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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
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Stock market prediction, COVID-19 pandemic and neural networks : an SCG algorithm application
Goel, Himanshu; Som, Bhupender Kumar - In: Economia : revista da ANPEC 24 (2023) 1, pp. 134-146
Purpose This study aims to predict the Indian stock market (Nifty 50) by employing macroeconomic variables as input variables identified from the literature for two sub periods, i.e. the pre-coronavirus disease 2019 (COVID-19) (June 2011-February 2020) and during the COVID-19 (March 2020-June...
Persistent link: https://www.econbiz.de/10014418102
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Electricity price forecasting with neural networks on EPEX order books
Schnürch, Simon; Wagner, Andreas - In: Applied mathematical finance 27 (2020) 3, pp. 189-206
Persistent link: https://www.econbiz.de/10012315166
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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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Forecasting exchange rates with neural networks : time variation, nonstationarity, and causal models
Reikard, Gordon - In: International economic journal 37 (2023) 2, pp. 202-219
Persistent link: https://www.econbiz.de/10014295003
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Machine learning to predict grains futures prices
Brignoli, Paolo Libenzio; Varacca, Alessandro; … - In: Agricultural economics : the journal of the … 55 (2024) 3, pp. 479-497
Persistent link: https://www.econbiz.de/10014562813
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Probabilistic forecasting of daily COVID-19 admissions using machine learning
Rostami-Tabar, Bahman; Arora, Siddharth; … - In: IMA journal of management mathematics 35 (2024) 1, pp. 21-43
Persistent link: https://www.econbiz.de/10014526090
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Investor confidence and forecastability of US stock market realized volatility : evidence from machine learning
Gupta, Rangan; Nel, Jacobus; Pierdzioch, Christian - In: The journal of behavioral finance : a publication of … 24 (2023) 1, pp. 111-122
Persistent link: https://www.econbiz.de/10013547864
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Privacy-preserving condition-based forecasting using machine learning
Taigel, Fabian; Tueno, Anselme K.; Pibernik, Richard - In: Journal of business economics : JBE 88 (2018) 5, pp. 563-592
Persistent link: https://www.econbiz.de/10011888565
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What machine learning can learn from foresight : a human-centered approach
Crews, Christian - In: Research-technology management : RTM 62 (2019) 1, pp. 30-33
Persistent link: https://www.econbiz.de/10012180737