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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
This study analyzes forecasts of Bitcoin price using the autoregressive integrated moving average (ARIMA) and neural 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...
Persistent link: https://www.econbiz.de/10012021953
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Electricity price forecasting : a review of the state-of-the-art with a look into the future
Weron, Rafał - In: International journal of forecasting 30 (2014) 4, pp. 1030-1081
Persistent link: https://www.econbiz.de/10010517770
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Predictions, nonlinearities and portfolio choice : applications of artificial neural networks to German market indexes
Kruse, Friedrich Christian - 2012 - 1. Aufl
Persistent link: https://www.econbiz.de/10009628440
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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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Research on RMB exchange rate forecast based on the neural network model and the Nelson-Siegel model
Hua, Rui; Hu, Wenzhe; Zhao, Xiuju - In: Risk management : a journal of risk, crisis and disaster 22 (2020) 3, pp. 219-237
Persistent link: https://www.econbiz.de/10012297643
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Deep learning models for visibility forecasting using climatological data
Ortega, Luz C.; Otero, Luis Daniel; Solomon, Mitchell; … - In: International journal of forecasting 39 (2023) 2, pp. 992-1004
Persistent link: https://www.econbiz.de/10014465190
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Neural network predictions of the high-frequency CSI300 first distant futures trading volume
Xu, Xiaojie; Zhang, Yun - In: Financial markets and portfolio management 37 (2023) 2, pp. 191-207
Persistent link: https://www.econbiz.de/10014321851
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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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Structural analysis and forecast of gold price returns
Chai, Jian; Zhao, Chenyu; Hu, Yi; Zhang, Zhe George - In: Journal of management science and engineering 6 (2021) 2, pp. 135-145
Gold has multiple attributes and its price is affected by various factors in the market. This paper studies the dynamic relationship between the gold price returns and its affecting factors. Then we use the STL-ETS, neural network and Bayesian structural time series model to predict the gold...
Persistent link: https://www.econbiz.de/10013206193
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Electricity price forecasting in Turkey with artificial neural network models
Gökgöz, Fazıl; Filiz, Farhettin - In: Investment management and financial innovations 13 (2016) 3, pp. 150-158
Persistent link: https://www.econbiz.de/10011666735