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Crude oil price forecasting: Experimental evidence from wavelet decomposition and neural network modeling. (2012). JAMMAZI, RANIA ; Aloui, Chaker.
In: Energy Economics.
RePEc:eee:eneeco:v:34:y:2012:i:3:p:828-841.

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  2. Forecasting the Crude Oil prices for last four decades using deep learning approach. (2024). Choudhury, Karabi Dutta ; Sen, Abhibasu.
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  3. A novel hybrid model with two-layer multivariate decomposition for crude oil price forecasting. (2024). Sun, Jingyun ; Zhao, Zhengling ; Wang, Shouyang.
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  5. The role of green energy stock market in forecasting Chinas crude oil market: An application of IIS approach and sparse regression models. (2024). Sharif, Arshian ; Muhammadullah, Sara ; Khan, Faridoon ; Lee, Chien-Chiang.
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  23. Forecast of Bayesian-based dynamic connectedness between oil market and Islamic stock indices of Islamic oil-exporting countries: Application of the cascade-forward backpropagation network. (2022). Dolatabadi, Ali ; Doudkanlou, Mohammad Ghasemi ; Rashidi, Muhammad Mahdi ; Adekoya, Oluwasegun Babatunde ; Asl, Mahdi Ghaemi.
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  44. A novel hybrid approach to forecast crude oil futures using intraday data. (2020). Apergis, Nicholas ; Visalakshmi, S ; Manickavasagam, Jeevananthan .
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  47. Energy futures and spots prices forecasting by hybrid SW-GRU with EMD and error evaluation. (2020). Wang, Jun.
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  48. Forecasting the real prices of crude oil using robust regression models with regularization constraints. (2020). Wang, Yudong ; Hao, Xianfeng ; Zhao, Yuyang.
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  49. The economic and financial properties of crude oil: A review. (2020). Auer, Benjamin R ; Lang, Korbinian.
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  51. Application of Nonlinear Autoregressive with Exogenous Input (NARX) neural network in macroeconomic forecasting, national goal setting and global competitiveness assessment. (2020). Tang, Liyang.
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  52. A Continuous Differentiable Wavelet Shrinkage Function for Economic Data Denoising. (2019). He, Xuansen.
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  53. Can We Forecast Daily Oil Futures Prices? Experimental Evidence from Convolutional Neural Networks. (2019). Tanaka, Katsuyuki ; Hamori, Shigeyuki ; Luo, Zhaojie ; Kinkyo, Takuji ; Takiguchi, Tetsuya ; Cai, Xiaojing.
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  54. An Adaptive Hybrid Learning Paradigm Integrating CEEMD, ARIMA and SBL for Crude Oil Price Forecasting. (2019). Zhou, Tengfei ; Chen, YU ; Wu, Jiang ; Li, Taiyong.
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  55. Improved EEMD-based crude oil price forecasting using LSTM networks. (2019). Wu, Yu-Xi ; Zhu, Jia-Qi.
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  58. An effective and robust decomposition-ensemble energy price forecasting paradigm with local linear prediction. (2019). Wei, Yi-Ming ; Chu, Xianghua ; Li, LI ; He, Huangda ; Xie, Kangqiang ; Qin, Quande ; Wu, Teresa.
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  59. Monthly crude oil spot price forecasting using variational mode decomposition. (2019). Wu, Qianqian ; Zhu, Shaowen ; Li, Jinchao.
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  60. The VEC-NAR model for short-term forecasting of oil prices. (2019). Wei, Yi-Ming ; Fan, Tijun ; Li, Tian ; Cheng, Fangzheng.
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  62. Forecasting Crude Oil Prices Using Ensemble Empirical Mode Decomposition and Sparse Bayesian Learning. (2018). Jia, Yanchi ; Hu, Zhenda ; Li, Taiyong ; Zhou, Yingrui ; Wu, Jiang.
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  63. A novel decompose-ensemble methodology with AIC-ANN approach for crude oil forecasting. (2018). Ding, Yishan .
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  64. Global crude oil price prediction and synchronization based accuracy evaluation using random wavelet neural network. (2018). Huang, Lili ; Wang, Jun.
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  65. Interval decomposition ensemble approach for crude oil price forecasting. (2018). Sun, Shaolong ; Wei, Yunjie ; Wang, Shouyang.
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  66. Comparison between Bayesian and information-theoretic model averaging: Fossil fuels prices example. (2018). Drachal, Krzysztof.
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  67. Forecasting the WTI crude oil price by a hybrid-refined method. (2018). Chai, Jian ; Li, Jie-Xun ; Zhang, Zhe George ; Zhou, Xiao-Yang ; Xing, Li-Min.
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  68. A novel hybrid method of forecasting crude oil prices using complex network science and artificial intelligence algorithms. (2018). Wang, Minggang ; Stanley, Eugene H ; Tian, Lixin ; Chen, Lin ; Du, Ruijin ; Zhao, Longfeng.
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  69. International interdependence between cash crop and staple food futures price indices: A wavelet-BEKK-GARCH assessment. (2018). Heckelei, Thomas ; Grosche, S ; Amrouk, E M.
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  70. Grain Price Forecasting Using a Hybrid Stochastic Method. (2017). Zhao, YU ; He, Lei ; Shi, Zhongshun ; Zhang, XI.
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  71. A forecasting approach for truckload spot market pricing. (2017). Guloglu, Bulent ; Budak, Aysenur ; Ustundag, Alp.
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  72. Crude oil price analysis and forecasting based on variational mode decomposition and independent component analysis. (2017). Wei, Jian ; Ye, Jimin ; Bao, Yanling .
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  73. A deep learning ensemble approach for crude oil price forecasting. (2017). Zhao, Yang ; Yu, Lean ; Li, Jianping.
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  74. Do oil price asymmetric effects on the stock market persist in multiple time horizons?. (2017). Sun, Xiaoqi ; Gao, Xiangyun ; An, Haizhong ; Huang, Shupei.
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  17. Impact of crude oil market behaviour on unit bid prices: the evidence from the highway construction sector. (2009). Damnjanovic, Ivan ; Zhou, Xue.
    In: Construction Management and Economics.
    RePEc:taf:conmgt:v:27:y:2009:i:9:p:881-890.

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  18. Oil and natural gas prices and greenhouse gas emission mitigation. (2009). van Ruijven, Bas ; van Vuuren, Detlef P..
    In: Energy Policy.
    RePEc:eee:enepol:v:37:y:2009:i:11:p:4797-4808.

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  19. A generalized pattern matching approach for multi-step prediction of crude oil price. (2008). Wei, Yi-Ming ; Liang, Qiang ; Fan, Ying.
    In: Energy Economics.
    RePEc:eee:eneeco:v:30:y:2008:i:3:p:889-904.

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  20. Correlation analysis of chaotic trajectories from Chua’s system. (2008). Rodriguez, Eduardo ; Alvarez-Ramirez, Jose ; Puebla, Hector ; Echeverria, Juan Carlos .
    In: Chaos, Solitons & Fractals.
    RePEc:eee:chsofr:v:36:y:2008:i:5:p:1157-1169.

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  21. Regime-switching characterization of electricity prices dynamics. (2006). Mari, Carlo.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:371:y:2006:i:2:p:552-564.

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  22. Power-law periodicity in the 2003–2004 crude oil price dynamics. (2005). Bernabe, Araceli ; Alvarez-Ramirez, Jose ; Rodriguez, Eduardo ; Ibarra-Valdez, Carlos .
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:349:y:2005:i:3:p:625-640.

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