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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

Comparing the renewable energy technologies via forecasting approaches

Gökgöz, Fazıl; Filiz, Fahrettin - In: Applied operations research and financial modelling in …, (pp. 153-171). 2021

Persistent link: https://www.econbiz.de/10012660734

Deep learning neural network for the prediction of Asian Tiger stock markets

Yap, Kok-Leong; Lau, Wee-Yeap; Izlin Ismail - In: International journal of financial engineering 8 (2021) 4, pp. 1-35

Persistent link: https://www.econbiz.de/10012815105

Should deep learning models be in high demand, or should they simply be a very hot topic? : a comprehensive study for exchange rate forecasting

Yilmaz, Firat Melih; Arabaci, Ozer - In: Computational economics 57 (2021) 1, pp. 217-245

Persistent link: https://www.econbiz.de/10012486893

Comparing deep neural network and econometric approaches to predicting the impact of climate change on agricultural yield

Keane, Michael P.; Neal, Timothy - In: The econometrics journal 23 (2020) 3, pp. S59-S80

Persistent link: https://www.econbiz.de/10012385263

Encoding of high-frequency order information and prediction of short-term stock price by deep learning

Tashiro, Daigo; Matsushima, Hiroyasu; Izumi, Kiyoshi; … - In: Quantitative finance 19 (2019) 9, pp. 1499-1506

Persistent link: https://www.econbiz.de/10012194801

Can deep learning predict risky retail investors? : A case study in financial risk behavior forecasting

Kim, A.; Yang, Y.; Lessmann, Stefan; Ma, Tiejun; Sung, M.-C. - In: European journal of operational research : EJOR 283 (2020) 1, pp. 217-234

Persistent link: https://www.econbiz.de/10012161963

A deep learning ensemble approach for crude oil price forecasting

Zhao, Yang; Li, Jianping; Yu, Lean - In: Energy economics 66 (2017), pp. 9-16

Persistent link: https://www.econbiz.de/10011896417

Deep LPPLS : forecasting of temporal critical points in natural, engineering and financial systems

Nielsen, Joshua; Sornette, Didier; Raissi, Maziar - 2024

Persistent link: https://www.econbiz.de/10014543723

An interval constraint-based trading strategy with social sentiment for the stock market

Li, Mingchen; Yang, Kun; Lin, Wencan; Wei, Yunjie; … - In: Financial innovation : FIN 10 (2024), pp. 1-31

Developing efective strategies to earn excess returns in the stock market is a cuttingedge topic in the feld of economics. At the same time, stock price forecasting that supports trading strategies is considered one of the most challenging tasks. Therefore, this study analyzes and extracts news...

Persistent link: https://www.econbiz.de/10014535397