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A machine learning approach to volatility forecasting
Christensen, Kim; Siggaard, Mathias Voldum; Veliyev, … - 2021
Persistent link: https://www.econbiz.de/10012434010
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RCTs against the machine : can machine learning prediction methods recover experimental treatment effects?
Prest, Brian C.; Wichman, Casey J.; Palmer, Karen - In: Journal of the Association of Environmental and … 10 (2023) 5, pp. 1231-1264
Persistent link: https://www.econbiz.de/10014317386
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Deep dynamic factor models
Andreini, Paolo; Izzo, Cosimo; Ricco, Giovanni - 2023 - This version: 20 May 2023
Persistent link: https://www.econbiz.de/10014321022
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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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Advancing the use of deep learning in loss reserving : a Generalized DeepTriangle approach
Feng, Yining; Li, Shuanming - In: Risks : open access journal 12 (2024) 1, pp. 1-14
reserving. The generalized approach offers more flexibility and accuracy in solving actuarial reserving problems. It predicts …
Persistent link: https://www.econbiz.de/10014480914
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RCTs against the machine : can machine learning prediction methods recover experimental treatment effects?
Prest, Brian C.; Wichman, Casey J.; Palmer, Karen L. - In: Journal of the Association of Environmental and … 10 (2023) 5, pp. 1231-1264
Persistent link: https://www.econbiz.de/10014385032
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Applying machine learning algorithms to predict the size of the informal economy
Felix, João; Alexandre, Michel; Lima, Gilberto Tadeu - 2023
Persistent link: https://www.econbiz.de/10014372636
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A machine learning approach to volatility forecasting
Christensen, Kim; Siggaard, Mathias Voldum; Veliyev, … - In: Journal of financial econometrics 21 (2023) 5, pp. 1680-1727
Persistent link: https://www.econbiz.de/10014444717
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Mean absolute directional loss as a new loss function for machine learning problems in algorithmic investment strategies
Michańków, Jakub; Sakowski, Paweł; Ślepaczuk, Robert - 2023
Persistent link: https://www.econbiz.de/10014448222
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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