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Combination forecasts of tourism demand with machine learning models
Claveria, Oscar; Monte, Enric; Torra, Salvador - In: Applied economics letters 23 (2016) 4/6, pp. 428-431
Persistent link: https://www.econbiz.de/10011430763
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LASSO-based high-frequency return predictors for profitable Bitcoin investment
Huang, Weige; Gao, Xiang - In: Applied economics letters 29 (2022) 12, pp. 1079-1083
Persistent link: https://www.econbiz.de/10013412041
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A hybrid approach based on neural networks and genetic algorithms to the study of profitability in the Spanish stock market
Matilla-Garcia, Mariano; Argüello, Carlos - In: Applied economics letters 12 (2005) 5, pp. 303-308
Persistent link: https://www.econbiz.de/10002753369
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Analysis of investors' prediction potential using Holt Winters model and artificial neural networks
Dungore, Parizad - In: Applied economics letters 29 (2022) 21, pp. 2032-2039
Persistent link: https://www.econbiz.de/10013552916
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How words matter : machine learning & movie success
Nemzer, Louis R.; Neymotin, Florence - In: Applied economics letters 27 (2020) 15, pp. 1272-1276
Persistent link: https://www.econbiz.de/10012267121
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Conditional density forecast of China's energy demand via QRNN model
Cao, Shubo; Xu, Qifa; Jiang, Cuixia; He, Yaoyao - In: Applied economics letters 25 (2018) 12, pp. 867-875
Persistent link: https://www.econbiz.de/10012130465
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Improving econometric prediction by machine learning
Cerulli, Giovanni - In: Applied economics letters 28 (2021) 16, pp. 1419-1425
Persistent link: https://www.econbiz.de/10012609694
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Forecasting cryptocurrencies' price with the financial stress index : a graph neural network prediction strategy
Yin, Wei; Chen, Ziling; Luo, Xinxin; Kirkulak-Uludag, Berna - In: Applied economics letters 31 (2024) 7, pp. 630-639
Persistent link: https://www.econbiz.de/10014557817
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Predicting money laundering sanctions using machine learning algorithms and artificial neural networks
Lokanan, Mark E. - In: Applied economics letters 31 (2024) 12, pp. 1112-1118
Persistent link: https://www.econbiz.de/10014558696
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Forecasting Spanish economic activity in times of COVID-19 by means of the RT-LEI and machine learning techniques
Poza, Carlos; Monge González, Manuel - In: Applied economics letters 30 (2023) 4, pp. 472-477
Persistent link: https://www.econbiz.de/10013553654