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Carbon futures price forecasting based on feature selection
16 references·0 citing·49 second hop
Carbon futures price forecasting based on feature selection (2024)Carbon futures price forecasting based on…Carbon price forecasting based on CEEMDAN and LSTM (2022)Carbon price forecasting base…The determinants of CO2 prices in the EU emission trading system (2021)The determinants of CO2 price…Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019) (2021)Metaheuristic Algorithms on F…A multi-factor integrated model for carbon price forecasting: Market interaction promoting carbon emission reduction (2021)A multi-factor integrated mod…A hybrid model for carbon price forecastingusing GARCH and long short-term memory network (2021)A hybrid model for carbon pri…Does weather, or energy prices, affect carbon prices? (2020)Does weather, or energy price…Carbon price forecasting based on modified ensemble empirical mode decomposition and long short-term memory optimized by improved whale optimization algorithm (2020)Carbon price forecasting base…A new secondary decomposition ensemble learning approach for carbon price forecasting (2020)A new secondary decomposition…A hybrid framework for carbon trading price forecasting: The role of multiple influence factor (2020)A hybrid framework for carbon…Carbon finance and carbon market in China: Progress and challenges (2019)Carbon finance and carbon mar…A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network (2019)A carbon price prediction mod…A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting (2018)A novel multiscale nonlinear …Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)Computational Intelligence an…Novel feature selection methods to financial distress prediction (2013)Novel feature selection metho…Approximately normal tests for equal predictive accuracy in nested models (2006)Approximately normal tests fo…Comparing Predictive Accuracy (2002)Comparing Predictive AccuracyPORTFOLIO SELECTION* (1952)The Behavior of Stock-Market Prices (1965)Application of support vector machines in financial time series forecasting (2001)Literature review: Machine learning techniques applied to financial market prediction (2019)Machine learning in energy economics and finance: A review (2019)Deep Learning for Stock Market Prediction (2020)Generalized autoregressive conditional heteroskedasticity (1986)A forecast comparison of volatility models: does anything beat a GARCH(1,1)? 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(1971)Testing the equality of prediction mean squared errors (1997)Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM (2022)Oil price forecasting: A hybrid GRU neural network based on decomposition–reconstruction methods (2023)Enhancing EEG-Based Mental Stress State Recognition Using an Improved Hybrid Feature Selection Algorithm (2021)A Comprehensive Review on RSM-Coupled Optimization Techniques and Its Applications (2023)Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review (2023)Does Anything Beat 5-Minute RV? A Comparison of Realized Measures Across Multiple Asset Classes (2012)Applications of deep learning in stock market prediction: Recent progress (2021)Machine learning in the Chinese stock market (2021)
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References

  • 2006Approximately normal tests for equal predictive accuracy in nested models2,513 cited
  • 2002Comparing Predictive Accuracy1,745 cited
  • 2021Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019)615 cited
  • 2016Computational Intelligence and Financial Markets: A Survey and Future Directions592 cited
  • 2022Carbon price forecasting based on CEEMDAN and LSTM424 cited
  • 2021A hybrid model for carbon price forecastingusing GARCH and long short-term memory network316 cited
  • 2019Carbon finance and carbon market in China: Progress and challenges287 cited
  • 2019A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network259 cited
  • 2018A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting235 cited
  • 2020Does weather, or energy prices, affect carbon prices?191 cited
  • 2020A hybrid framework for carbon trading price forecasting: The role of multiple influence factor183 cited
  • 2021The determinants of CO2 prices in the EU emission trading system172 cited
  • 2020A new secondary decomposition ensemble learning approach for carbon price forecasting147 cited
  • 2020Carbon price forecasting based on modified ensemble empirical mode decomposition and long short-term memory optimized by improved whale optimization algorithm

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144 cited
  • 2021A multi-factor integrated model for carbon price forecasting: Market interaction promoting carbon emission reduction138 cited
  • 2013Novel feature selection methods to financial distress prediction129 cited
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