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A semi-heterogeneous approach to combining crude oil price forecasts
16 references·6 citing·50 second hop
A semi-heterogeneous approach to combining crude oil price forecasts (2018)A semi-heterogeneous approach to combinin…Forecasting the prices of crude oil: An iterated combination approach (2018)Forecasting the prices of cru…A variational mode decompoisition approach for analysis and forecasting of economic and financial time series (2016)A variational mode decompoisi…Modeling oil price–US stock nexus: A VARMA–BEKK–AGARCH approach (2015)Modeling oil price–US stock n…Forecasting crude oil market volatility: A Markov switching multifractal volatility approach (2015)Forecasting crude oil market …An improved wavelet–ARIMA approach for forecasting metal prices (2013)An improved wavelet–ARIMA app…A wavelet decomposition approach to crude oil price and exchange rate dependence (2013)A wavelet decomposition appro…Crude oil price forecasting: Experimental evidence from wavelet decomposition and neural network modeling (2011)Crude oil price forecasting: …Oil and the macroeconomy: using wavelets to analyze old issues (2010)Oil and the macroeconomy: usi…Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method (2009)Estimating the impact of extr…Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm (2008)Forecasting crude oil price w…A new approach for crude oil price analysis based on Empirical Mode Decomposition (2007)A new approach for crude oil …Oil Price Shocks and Emerging Stock Markets: A Generalized VAR Approach (2006)Oil Price Shocks and Emerging…A New Method for Crude Oil Price Forecasting Based on Support Vector Machines (2006)A New Method for Crude Oil Pr…Combination forecasts of output growth in a seven‐country data set (2004)Combination forecasts of outp…Principles of Forecasting. A Handbook for Researchers and Practitioners (2002)Principles of Forecasting. 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References

  • 2004Combination forecasts of output growth in a seven‐country data set1,138 cited
  • 2001Principles of forecasting : a handbook for researchers and practitioners1,045 cited
  • 2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm705 cited
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  • 2011Crude oil price forecasting: Experimental evidence from wavelet decomposition and neural network modeling282 cited
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  • 2009Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method253 cited
  • 2016A variational mode decompoisition approach for analysis and forecasting of economic and financial time series214 cited
  • 2015Modeling oil price–US stock nexus: A VARMA–BEKK–AGARCH approach209 cited
  • 2013An improved wavelet–ARIMA approach for forecasting metal prices175 cited
  • 2018Forecasting the prices of crude oil: An iterated combination approach

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159 cited
  • 2006Oil Price Shocks and Emerging Stock Markets: A Generalized VAR Approach147 cited
  • 2015Forecasting crude oil market volatility: A Markov switching multifractal volatility approach125 cited
  • Cited by

    • 2020Support Vector Machine Algorithms: An Application to Ship Price Forecasting61 cited
    • 2021Analysis and forecasting of crude oil price based on the variable selection-LSTM integrated model57 cited
    • 2022Deep learning framework for predictive modeling of crude oil price for sustainable management in oil markets56 cited
    • 2022Agricultural Price Prediction Based on Combined Forecasting Model under Spatial-Temporal Influencing Factors54 cited
    • 2019CPPCNDL: Crude oil price prediction using complex network and deep learning algorithms54 cited
    • 2022Optimal forecast combination based on PSO-CS approach for daily agricultural future prices forecasting52 cited