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Crude oil prices and kernel-based models
Panella, Massimo; D'Ecclesia, Rita L.; Stack, David G. - In: International journal of financial engineering and risk … 1 (2014) 3, pp. 214-238
Persistent link: https://www.econbiz.de/10010476935
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Crude oil price forecasting : experimental evidence from wavelet decomposition and neural network modeling
Jammazi, Rania; Aloui, Chaker - In: Energy economics 34 (2012) 3, pp. 828-841
Persistent link: https://www.econbiz.de/10010219886
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Ensemble forecasting for complex time series using sparse representation and neural networks
Yu, Lean; Zhao, Yang; Tang, Ling - In: Journal of forecasting 36 (2017) 2, pp. 122-138
Persistent link: https://www.econbiz.de/10011729109
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Coking coal futures price index forecasting with the neural network
Xu, Xiaojie; Zhang, Yun - In: Mineral economics : raw materials report 36 (2023) 2, pp. 349-359
Persistent link: https://www.econbiz.de/10014251428
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Forecasting financial time series with Boltzmann entropy through neural networks
Grilli, Luca; Santoro, Domenico - In: Computational management science 19 (2022) 4, pp. 665-681
Persistent link: https://www.econbiz.de/10013447499
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Reservoir computing vs. neural networks in financial forecasting
Georgopoulos, Spyros P.; Tziatzios, Panagiotis; … - In: International journal of computational economics and … 13 (2023) 1, pp. 1-22
Persistent link: https://www.econbiz.de/10014307624
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Analysis of the application of different forecasting methods for time series in the context of the aeronautical industry
Camargo, Antônio Augusto Rodrigues de; Oliveira, Mauri … - In: International journal of business forecasting and … 9 (2024) 3, pp. 300-317
Persistent link: https://www.econbiz.de/10015060709
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Forecasting container freight rates for major trade routes : a comparison of artificial neural networks and conventional models
Munim, Ziaul Haque; Schramm, Hans-Joachim - In: Maritime economics & logistics 23 (2021) 2, pp. 310-327
Persistent link: https://www.econbiz.de/10012548014
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Study on exchange rate forecasting using recurrent neural networks
Ye, Yuxi - In: International journal of economics, finance and … 5 (2017) 6, pp. 300-303
Persistent link: https://www.econbiz.de/10011825411
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Multiple time series forecasting using quasi-randomized functional link neural networks
Moudiki, Thierry; Planchet, Frédéric; Cousin, Areski - In: Risks : open access journal 6 (2018) 1, pp. 1-20
We are interested in obtaining forecasts for multiple time series, by taking into account the potential nonlinear relationships between their observations. For this purpose, we use a specific type of regression model on an augmented dataset of lagged time series. Our model is inspired by dynamic...
Persistent link: https://www.econbiz.de/10011811615