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Forecasting crude oil prices with DSGE models
Rubaszek, Michał - In: International journal of forecasting 37 (2021) 2, pp. 531-546
Persistent link: https://www.econbiz.de/10012792850
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Machine learning with parallel neural networks for analyzing and forecasting electricity demand
Chen, Yi-Ting; Sun, Edward W.; Lin, Yi-Bing - In: Computational economics 56 (2020) 2, pp. 569-597
Persistent link: https://www.econbiz.de/10012272048
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Does the foreign sector help forecast domestic variables in DSGE models?
Kolasa, Marcin; Rubaszek, Michał - In: International journal of forecasting 34 (2018) 4, pp. 809-821
Persistent link: https://www.econbiz.de/10012031114
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Demystifying the Meese-Rogoff puzzle : structural breaks or measures of forecasting accuracy?
Burns, Kelly; Moosa, Imad A. - In: Applied economics 49 (2017) 48, pp. 4897-4910
Persistent link: https://www.econbiz.de/10011844813
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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
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The random walk as a forecasting benchmark : drift or no drift?
Moosa, Imad A.; Burns, Kelly - In: Applied economics 48 (2016) 43/45, pp. 4131-4142
Persistent link: https://www.econbiz.de/10011639995
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Jump detection and noise separation by a singular wavelet method for predictive analytics of high-frequency data
Chen, Yi-Ting; Lai, Wan-Ni; Sun, Edward W. - In: Computational economics 54 (2019) 2, pp. 809-844
Persistent link: https://www.econbiz.de/10012134380
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Error correction modelling and dynamic specifications as a conduit to outperforming the random walk in exchange rate forecasting
Moosa, Imad A.; Burns, Kelly - In: Applied economics 46 (2014) 25/27, pp. 3107-3118
Persistent link: https://www.econbiz.de/10010418113
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Realized volatility risk
Allen, David E.; McAleer, Michael; Scharth, Marcel - 2013
Persistent link: https://www.econbiz.de/10009784942
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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