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Yield curve and recession forecasting in a Machine Learning framework
Gkonkas, Periklēs; Papadimitriou, Theophilos; … - In: Computational economics 45 (2015) 4, pp. 635-645
Persistent link: https://www.econbiz.de/10011440977
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Forecasting using random subspace methods
Boot, Tom; Nibbering, Didier - 2016
provide a theoretical justification of the use of random subspace methods and show their usefulness when forecasting monthly …
Persistent link: https://www.econbiz.de/10011531132
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Gold against the machine
Plakandaras, Vasilios; Gkonkas, Periklēs; … - In: Computational economics 57 (2021) 1, pp. 5-28
Persistent link: https://www.econbiz.de/10012486908
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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 near optimal test for structural breaks when forecasting under square error loss
Boot, Tom; Pick, Andreas - 2017
forecasting occur much less frequently than indicated by existing tests. …
Persistent link: https://www.econbiz.de/10011636475