decomposed ensemble model. Energy 46(1):564–574 (2012)
Mohammadi, H., Lixian, S.: International evidence on crude oil price dynamics: applications of ARIMA-GARCH models. Energy Econ. 32(5), 1001–1008 (2010)
Tian, Z., Swanson, N.R.: Predictive evaluation of econometric forecasting models in commodity futures markets. Stud. Nonlinear Dyn. Econom. 2(4), 159–177 (1998)
Zhang, X., Wu, Q., Zhang, J.: Crude oil price forecasting using fuzzy time series. In: 2010 3rd International Symposium on Knowledge Acquisition and Modeling (KAM), pp. 213–216. IEEE (2010)
Haidar, I., Kulkarni, S., Pan, H.: Forecasting model for crude oil prices based on artificial neural networks. In: International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2008 (ISSNIP 2008), pp. 103–108 (2008)
Chinn, MD., LeBlanc, M., Coibion, O.: The predictive content of energy futures: an update on petroleum, natural gas, heating oil and gasoline. Technical report, National Bureau of Economic Research (2005)
Alvarez-Ramirez, J., Rodriguez, E., Martina, E., Ibarra-Valdez, C.: Cyclical behavior of crude oil markets and economic recessions in the period 1986–2010. Technol. Forecast. Soc. Change 79(1), 47–58 (2012)
Movagharnejad, K., Mehdizadeh, B., Banihashemi, M., Kordkheili, M.S.: Forecasting the differences between various commercial oil prices in the persian gulf region by neural network. Energy 36(7), 3979–3984 (2011)
Weiqi, L., Linwei, M., Yaping, D., Pei, L.: An econometric modeling approach to short-term crude oil price forecasting. In: Control Conference (CCC), 2011 30th Chinese, pp. 1582–1585. IEEE (2011)
Dées, S., Gasteuil, A., Kaufmann, R., Mann, M.: Assessing the factors behind oil price changes (2008)
Jinliang, Z., Mingming, T., Mingxin, T.: Effects simulation of international gold prices on crude oil prices based on WBNNK model. In: ISECS International Colloquium on Computing, Communication, Control, and Management, 2009 (CCCM 2009), vol. 4, pp. 459–463 (2009)
Abdullah, S.N. Zeng, X.: Machine learning approach for crude oil price prediction with artificial neural networks-quantitative (ann-q) model. In: The 2010 International Joint Conference on Neural Networks (IJCNN), pp. 1–8 (2010)
de Souza e Silva, E.G., Legey, L.F.L., de Souza e Silva, E.A.: Forecasting oil price trends using wavelets and hidden markov models. Energy Econ. 32(6), 1507–1519 (2010)
Chernenko, S.V., Schwarz, K.B., Wright, J.H.: The information content of forward and futures prices: market expectations and the price of risk. Board of Governors of the Federal Reserve System (2004)
He, A.W.W., Kwok, J.T.K., Wan, A.T.K.: An empirical model of daily highs and lows of west texas intermediate crude oil prices. Energy Econ. 32(6), 1499–1506 (2010)
Eduardo, S., Smith, J.E.: Short-term variations and long-term dynamics in commodity prices. Manag. Sci. 46(7), 893–911 (2000)
Mazraati, Mohammad, Jazayeri, S.M.: Oil price movements and production agreements. OPEC Rev. 28(3), 207–226 (2004)
Moshiri, S., Foroutan, F.: Forecasting nonlinear crude oil futures prices. Energy J. 27(4), 81–96 (2006)
Radziukyniene, I., Boyko, N., Pardalos, P.: Model-based forecasting. Wiley encyclopedia of operations research and management science, vol. 5, pp. 3305–3312 (2011)
Hou, A., Suardi, S.: A nonparametric GARCH model of crude oil price return volatility. Energy Econ. 34(2), 618–626 (2012)
Sang, H.K., Kang, S.M., Yoon, S.M.: Forecasting volatility of crude oil markets. Energy Econ. 31(1), 119–125 (2009)
Wei, Y., Wang, Y., Huang, D.: Forecasting crude oil market volatility: further evidence using GARCH-class models. Energy Econ. 32(6), 1477–1484 (2010)
Huang, B.-N., Yang, C.W., Hwang, M.J.: The dynamics of a nonlinear relationship between crude oil spot and futures prices: a multivariate threshold regression approach. Energy Econ. 31(1), 91–98 (2009)
Lixia, L.: Nonlinear test and forecasting of petroleum futures prices time series. Energy Procedia 5, 754–758 (2011)
Kisswani, K.M., Nusair, S.A.: Non-linearities in the dynamics of oil prices. Energy Econ. 36, 341–353 (2013)
James, H.D.: Nonlinearities and the macroeconomic effects of oil prices. Macroecon. Dyn. 15(S3), 364–378 (2011)
Ye, M., Zyren, J., Shore, J.: Forecasting crude oil spot price using OECD petroleum inventory levels. Int. Adv. Econ. Res. 8(4), 324–333 (2002)
Ye, M., Zyren, J., Shore, J.: A monthly crude oil spot price forecasting model using relative inventories. Int. J. Forecast. 21(3), 491–501 (2005)
Ye, M., Zyren, J., Shore, J.: Forecasting short-run crude oil price using high-and low-inventory variables. Energy Policy 34(17), 2736–2743 (2006)
Zamani, M.: An econometrics forecasting model of short term oil spot price. In: 6th IAEE European Conference, Citeseer (2004)
Chai, J., Guo, J.E., Meng, L., Wang, S.Y.: Exploring the core factors and its dynamic effects on oil price: An application on path analysis and BVAR-TVP model. Energy Policy 39(12), 8022–8036 (2011)
Frey, G., Manera, M., Markandya, A., Scarpa, E.: Econometric models for oil price forecasting: a critical survey. In: CESifo Forum, vol. 10, pp. 29–44. Institute for Economic Research at the University of Munich (2009)
International Energy Agency. Oil Market Report, 2014. OECD/IEA (2014)
Pang, Y., Wei, X., Lean, Y., Ma, J., Lai, K.K., Wang, S., Xu, S.: Forecasting the crude oil spot price by wavelet neural networks using OECD petroleum inventory levels. New Math. Nat. Comput. 07(02), 281–297 (2011)
Timothy, C.J., Heo, E.: Price and inventory dynamics in petroleum product markets. Energy Econ. 22(5), 527–548 (2000)
Dées, S., Karadeloglou, P., Kaufmann, R.K., Sanchez, M.: Modelling the world oil market: assessment of a quarterly econometric model. Energy Policy 35(1), 178–191 (2007)
Ratti, R.A., Vespignani, J.L.: Crude oil prices and liquidity, the BRIC and G3 countries. Energy Econ. 39, 28–38 (2013)
Li, H., Lin, S.X.: Do emerging markets matter in the world oil pricing system? Evidence of imported crude by China and India. Energy Policy 39(8), 4624–4630 (2011)
Zhang, Y.-J., Wang, Z.-Y.: Investigating the price discovery and risk transfer functions in the crude oil and gasoline futures markets: some empirical evidence. Appl. Energy 104, 220–228 (2013)
Murat, A., Tokat, E.: Forecasting oil price movements with crack spread futures. Energy Econ. 31(1), 85–90 (2009)
Yang, W., Han, A., Cai, K., Wang, S.: ACIX model with interval dummy variables and its application in forecasting interval-valued crude oil prices. Procedia Comput. Sci. 9, 1273–1282 (2012)
He, Y., Wang, S., Lai, K.K.: Global economic activity and crude oil prices: a cointegration analysis. Energy Econ. 32(4), 868–876 (2010)
Hui, B.: Price dynamics and speculators in crude oil futures market. Syst. Eng. Procedia 2, 114–121 (2011)
Syed Abul, B., Haug, A.A., Sadorsky, P.: Oil prices, exchange rates and emerging stock markets. Energy Econ. 34(1), 227–240 (2012)
Zhang, X., Yu, L., Wang, S., Lai, K.K.: Estimating the impact of extreme events on crude oil price: an EMD-based event analysis method. Energy Econ. 31(5), 768–778 (2009)
Fong, W.M., See, K.H.: A markov switching model of the conditional volatility of crude oil futures prices. Energy Econ. 24(1), 71–95 (2002)
Haidar, I., Kulkarni, S., Pan, H.: Forecasting model for crude oil prices based on artificial neural networks. In: International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2008 (ISSNIP 2008), pp. 103–108. IEEE (2008)
Mahdi, A.A., Hussain, A.J., Al-Jumeily, D.: Adaptive neural network model using the immune system for financial time series forecasting. In: International Conference on Computational Intelligence, Modelling and Simulation, 2009 (CSSim ’09), pp. 104–109 (2009)
Bao, Y., Yang, Y., Xiong, T., Zhang, J.: A comparative study of multi-step-ahead prediction for crude oil price with support vector regression. In: 2011 Fourth International Joint Conference on Computational Sciences and Optimization (CSO), pp. 598–602 (2011)
Khashman, A., Nwulu, N.I.: Intelligent prediction of crude oil price using support vector machines. In: 2011 IEEE 9th International Symposium on Applied Machine Intelligence and Informatics (SAMI), pp. 165–169 (2011)
He, K., Lai, K.K., Yen, J.: Crude oil price prediction using slantlet denoising based hybrid models. In: International Joint Conference on Computational Sciences and Optimization, 2009 (CSO 2009), vol. 2, pp. 12–16 (2009)
Zhu, J.-R.: A new model for oil futures price forecasting based on cluster analysis. In: 4th International Conference on Wireless Communications, Networking and Mobile Computing, 2008 (WiCOM ’08), pp. 1–4 (2008)
He, K., Lai, K.K., Yen, J.: Morphological component analysis based hybrid approach for prediction of crude oil price. In: 2010 Third International Joint Conference on Computational Science and Optimization (CSO), vol. 1, pp. 423–427 (2010)
Azadeh, A., Moghaddam, M., Khakzad, M., Ebrahimipour, V.: A flexible neural network-fuzzy mathematical programming algorithm for improvement of oil price estimation and forecasting. Comput. Ind. Eng. 62(2), 421–430 (2012)
Malliaris, M.E., Malliaris, S.G.: Forecasting energy product prices. In: Proceedings of 2005 IEEE International Joint Conference on Neural Networks, 2005 (IJCNN ’05), vol. 5, pp. 3284–3289 (2005)
Alizadeh, A., Mafinezhad, K.: Monthly brent oil price forecasting using artificial neural networks and a crisis index. In: 2010 International Conference on Electronics and Information Engineering (ICEIE), vol. 2, pp. V2-465–V2-468. IEEE (2010)
Xie, W., Lean, Y., Shanying, X., Wang, S.: A new method for crude oil price forecasting based on support vector machines. In: Computational Science ICCS 2006. Lecture Notes in Computer Science, vol. 3994, pp. 444–451. Springer, Berlin (2006)
Kaboudan, M.A.: Compumetric forecasting of crude oil prices. In: Proceedings of the 2001 Congress on Evolutionary Computation, 2001, vol. 1, pp. 283–287. IEEE (2001)
Amin-Naseri, M.R., Gharacheh, E.A.: A hybrid artificial intelligence approach to monthly forecasting of crude oil price time series. In: The Proceedings of the 10th International Conference on Engineering Applications of Neural Networks, CEUR-WS284, pp. 160–167 (2007)
Xiao, J., He, C., Wang, S.: Crude oil price forecasting: a transfer learning based analog complexing model. In: 2012 Fifth International Conference on Business Intelligence and Financial Engineering (BIFE), pp. 29–33. IEEE (2012)
Yousefi, S., Weinreich, I., Reinarz, D.: Wavelet-based prediction of oil prices. Chaos Solitons Fractals 25(2), 265–275 (2005)
Alexandridis, A., Livanis, E.: Forecasting crude oil prices using wavelet neural networks. In: Proceedings of the 5th FSDET ( $$\Phi \,\Sigma \,\Delta $$ Φ Σ Δ ET), Athens, Greece, pp. 8 (2008)
Fan, Y., Liang, Q., Wei, Y.-M.: A generalized pattern matching approach for multi-step prediction of crude oil price. Energy Econ. 30(3), 889–904 (2008)
Mingming, T., Jinliang, Z.: A multiple adaptive wavelet recurrent neural network model to analyze crude oil prices. J. Econ. Bus. 64(4), 275–286 (2012)
He, K., Xie, C., Chen, S., Lai, K.K.: Estimating VaR in crude oil market: a novel multi-scale non-linear ensemble approach incorporating wavelet analysis and neural network. Neurocomputing 72, 3428–3438 (2009)
Jammazi, R., Aloui, C.: Crude oil price forecasting: experimental evidence from wavelet decomposition and neural network modeling. Energy Econ. 34(3), 828–841 (2012)
Qunli, W., Ge, H., Xiaodong, C.: Crude oil price forecasting with an improved model based on wavelet transform and RBF neural network. In: International Forum on Information Technology and Applications, 2009 (IFITA ’09), vol. 1, pp. 231–234 (2009)
Panella, M., Liparulo, L., Barcellona, F., D’Ecclesia, R.L.: A study on crude oil prices modeled by neurofuzzy networks. In: 2013 IEEE International Conference on Fuzzy Systems (FUZZ), pp. 1–7 (2013)
Ghaffari, A., Zare, S.: A novel algorithm for prediction of crude oil price variation based on soft computing. Energy Econ. 31(4), 531–536 (2009)
Yu, L., Wang, S., Lai, K.K.L Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm. Energy Econ. 30(5), 2623–2635 (2008)
Xiong, T., Bao, Y., Zhongyi, H.: Beyond one-step-ahead forecasting: evaluation of alternative multi-step-ahead forecasting models for crude oil prices. Energy Econ. 40, 405–415 (2013)
Guo, X., Li, D.C., Zhang, A.: Improved support vector machine oil price forecast model based on genetic algorithm optimization parameters. AASRI Procedia 1, 525–530 (2012)
Gabralla, L.A., Jammazi, R., Abraham, A.: Oil price prediction using ensemble machine learning. In: 2013 International Conference on Computing, Electrical and Electronics Engineering (ICCEEE), pp. 674–679. IEEE (2013)
Lin, A.: Prediction of international crude oil futures price based on GM (1, 1). In: IEEE International Conference on Grey Systems and Intelligent Services, 2009 (GSIS 2009), pp. 692–696. IEEE (2009)
Chang, K.L.: Volatility regimes, asymmetric basis effects and forecasting performance: an empirical investigation of the WTI crude oil futures market. Energy Econ. 34(1), 294–306 (2012)
Vo, M.T.: Regime-switching stochastic volatility: evidence from the crude oil market. Energy Econ. 31(5), 779–788 (2009)
Liu, L., Wan, J.: A study of shanghai fuel oil futures price volatility based on high frequency data: long-range dependence, modeling and forecasting. Econ. Model. 29(6), 2245–2253 (2012)
Zhang, X., Lai, K.K., Wang, S.-Y.: A new approach for crude oil price analysis based on empirical mode decomposition. Energy Econ. 30(3), 905–918 (2008)
Huang, D., Baimin, Y., Fabozzi, F.J., Fukushima, M.: CAViar-based forecast for oil price risk. Energy Econ. 31(4), 511–518 (2009)
Wei, Y.: Forecasting volatility of fuel oil futures in China: GARCH-type, SV or realized volatility models? Phys. A Stat. Mech. Appl. 391(22), 5546–5556 (2012)
Chih, C.W., Chung, H., Chang, Y.H.: The economic value of co-movement between oil price and exchange rate using copula-based GARCH models. Energy Econ. 34(1), 270–282 (2012)