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Traditional versus novel forecasting techniques : how much do we gain?
Fernández, Viviana - In: Journal of forecasting 27 (2008) 7, pp. 637-648
Persistent link: https://www.econbiz.de/10003779617
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Variable selection and oversampling in the use of smooth support vector machines for predicting the default risk of companies
Härdle, Wolfgang; Lee, Yuh-Jye; Schäfer, Dorothea; … - In: Journal of forecasting 28 (2009) 6, pp. 512-534
Persistent link: https://www.econbiz.de/10003886993
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Forecasting volatility with support vector machine-based GARCH model
Shiyi, Chen; Härdle, Wolfgang; Jeong, Kiho - In: Journal of forecasting 29 (2010) 4, pp. 406-433
Persistent link: https://www.econbiz.de/10003989791
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Estimating and forecasting APARCH-Skew-t model by wavelet support vector machines
Li, Yushu - In: Journal of forecasting 33 (2014) 4, pp. 259-269
Persistent link: https://www.econbiz.de/10010425754
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Stock market simulation using support vector machines
Rosillo, Rafael; Giner, Javier; Fuente, David de la - In: Journal of forecasting 33 (2014) 6, pp. 488-500
Persistent link: https://www.econbiz.de/10010426237
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Inflation and unemployment forecasting with genetic support vector regression
Sermpinis, Georgios; Stasinakis, Charalampos; … - In: Journal of forecasting 33 (2014) 6, pp. 471-487
Persistent link: https://www.econbiz.de/10010426238
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Forecasting carbon price using a multi-objective least squares support vector machine with mixture kernels
Zhu, Bangzhu; Ye, Shunxin; Wang, Ping; Chevallier, Julien; … - In: Journal of forecasting 41 (2022) 1, pp. 100-117
Persistent link: https://www.econbiz.de/10012796273
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Predicting customer churn using grey wolf optimization-based support vector machine with principal component analysis
Kurtcan, Betul Durkaya; Ozcan, Tuncay - In: Journal of forecasting 42 (2023) 6, pp. 1329-1340
Persistent link: https://www.econbiz.de/10014338889
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Fama-French three versus five, which model is better? : a machine learning approach
Diallo, Boubacar; Bagudu, Aliyu; Zhang, Qi - In: Journal of forecasting 42 (2023) 6, pp. 1461-1475
Persistent link: https://www.econbiz.de/10014338932
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Predicting earnings management through machine learning ensemble classifiers
Hammami, Ahmad; Zadeh, Mohammad Hendijani - In: Journal of forecasting 41 (2022) 8, pp. 1639-1660
Persistent link: https://www.econbiz.de/10013465733