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Interval forecasting of carbon price: A novel multiscale ensemble forecasting approach
16 references·7 citing·53 second hopsampled
Interval forecasting of carbon price: A novel multiscale ensemble forecasting approach (2022)Interval forecasting of carbon price: A n…How does green finance affect green total factor productivity? Evidence from China (2022)How does green finance affect…Carbon price forecasting based on CEEMDAN and LSTM (2022)Carbon price forecasting base…Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels (2021)Forecasting carbon price usin…Comparative advantage, endowment structure, and trade imbalances (2021)Comparative advantage, endowm…Capturing the dynamics of the China crude oil futures: Markov switching, co-movement, and volatility forecasting (2021)Capturing the dynamics of the…A novel framework for carbon price prediction using comprehensive feature screening, bidirectional gate recurrent unit and Gaussian process regression (2021)A novel framework for carbon …A hybrid model for carbon price forecastingusing GARCH and long short-term memory network (2021)A hybrid model for carbon pri…Spatiotemporal evolution of decoupling and driving forces of CO2 emissions on economic growth along the Belt and Road (2020)Spatiotemporal evolution of d…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…A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network (2019)A carbon price prediction mod…Interval decomposition ensemble approach for crude oil price forecasting (2018)Interval decomposition ensemb…A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting (2018)A novel multiscale nonlinear …Understanding volatility dynamics in the EU-ETS market (2015)Understanding volatility dyna…Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction model (2015)Chaotic characteristic identi…Forecasting the European Carbon Market (2012)Forecasting the European Carb…Framework for multivariate carbon price forecasting: A novel hybrid model (2024)Framework for multivariate ca…Forecasting carbon prices in China's pilot carbon market: A multi-source information approach with conditional generative adversarial networks (2024)Forecasting carbon prices in …Carbon trading price forecasting in digitalization social change era using an explainable machine learning approach: The case of China as emerging country evidence (2024)Carbon trading price forecast…A secondary decomposition-ensemble framework for interval carbon price forecasting (2024)A secondary decomposition-ens…Interval time series forecasting: A systematic literature review (2023)Interval time series forecast…Can green tax policy promote China's energy transformation?— A nonlinear analysis from production and consumption perspectives (2023)Can green tax policy promote …A novel interval-valued carbon price analysis and forecasting system based on multi-objective ensemble strategy for carbon trading market (2023)A novel interval-valued carbo…State and Trends of the Carbon Market 2005 (2005)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)State and Trends of the Carbon Market 2011 (2011)Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS (2018)Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors (2019)An innovative random forest-based nonlinear ensemble paradigm of improved feature extraction and deep learning for carbon price forecasting (2020)Generalized autoregressive conditional heteroskedasticity (1986)A forecast comparison of volatility models: does anything beat a GARCH(1,1)? (2005)A Test for Superior Predictive Ability (2005)A multiscale analysis for carbon price drivers (2018)An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect (2010)Forecasting carbon futures volatility using GARCH models with energy volatilities (2013)Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression (2017)A combination forecasting model based on hybrid interval multi-scale decomposition: Application to interval-valued carbon price forecasting (2021)Hybridization of hybrid structures for time series forecasting: a review (2022)Forecasting Volatility in Financial Markets: A Review (2003)Forecasting Volatility in Financial Markets: A Review (2003)Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology (2012)Price forecasts of ten steel products using Gaussian process regressions (2023)Palladium Price Predictions via Machine Learning (2024)Predictions of steel price indices through machine learning for the regional northeast Chinese market (2024)Impact of carbon dioxide emission control on GNP growth : Interpretation of proposed scenarios (1989)Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001 (2005)The decomposition of energy-related carbon emission and its decoupling with economic growth in China (2014)Decomposition of carbon emission and its decoupling analysis and prediction with economic development: A case study of industrial sectors in Henan Province (2021)How renewable energy reduces CO 2 emissions? Decoupling and decomposition analysis for 25 countries along the Belt and Road (2021)Spatiotemporal patterns of industrial carbon emissions at the city level (2021)CO2 Prices, Energy and Weather (2007)Modeling the price dynamics of CO2 emission allowances (2008)Allowance price drivers in the first phase of the EU ETS (2009)Forecasting carbon prices based on real-time decomposition and causal temporal convolutional networks (2022)Carbon price prediction using multiple hybrid machine learning models optimized by genetic algorithm (2023)Multi-step carbon price forecasting using a hybrid model based on multivariate decomposition strategy and deep learning algorithms (2023)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China (2024)Thermal coal futures trading volume predictions through the neural network (2024)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle (1989)Dynamic Conditional Correlation (2002)A green path towards sustainable development: Optimal behavior of the duopoly game model with carbon neutrality instruments (2022)Environmental regulation, innovation capability, and green total factor productivity: New evidence from China (2022)The impacts of energy insecurity on green innovation: A multi-country study (2022)Economic Growth and the Environment (1994)How does foreign direct investment affect economic growth? (1998)A slacks-based measure of efficiency in data envelopment analysis (2001)Does green finance inspire sustainable development? Evidence from a global perspective (2022)Does industrial robot application promote green technology innovation in the manufacturing industry? (2022)Green technological innovation, green finance, and financial development and their role in green total factor productivity: Empirical insights from China (2022)Time Series Analysis Forecasting and Control. (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)
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References

  • 2022How does green finance affect green total factor productivity? Evidence from China1,183 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
  • 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
  • 2015Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction model209 cited
  • 2020A hybrid framework for carbon trading price forecasting: The role of multiple influence factor183 cited
  • 2020A new secondary decomposition ensemble learning approach for carbon price forecasting147 cited
  • 2021Capturing the dynamics of the China crude oil futures: Markov switching, co-movement, and volatility forecasting141 cited
  • 2020Spatiotemporal evolution of decoupling and driving forces of CO2 emissions on economic growth along the Belt and Road131 cited
  • 2021Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels125 cited
  • 2018Interval decomposition ensemble approach for crude oil price forecasting120 cited
  • 2015Understanding volatility dynamics in the EU-ETS market116 cited

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2012
Forecasting the European Carbon Market
100 cited
  • 2021A novel framework for carbon price prediction using comprehensive feature screening, bidirectional gate recurrent unit and Gaussian process regression85 cited
  • 2021Comparative advantage, endowment structure, and trade imbalances76 cited
  • Cited by

    • 2023Can green tax policy promote China's energy transformation?— A nonlinear analysis from production and consumption perspectives95 cited
    • 2024Carbon trading price forecasting in digitalization social change era using an explainable machine learning approach: The case of China as emerging country evidence68 cited
    • 2024Forecasting carbon prices in China's pilot carbon market: A multi-source information approach with conditional generative adversarial networks47 cited
    • 2024Framework for multivariate carbon price forecasting: A novel hybrid model45 cited
    • 2024A secondary decomposition-ensemble framework for interval carbon price forecasting43 cited
    • 2023A novel interval-valued carbon price analysis and forecasting system based on multi-objective ensemble strategy for carbon trading market42 cited
    • 2023Interval time series forecasting: A systematic literature review34 cited