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Quantum computing and deep learning methods for GDP growth forecasting
Alaminos, David; Salas, M. Belén; Fernández Gámez, … - In: Computational economics 59 (2022) 2, pp. 803-829
Persistent link: https://www.econbiz.de/10013169077
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A hybrid model based on bidirectional long short-term memory neural network and Catboost for short-term electricity spot price forecasting
Zhang, Fan; Fleyeh, Hasan; Bales, Chris - In: Journal of the Operational Research Society 73 (2022) 2, pp. 301-325
Persistent link: https://www.econbiz.de/10013170134
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Hybrid data decomposition-based deep learning for Bitcoin prediction and algorithm trading
Li, Yuze; Jiang, Shangrong; Li, Xuerong; Wang, Shouyang - In: Financial innovation : FIN 8 (2022), pp. 1-24
In recent years, Bitcoin has received substantial attention as potentially high-earning investment. However, its volatile price movement exhibits great financial risks. Therefore, how to accurately predict and capture changing trends in the Bitcoin market is of substantial importance to...
Persistent link: https://www.econbiz.de/10013170254
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The role of news sentiment in oil futures returns and volatility forecasting : data-decomposition based deep learning approach
Li, Yuze; Jiang, Shangrong; Li, Xuerong; Wang, Shouyang - In: Energy economics 95 (2021), pp. 1-11
Persistent link: https://www.econbiz.de/10012816879
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Predicting Amazon customer reviews with deep confidence using deep learning and conformal prediction
Norinder, Ulf; Norinder, Petra - In: Journal of management analytics 9 (2022) 1, pp. 1-16
Persistent link: https://www.econbiz.de/10012820730
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CVaR prediction model of the investment portfolio based on the convolutional neural network facilitates the risk management of the financial market
Wu, Zheng; Qiao, Yan; Huang, Shuai; Liu, HsienChen - In: Journal of global information management 30 (2022) 7, pp. 1-19
Persistent link: https://www.econbiz.de/10012800070
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Macroeconomic and financial market analyses and predictions through deep learning
Kim, Soohyon - 2020
Persistent link: https://www.econbiz.de/10012546997
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Incorporating textual information in customer churn prediction models based on a convolutional neural network
Caigny, Arno de; Coussement, Kristof; De Bock, Koen W.; … - In: International journal of forecasting 36 (2020) 4, pp. 1563-1578
Persistent link: https://www.econbiz.de/10012547130
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Modeling and forecasting the electricity clearing price : a novel BELM based pattern classification framework and a comparative analytic study on multi-layer BELM and LSTM
Shao, Zhen; Zheng, Qingru; Yang, Shanlin; Gao, Fei; … - In: Energy economics 86 (2020), pp. 1-21
Persistent link: https://www.econbiz.de/10012511679
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Neighbouring prediction for mortality
Wang, Chou-Wen; Zhang, Jinggong; Zhu, Wenjun - In: ASTIN bulletin : the journal of the International … 51 (2021) 3, pp. 689-718
Persistent link: https://www.econbiz.de/10012656717