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Will euro area house prices sharply decrease?
Ott, Hervé - In: Economic modelling 42 (2014), pp. 116-127
Persistent link: https://www.econbiz.de/10010478228
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Are low frequency macroeconomic variables important for high frequency electricity prices?
Foroni, Claudia; Ravazzolo, Francesco; Rossini, Luca - In: Economic modelling 120 (2023), pp. 1-11
Persistent link: https://www.econbiz.de/10014384007
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Can Google data help predict French youth unemployment?
Fondeur, Yannick; Karamé, Frédéric - In: Economic modelling 30 (2013), pp. 117-125
Persistent link: https://www.econbiz.de/10009703714
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Forecasting tourism with targeted predictors in a data-rich environment
Lourenço, Nuno; Gouveia, Carlos Melo; Rua, António - In: Economic modelling 96 (2021), pp. 445-454
Persistent link: https://www.econbiz.de/10012745452
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Forecasting US yield curve using the dynamic Nelson-Siegel model with random level shift parameters
Luo, Deqing; Pang, Tao; Xu, Jiawen - In: Economic modelling 94 (2021), pp. 340-350
Persistent link: https://www.econbiz.de/10012695028
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Impacts of asymmetry on forecasting realized volatility in Japanese stock markets
Maki, Daiki; Ota, Yasushi - In: Economic modelling 101 (2021), pp. 1-9
Persistent link: https://www.econbiz.de/10012796559
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Volatility forecasting using related markets' information for the Tokyo stock exchange
Jayawardena, Nirodha I.; Todorova, Neda; Li, Bin; Su, Jen-je - In: Economic modelling 90 (2020), pp. 143-158
Persistent link: https://www.econbiz.de/10012428085
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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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Economic forecasting with evolved confidence indicators
Claveria, Oscar; Monte, Enric; Torra, Salvador - In: Economic modelling 93 (2020), pp. 576-585
Persistent link: https://www.econbiz.de/10012430273
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On the cross-sectional relation between exchange rates and future fundamentals
Kharrat, Sabrine; Hammami, Yacine; Fatnassi, Ibrahim - In: Economic modelling 89 (2020), pp. 484-501
Persistent link: https://www.econbiz.de/10012426210