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Predicting stock return and volatility with machine learning and econometric models : a comparative case study of the Baltic stock market
Nõu, Anders; Lapitskaya, Darya; Eratalay, M. Hakan; … - In: International journal of computational economics and … 13 (2023) 4, pp. 446-489
Persistent link: https://www.econbiz.de/10014439728
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Evaluating the effectiveness of modern forecasting models in predicting commodity futures prices in volatile economic times
Vancsura, László; Tatay, Tibor; Bareith, Tibor - In: Risks : open access journal 11 (2023) 2, pp. 1-16
The paper seeks to answer the question of how price forecasting can contribute to which techniques gives the most …
Persistent link: https://www.econbiz.de/10014233184
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Fractional differentiation and its use in machine learning
Gajda, Janusz; Walasek, Rafał - 2020
Persistent link: https://www.econbiz.de/10012322246
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Predicting stock market using natural language processing
Puh, Karlo; Bagić Babac, Marina - In: American journal of business 38 (2023) 2, pp. 41-61
Persistent link: https://www.econbiz.de/10014342260
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Machine learning advances for time series forecasting
Masini, Ricardo P.; Medeiros, Marcelo C.; Mendes, Eduardo F. - In: Journal of economic surveys 37 (2023) 1, pp. 76-111
Persistent link: https://www.econbiz.de/10014287800
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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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Alternative approaches to the prediction of electricity prices
Domanski, Pawel D.; Gintrowski, Mateusz - In: International journal of energy sector management : IJESM 11 (2017) 1, pp. 3-27
Persistent link: https://www.econbiz.de/10011704812
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Machine learning applications in hierarchical time series forecasting : investigating the impact of promotions
Abolghasemi, Mahdi; Tarr, Garth; Bergmeir, Christoph - In: International journal of forecasting 40 (2024) 2, pp. 597-615
Persistent link: https://www.econbiz.de/10014547185