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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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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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Multivariate macroeconomic forecasting : from DSGE and BVAR to artificial neural networks
Tänzer, Alina - 2024
This paper contributes a multivariate forecasting comparison between structural models and Machine-Learning-based tools. Specifically, a fully connected feed forward nonlinear autoregressive neural network (ANN) is contrasted to a well established dynamic stochastic general equilibrium (DSGE)...
Persistent link: https://www.econbiz.de/10014532351
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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 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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What machine learning can learn from foresight : a human-centered approach
Crews, Christian - In: Research-technology management 62 (2019) 1, pp. 30-33
Persistent link: https://www.econbiz.de/10012180737
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Machine learning in energy economics and finance: a review
Ghoddusi, Hamed; Creamer Guillén, Germán; Rafizadeh, Nima - In: Energy economics 81 (2019), pp. 709-727
Persistent link: https://www.econbiz.de/10012172954
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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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Short- and long-term forecasting of electricity prices using embedding of calendar information in neural networks
Wagner, Andreas; Ramentol, Enislay; Schirra, Florian; … - In: Journal of commodity markets 28 (2022), pp. 1-18
Persistent link: https://www.econbiz.de/10014335249
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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