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Forecasting tourism demand to Catalonia : neural networks vs. time series models
Claveria, Oscar; Torra, Salvador - In: Economic modelling 36 (2014), pp. 220-228
Persistent link: https://www.econbiz.de/10010412358
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Application of artificial neural networks in tendency forecasting of economic growth
Feng, Lihua; Zhang, Jianzhen - In: Economic modelling 40 (2014), pp. 76-80
Persistent link: https://www.econbiz.de/10010425731
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Comparing the forecasting performance of neural network and purchasing power parity : the case of Turkey
Ozkan, Filiz - In: Economic modelling 31 (2013), pp. 752-758
Persistent link: https://www.econbiz.de/10009731391
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On business cycle fluctuations in USA macroeconomic time series
Kiani, Khurshid M. - In: Economic modelling 53 (2016), pp. 179-186
Persistent link: https://www.econbiz.de/10011640993
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Oil price forecasting using gene expression programming and artificial neural networks
Mostafa, Mohamed M.; El-Masry, Ahmed A. - In: Economic modelling 54 (2016), pp. 40-53
Persistent link: https://www.econbiz.de/10011641367
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A new multiscale decomposition ensemble approach for forecasting exchange rates
Sun, Shaolong; Wang, Shouyang; Wei, Yunjie - In: Economic modelling 81 (2019), pp. 49-58
Persistent link: https://www.econbiz.de/10012201456
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Artificial neural network regression models in a panel setting : predicting economic growth
Jahn, Malte - In: Economic modelling 91 (2020), pp. 148-154
Persistent link: https://www.econbiz.de/10012429029
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Forecasting inflation with thick models and neural networks
McAdam, Peter; McNelis, Paul D. - In: Economic modelling 22 (2005) 5, pp. 848-867
Persistent link: https://www.econbiz.de/10003116581
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Hedging the portfolio of raw materials and the commodity under the mark-to-market risk
Fu, Junhui; Zhang, Wei-guo; Yao, Zheng; Zhang, Xili - In: Economic modelling 29 (2012) 4, pp. 1070-1075
Persistent link: https://www.econbiz.de/10009667441
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An ensemble-based model for two-class imbalanced financial problem
Liao, Jui-jung; Shih, Ching-hui; Chen, Tai-feng; Hsu, … - In: Economic modelling 37 (2014), pp. 175-183
Persistent link: https://www.econbiz.de/10010417766