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Forecasting carbon dioxide emission price using a novel mode decomposition machine learning hybrid model of CEEMDAN‐LSTM

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References

2008Modeling the price dynamics of CO2 emission allowances695 cited
2014The Valuation Relevance of Greenhouse Gas Emissions under the European Union Carbon Emissions Trading Scheme481 cited
2022Carbon price forecasting based on CEEMDAN and LSTM424 cited
2009Carbon futures and macroeconomic risk factors: A view from the EU ETS410 cited
2022Market incentives, carbon quota allocation and carbon emission reduction: Evidence from China's carbon trading pilot policy386 cited
2013Forecasting carbon futures volatility using GARCH models with energy volatilities346 cited
2011Carbon price drivers: Phase I versus Phase II equilibrium?329 cited
2021A hybrid model for carbon price forecastingusing GARCH and long short-term memory network316 cited
2012Price determination in the EU ETS market: Theory and econometric analysis with market fundamentals295 cited
2015The dynamic volatility spillover between European carbon trading market and fossil energy market280 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
2015Forecasting exchange rate using deep belief networks and conjugate gradient method234 cited
2018Environmental integrity of international carbon market mechanisms under the Paris Agreement

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220 cited

2020An innovative random forest-based nonlinear ensemble paradigm of improved feature extraction and deep learning for carbon price forecasting202 cited

2022Dependence structure and dynamic connectedness between green bonds and financial markets: Fresh insights from time-frequency analysis before and during COVID-19 pandemic182 cited

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2023Carbon price prediction based on decomposition technique and extreme gradient boosting optimized by the grey wolf optimizer algorithm38 cited