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Multi-source model of heterogeneous data analysis for oil price forecasting
Baboshkin, Pavel; Uandykova, Mafura - In: International Journal of Energy Economics and Policy : IJEEP 11 (2021) 2, pp. 384-391
Persistent link: https://www.econbiz.de/10012616117
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Assessing asset tail risk with artificial intelligence : the application of artificial neural network
Becker, Ying L.; Guo, Lin; Nurmamatov, Odilbek - In: Advances in Pacific Basin business, economics, and finance 8 (2020), pp. 23-52
Persistent link: https://www.econbiz.de/10012601378
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Artificial neural network base short-term electricity load forecasting : a case study of a 132/33kv transmission sub-station
Samuel, Isaac Adekunle; Ekundayo, Segun; Awelewa, Ayokunle - In: International Journal of Energy Economics and Policy : IJEEP 10 (2020) 2, pp. 200-205
Persistent link: https://www.econbiz.de/10012484536
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Prediction of Iran's renewable energy generation in the fifth development plan
Chaharsooghi, S. Kamal; Rezaei, Mohsen - In: International journal of services and operations management 25 (2016) 1, pp. 120-133
Persistent link: https://www.econbiz.de/10011593496
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Next-day Bitcoin price forecast
Munim, Ziaul Haque; Shakil, Mohammad Hassan; Alon, Ilan - In: Journal of risk and financial management : JRFM 12 (2019) 2/103, pp. 1-15
network autoregression (NNAR) models. Employing the static forecast approach, we forecast next-day Bitcoin price both with and … without re-estimation of the forecast model for each step. For cross-validation of forecast results, we consider two different …-sample forecast periods. The Diebold Mariano test confirms the superiority of forecast results of ARIMA model over NNAR in the test …
Persistent link: https://www.econbiz.de/10012021953
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Optimum prediction and forecasting of wheat demand in Iran
Babazadeh, Reza; Shamsi, Meisam; Shafipour, Fatemeh - In: International journal of applied management science : IJAMS 13 (2021) 2, pp. 141-151
Persistent link: https://www.econbiz.de/10012594613
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Forecasting stock market realized volatility using random forest and artificial neural network in South Africa
Diane, Lamine; Brijlal, Pradeep - In: International journal of economics and financial issues … 14 (2024) 2, pp. 5-14
Persistent link: https://www.econbiz.de/10014581568
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Machine learning in energy economics and finance: a review
Ghoddusi, Hamed; Creamer Guillén, Germán; Rafizadeh, Nima - In: Energy economics 81 (2019), pp. 709-727
Persistent link: https://www.econbiz.de/10012172954
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A cross-sectional machine learning approach for hedge fund return prediction and selection
Wu, Wenbo; Chen, Jiaqi; Yang, Zhibin; Tindall, Michael L. - In: Management science : journal of the Institute for … 67 (2021) 7, pp. 4577-4601
Persistent link: https://www.econbiz.de/10012624639
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Colombian inflation forecast using long short-term memory approach
Cárdenas-Cárdenas, Julián Alonso; Cristiano-Botia, … - 2023
Persistent link: https://www.econbiz.de/10014305175