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Ranking professional forecasters by the predictive power of their narratives
Rybiński, Krzysztof - In: International journal of forecasting 37 (2021) 1, pp. 186-204
Persistent link: https://www.econbiz.de/10012692692
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Macroeconomic data transformations matter
Goulet Coulombe, Philippe; Leroux, Maxime; Stevanović, … - In: International journal of forecasting 37 (2021) 4, pp. 1338-1354
Persistent link: https://www.econbiz.de/10013274273
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Modeling and predicting U.S. recessions using machine learning techniques
Vrontos, Spyridon D.; Galakis, John; Vrontos, Ioannis D. - In: International journal of forecasting 37 (2021) 2, pp. 647-671
Persistent link: https://www.econbiz.de/10012792860
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Correlation analysis of forecasting methods : the case of the M4 competition
Agathangelou, Pantelis; Trihinas, Demetris; Katakis, Ioannis - In: International journal of forecasting 36 (2020) 1, pp. 212-216
Persistent link: https://www.econbiz.de/10012414644
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Predicting bank insolvencies using machine learning techniques
Petropoulos, Anastasios; Siakoulis, Vasilis; … - In: International journal of forecasting 36 (2020) 3, pp. 1092-1113
Persistent link: https://www.econbiz.de/10012497724
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Classification of intraday s&p500 returns with a random forest
Lohrmann, Christoph; Luukka, Pasi - In: International journal of forecasting 35 (2019) 1, pp. 390-407
Persistent link: https://www.econbiz.de/10012300660
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Forecasting bank failures and stress testing : a machine learning approach
Gkonkas, Periklēs; Papadimitriou, Theophilos; … - In: International journal of forecasting 34 (2018) 3, pp. 440-455
Persistent link: https://www.econbiz.de/10012031002
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A machine learning-based framework for forecasting sales of new products with short life cycles using deep neural networks
Elalem, Yara Kayyali; Maier, Sebastian; Seifert, Ralf W. - In: International journal of forecasting 39 (2023) 4, pp. 1874-1894
Persistent link: https://www.econbiz.de/10014465364
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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
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A comparison of machine learning methods for predicting the direction of the US stock market on the basis of volatility indices
Campisi, Giovanni; Muzzioli, Silvia; De Baets, Bernard - In: International journal of forecasting 40 (2024) 3, pp. 869-880
Persistent link: https://www.econbiz.de/10014547222