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Point and interval prediction for non-ferrous metals based on a hybrid prediction framework
15 references·2 citing·37 second hop
Point and interval prediction for non-ferrous metals based on a hybrid prediction framework (2021)Point and interval prediction for non-fer…How technological progress affects input substitution and energy efficiency in China: A case of the non-ferrous metals industry (2020)How technological progress af…Point and interval forecasting for carbon price based on an improved analysis-forecast system (2019)Point and interval forecastin…Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network (2019)Non-ferrous metals price fore…Modelling of carbon price in two real carbon trading markets (2019)Modelling of carbon price in …A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting (2018)A novel multiscale nonlinear …Multi-Scale Volatility Feature Analysis and Prediction of Gold Price (2016)Multi-Scale Volatility Featur…A novel grey wave forecasting method for predicting metal prices (2016)A novel grey wave forecasting…Forecasting the COMEX copper spot price by means of neural networks and ARIMA models (2015)Forecasting the COMEX copper …Research on WNN Modeling for Gold Price Forecasting Based on Improved Artificial Bee Colony Algorithm (2014)Research on WNN Modeling for …Forecasting carbon futures volatility using GARCH models with energy volatilities (2013)Forecasting carbon futures vo…An improved wavelet–ARIMA approach for forecasting metal prices (2013)An improved wavelet–ARIMA app…Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology (2012)Carbon price forecasting with…An assessment of time series methods in metal price forecasting (2005)An assessment of time series …Comparing Predictive Accuracy (1995)Comparing Predictive AccuracyComparing Predictive Accuracy (1994)Comparing Predictive AccuracyPoint and interval forecasting system for crude oil price based on complete ensemble extreme-point symmetric mode decomposition with adaptive noise and intelligent optimization algorithm (2022)Point and interval forecastin…Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm (2021)Multi-step metal prices forec…Automatic Time Series Forecasting: The forecast Package for R (2008)Forecasting coking coal prices by means of ARIMA models and neural networks, considering the transgenic time series theory (2019)Improving multilayer perceptron neural network using chaotic grasshopper optimization algorithm to forecast iron ore price volatility (2019)Time series forecasting using a hybrid ARIMA and neural network model (2003)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression (2017)Carbon trading volume and price forecasting in China using multiple machine learning models (2019)A hybrid model for carbon price forecastingusing GARCH and long short-term memory network (2021)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)The dynamic volatility spillover between European carbon trading market and fossil energy market (2015)The dynamic spillover between carbon and energy markets: New evidence (2018)Time Series Analysis Forecasting and Control (1971)Time Series Analysis: Forecasting and Control (1977)Forecasting copper prices by decision tree learning (2017)Long-term forecast of energy commodities price using machine learning (2019)The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning (2021)A forecast comparison of volatility models: does anything beat a GARCH(1,1)? 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References

  • 1994Comparing Predictive Accuracy5,495 cited
  • 1995Comparing Predictive Accuracy5,214 cited
  • 2012Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology376 cited
  • 2013Forecasting carbon futures volatility using GARCH models with energy volatilities346 cited
  • 2019Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network254 cited
  • 2018A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting235 cited
  • 2013An improved wavelet–ARIMA approach for forecasting metal prices175 cited
  • 2015Forecasting the COMEX copper spot price by means of neural networks and ARIMA models151 cited
  • 2019Modelling of carbon price in two real carbon trading markets150 cited
  • 2005An assessment of time series methods in metal price forecasting121 cited
  • 2019Point and interval forecasting for carbon price based on an improved analysis-forecast system114 cited
  • 2016Multi-Scale Volatility Feature Analysis and Prediction of Gold Price65 cited
  • 2016A novel grey wave forecasting method for predicting metal prices60 cited
  • 2020How technological progress affects input substitution and energy efficiency in China: A case of the non-ferrous metals industry59 cited

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  • 2014Research on WNN Modeling for Gold Price Forecasting Based on Improved Artificial Bee Colony Algorithm46 cited
  • Cited by

    • 2021Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm42 cited
    • 2022Point and interval forecasting system for crude oil price based on complete ensemble extreme-point symmetric mode decomposition with adaptive noise and intelligent optimization algorithm32 cited