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Carbon market price prediction based on sequence decomposition-reconstruction-dimensionality reduction and improved deep learning model
16 references·0 citing·56 second hopsampled
Carbon market price prediction based on sequence decomposition-reconstruction-dimensionality reduction and improved deep learning model (2023)Carbon market price prediction based on s…Interval forecasting of carbon price: A novel multiscale ensemble forecasting approach (2022)Interval forecasting of carbo…Carbon price forecasting: a novel deep learning approach (2022)Carbon price forecasting: a n…Carbon price forecasting based on CEEMDAN and LSTM (2022)Carbon price forecasting base…A novel carbon price prediction model based on optimized least square support vector machine combining characteristic-scale decomposition and phase space reconstruction (2022)A novel carbon price predicti…Carbon price forecasting system based on error correction and divide-conquer strategies (2021)Carbon price forecasting syst…A novel interval decomposition ensemble model for interval carbon price forecasting (2021)A novel interval decompositio…A new hybrid optimization ensemble learning approach for carbon price forecasting (2021)A new hybrid optimization ens…A new carbon price prediction model (2021)A new carbon price prediction…Price volatility in the carbon market in China (2020)Price volatility in the carbo…Carbon price prediction based on modified wavelet least square support vector machine (2020)Carbon price prediction based…A new secondary decomposition ensemble learning approach for carbon price forecasting (2020)A new secondary decomposition…The market-linkage of the volatility spillover between traditional energy price and carbon price on the realization of carbon value of emission reduction behavior (2019)The market-linkage of the vol…Impacts of carbon price level in carbon emission trading market (2019)Impacts of carbon price level…Exploring China's carbon emissions peak for different carbon tax scenarios (2019)Exploring China's carbon emis…Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression (2017)Forecasting carbon price usin…Carbon emission permit price volatility reduction through financial options (2014)Carbon emission permit price …Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network (2019)Carbon trading volume and price forecasting in China using multiple machine learning models (2019)China's carbon emissions trading and stock returns (2019)Greenhouse gas emissions in Norway: do carbon taxes work? (2003)How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target? (2014)Overcoming public resistance to carbon taxes (2018)The impact of carbon trading on economic output and carbon emissions reduction in China’s industrial sectors (2019)Carbon emission curbing effects and influencing mechanisms of China’s Emission Trading Scheme: The mediating roles of technique effect, composition effect and allocation effect (2020)Analyzing spillover effects between carbon and fossil energy markets from a time-varying perspective (2021)Competing Technologies, Increasing Returns, and Lock-In by Historical Events (1989)The marginal damage costs of carbon dioxide emissions: an assessment of the uncertainties (2004)Reduced carbon emission estimates from fossil fuel combustion and cement production in China (2015)Does China's carbon emission trading reduce carbon emissions? Evidence from listed firms (2020)Exploring the nonlinear association between environmental regulation and carbon intensity in China: The mediating effect of green technology (2020)Carbon emission forecasting and scenario analysis in Guangdong Province based on optimized Fast Learning Network (2021)Market and Price Developments in the European Union Emissions Trading Scheme (2007)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)Connectedness and spillover effects of US climate policy uncertainty on energy stock, alternative energy stock, and carbon future (2022)Multidimensional risk spillovers among carbon, energy and nonferrous metals markets: Evidence from the quantile VAR network (2022)Volatility spillover and hedging strategies between the European carbon emissions and energy markets (2023)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)The VIX, the variance premium and stock market volatility (2014)Can environmental innovation facilitate carbon emissions reduction? Evidence from China (2016)A comparison of the operation of China's carbon trading market and energy market and their spillover effects (2022)Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China's iron and steel industry (2023)Does carbon price uncertainty affect stock price crash risk? Evidence from China (2023)A deep learning ensemble approach for crude oil price forecasting (2017)Carbon price prediction considering climate change: A text-based framework (2022)Price and scale effects of China's carbon emission trading system pilots on emission reduction (2022)Multi-step carbon price forecasting using a hybrid model based on multivariate decomposition strategy and deep learning algorithms (2023)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)Time series forecasting using a hybrid ARIMA and neural network model (2003)Another look at measures of forecast accuracy (2006)Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology (2012)Forecasting carbon price trends based on an interpretable light gradient boosting machine and Bayesian optimization (2023)Probabilistic carbon price prediction with quantile temporal convolutional network considering uncertain factors (2023)China׳s carbon-emissions trading: Overview, challenges and future (2015)Consumption-based carbon emissions and International trade in G7 countries: The role of Environmental innovation and Renewable energy (2020)How does fiscal decentralization affect CO2 emissions? The roles of institutions and human capital (2020)A novel deep learning carbon price short-term prediction model with dual-stage attention mechanism (2023)Forecasting carbon price with attention mechanism and bidirectional long short-term memory network (2024)Bayesian-Optimized Gaussian Process Calibration for Forecasting Carbon Allowance Prices in Tianjin (2025)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)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)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)
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References

  • 2022Carbon price forecasting based on CEEMDAN and LSTM424 cited
  • 2017Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression306 cited
  • 2019Impacts of carbon price level in carbon emission trading market212 cited
  • 2019Exploring China's carbon emissions peak for different carbon tax scenarios186 cited
  • 2020A new secondary decomposition ensemble learning approach for carbon price forecasting147 cited
  • 2020Price volatility in the carbon market in China118 cited
  • 2021Carbon price forecasting system based on error correction and divide-conquer strategies113 cited
  • 2020Carbon price prediction based on modified wavelet least square support vector machine108 cited
  • 2019The market-linkage of the volatility spillover between traditional energy price and carbon price on the realization of carbon value of emission reduction behavior93 cited
  • 2021A new carbon price prediction model85 cited
  • 2021A new hybrid optimization ensemble learning approach for carbon price forecasting84 cited
  • 2021A novel interval decomposition ensemble model for interval carbon price forecasting76 cited
  • 2022Interval forecasting of carbon price: A novel multiscale ensemble forecasting approach73 cited
  • 2022A novel carbon price prediction model based on optimized least square support vector machine combining characteristic-scale decomposition and phase space reconstruction

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72 cited
  • 2022Carbon price forecasting: a novel deep learning approach68 cited
  • 2014Carbon emission permit price volatility reduction through financial options63 cited
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