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Multivariate macroeconomic forecasting : from DSGE and BVAR to artificial neural networks
Tänzer, Alina - 2024
-time data (1964Q2:2020Q3) for 8 macroeconomic time series (GDP, inflation, federal funds rate, spread, consumption, investment … including them in a weighted average. Especially, ANNbased inflation forecasts improve other predictions by up to 50%. These …
Persistent link: https://www.econbiz.de/10014532351
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Bagged neural networks for forecasting Polish (low) inflation
Szafranek, Karol - In: International journal of forecasting 35 (2019) 3, pp. 1042-1059
Persistent link: https://www.econbiz.de/10012305220
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Forecasting regional inflation in the Philippines using machine learning techniques: : A new approach
Gabriel, Vidal Marvin C.; Bautista, Dennis M.; Mapa, … - 2020
Persistent link: https://www.econbiz.de/10014318368
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Benchmark analysis of machine learning methods to forecast the U.S. annual inflation rate during a high-decile inflation period
Malladi, Rama K. - In: Computational economics 64 (2024) 1, pp. 335-375
Persistent link: https://www.econbiz.de/10015078028
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A cross-sectional machine learning approach for hedge fund return prediction and selection
Wu, Wenbo; Chen, Jiaqi; Yang, Zhibin; Tindall, Michael L. - In: Management science : journal of the Institute for … 67 (2021) 7, pp. 4577-4601
Persistent link: https://www.econbiz.de/10012624639
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Application of machine learning in quantitative investment strategies on global stock markets
Grudniewicz, Jan; Ślepaczuk, Robert - 2021
Persistent link: https://www.econbiz.de/10012816704
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Electricity price forecasting with neural networks on EPEX order books
Schnürch, Simon; Wagner, Andreas - In: Applied mathematical finance 27 (2020) 3, pp. 189-206
Persistent link: https://www.econbiz.de/10012315166
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Deep learning neural network for the prediction of Asian Tiger stock markets
Yap, Kok-Leong; Lau, Wee-Yeap; Izlin Ismail - In: International journal of financial engineering 8 (2021) 4, pp. 1-35
Persistent link: https://www.econbiz.de/10012815105
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Forecasting exchange rates with neural networks : time variation, nonstationarity, and causal models
Reikard, Gordon - In: International economic journal 37 (2023) 2, pp. 202-219
Persistent link: https://www.econbiz.de/10014295003
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A hybrid model based on bidirectional long short-term memory neural network and Catboost for short-term electricity spot price forecasting
Zhang, Fan; Fleyeh, Hasan; Bales, Chris - In: Journal of the Operational Research Society 73 (2022) 2, pp. 301-325
Persistent link: https://www.econbiz.de/10013170134