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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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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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Can machine learning on economic data better forecast the unemployment rate?
Kreiner, Aaron; Duca, John V. - In: Applied economics letters 27 (2020) 17, pp. 1434-1437
Persistent link: https://www.econbiz.de/10012313923
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An evaluation of the effectiveness of three early-warning models on financial indexes
He, Yumei; Xu, Xinyi; Cai, Yuewen; Cheng, Mengya - In: Applied economics letters 29 (2022) 20, pp. 1880-1884
Persistent link: https://www.econbiz.de/10013412324
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Analysis of investors' prediction potential using Holt Winters model and artificial neural networks
Dungore, Parizad Phiroze - In: Applied economics letters 29 (2022) 21, pp. 2032-2039
Persistent link: https://www.econbiz.de/10013552916
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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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Do jet fuel price movements help forecast airline fares and the demand for air travel?
Atems, Bebonchu; Bachmeier, Lance J.; Williams, Corey - In: Applied economics letters 26 (2019) 11, pp. 877-882
Persistent link: https://www.econbiz.de/10012204413