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Carbon price prediction based on modified wavelet least square support vector machine
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Carbon price prediction based on modified wavelet least square support vector machine (2020)Carbon price prediction based on modified…A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network (2019)A carbon price prediction mod…Analysis and forecasting of the carbon price using multi—resolution singular value decomposition and extreme learning machine optimized by adaptive whale optimization algorithm (2018)Analysis and forecasting of t…A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting (2018)A novel multiscale nonlinear …A hybrid model using signal processing technology, econometric models and neural network for carbon spot price forecasting (2018)A hybrid model using signal p…Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression (2017)Forecasting carbon price usin…A deep learning ensemble approach for crude oil price forecasting (2017)A deep learning ensemble appr…A Carbon Price Forecasting Model Based on Variational Mode Decomposition and Spiking Neural Networks (2016)A Carbon Price Forecasting Mo…Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction model (2015)Chaotic characteristic identi…Forecasting carbon futures volatility using GARCH models with energy volatilities (2013)Forecasting carbon futures vo…Carbon price volatility: Evidence from EU ETS (2010)Carbon price volatility: Evid…An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect (2010)An overview of current resear…Dynamic behavior of CO2 spot prices (2008)Dynamic behavior of CO2 spot …Forecasting carbon price with attention mechanism and bidirectional long short-term memory network (2024)Forecasting carbon price with…Multi-step carbon price forecasting using a hybrid model based on multivariate decomposition strategy and deep learning algorithms (2023)Multi-step carbon price forec…Forecasting carbon price in China using a novel hybrid model based on secondary decomposition, multi-complexity and error correction (2023)Forecasting carbon price in C…Carbon price forecasting based on secondary decomposition and feature screening (2023)Carbon price forecasting base…Price and scale effects of China's carbon emission trading system pilots on emission reduction (2022)Price and scale effects of Ch…Hodrick–Prescott filter-based hybrid ARIMA–SLFNs model with residual decomposition scheme for carbon price forecasting (2022)Hodrick–Prescott filter-based…Ensemble forecasting system based on decomposition-selection-optimization for point and interval carbon price prediction (2022)Ensemble forecasting system b…Carbon price prediction models based on online news information analytics (2022)Carbon price prediction model…Carbon price prediction considering climate change: A text-based framework (2022)Carbon price prediction consi…A novel framework for carbon price forecasting with uncertainties (2022)A novel framework for carbon …Short-term prediction of carbon emissions based on the EEMD-PSOBP model (2021)Short-term prediction of carb…Optimal hybrid framework for carbon price forecasting using time series analysis and least squares support vector machine (2021)Optimal hybrid framework for …Carbon price prediction for China's ETS pilots using variational mode decomposition and optimized extreme learning machine (2021)Carbon price prediction for C…Carbon Price Forecasting Based on Improved CEEMDAN and Extreme Learning Machine Optimized by Sparrow Search Algorithm (2021)Carbon Price Forecasting Base…A three-stage framework for vertical carbon price interval forecast based on decomposition–integration method (2021)A three-stage framework for v…A new hybrid optimization ensemble learning approach for carbon price forecasting (2021)A new hybrid optimization ens…The energy–climate challenge: Recent trends in CO2 emissions from fuel combustion (2007)Modeling the price dynamics of CO2 emission allowances (2008)Price drivers and structural breaks in European carbon prices 2005–2007 (2008)Carbon finance and carbon market in China: Progress and challenges (2019)How does emission trading reduce China's carbon intensity? An exploration using a decomposition and difference-in-differences approach (2019)Can China’s policy of carbon emission trading promote carbon emission reduction? (2020)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)A hybrid model for carbon price forecastingusing GARCH and long short-term memory network (2021)THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS (1983)Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test (1988)Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation (1991)Modeling economic performance of interprovincial CO2 emission reduction quota trading in China (2013)Research on the efficiency of carbon trading market in China (2017)Effect of Chinese pilots carbon emission trading scheme on enterprises' total factor productivity: The moderating role of government participation and carbon trading market efficiency (2022)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)Optimal Control Theory : Applications to Management Science and Economics (2000)Modeling CO2 emission allowance prices and derivatives: Evidence from the European trading scheme (2009)Carbon price drivers: Phase I versus Phase II equilibrium? (2011)Price determination in the EU ETS market: Theory and econometric analysis with market fundamentals (2012)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Carbon trading volume and price forecasting in China using multiple machine learning models (2019)China's carbon emissions trading and stock returns (2019)Testing for a Unit Root in Time Series Regression (1988)Stock price prediction based on deep neural networks (2019)A comprehensive evaluation of ensemble learning for stock-market prediction (2020)Price forecasting through neural networks for crude oil, heating oil, and natural gas (2024)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)Forecasting Volatility in Financial Markets: A Review (2003)Forecasting Volatility in Financial Markets: A Review (2003)Modelling of carbon price in two real carbon trading markets (2019)Carbon price forecasting with optimization prediction method based on unstructured combination (2020)Hybridization of hybrid structures for time series forecasting: a review (2022)A hybrid framework for carbon trading price forecasting: The role of multiple influence factor (2020)A combination forecasting model based on hybrid interval multi-scale decomposition: Application to interval-valued carbon price forecasting (2021)
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References

  • 2010An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect434 cited
  • 2017A deep learning ensemble approach for crude oil price forecasting383 cited
  • 2013Forecasting carbon futures volatility using GARCH models with energy volatilities346 cited
  • 2008Dynamic behavior of CO2 spot prices345 cited
  • 2017Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression306 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
  • 2010Carbon price volatility: Evidence from EU ETS221 cited
  • 2015Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction model209 cited
  • 2018Analysis and forecasting of the carbon price using multi—resolution singular value decomposition and extreme learning machine optimized by adaptive whale optimization algorithm181 cited
  • 2018A hybrid model using signal processing technology, econometric models and neural network for carbon spot price forecasting173 cited
  • 2016A Carbon Price Forecasting Model Based on Variational Mode Decomposition and Spiking Neural Networks139 cited

Cited by

  • 2022Price and scale effects of China's carbon emission trading system pilots on emission reduction

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98 cited
  • 2023Multi-step carbon price forecasting using a hybrid model based on multivariate decomposition strategy and deep learning algorithms96 cited
  • 2022Carbon price prediction considering climate change: A text-based framework95 cited
  • 2021A new hybrid optimization ensemble learning approach for carbon price forecasting84 cited
  • 2022Hodrick–Prescott filter-based hybrid ARIMA–SLFNs model with residual decomposition scheme for carbon price forecasting82 cited
  • 2023Carbon price forecasting based on secondary decomposition and feature screening75 cited
  • 2021Carbon Price Forecasting Based on Improved CEEMDAN and Extreme Learning Machine Optimized by Sparrow Search Algorithm74 cited
  • 2023Forecasting carbon price in China using a novel hybrid model based on secondary decomposition, multi-complexity and error correction74 cited
  • 2021A three-stage framework for vertical carbon price interval forecast based on decomposition–integration method73 cited
  • 2024Forecasting carbon price with attention mechanism and bidirectional long short-term memory network69 cited
  • 2021Short-term prediction of carbon emissions based on the EEMD-PSOBP model63 cited
  • 2022Carbon price prediction models based on online news information analytics57 cited
  • 2022A novel framework for carbon price forecasting with uncertainties56 cited
  • 2022Ensemble forecasting system based on decomposition-selection-optimization for point and interval carbon price prediction55 cited
  • 2021Optimal hybrid framework for carbon price forecasting using time series analysis and least squares support vector machine53 cited
  • 2021Carbon price prediction for China's ETS pilots using variational mode decomposition and optimized extreme learning machine47 cited