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A novel framework for carbon price forecasting with uncertainties
16 references·2 citing·48 second hopsampled
A novel framework for carbon price forecasting with uncertainties (2022)A novel framework for carbon price foreca…How does internal carbon pricing affect corporate environmental performance? (2022)How does internal carbon pric…Do government subsidies improve innovation investment for new energy firms: A quasi-natural experiment of China's listed companies (2021)Do government subsidies impro…Pricing Uncertainty Induced by Climate Change (2019)Pricing Uncertainty Induced b…Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors (2019)Forecasting carbon prices in …Carbon trading volume and price forecasting in China using multiple machine learning models (2019)Carbon trading volume and pri…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 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…Carbon pricing in climate policy: seven reasons, complementary instruments, and political economy considerations (2017)Carbon pricing in climate pol…Using computational intelligence to forecast carbon prices (2016)Using computational intellige…Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction model (2015)Chaotic characteristic identi…Environmental Policy and Directed Technological Change: Evidence from the European Carbon Market (2014)Environmental Policy and Dire…Forecasting carbon futures volatility using GARCH models with energy volatilities (2013)Forecasting carbon futures vo…Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology (2012)Carbon price forecasting with…Abatement and Allocation in the Pilot Phase of the EU ETS (2010)Abatement and Allocation in t…Forecasting carbon prices in China's pilot carbon market: A multi-source information approach with conditional generative adversarial networks (2024)Forecasting carbon prices in …A secondary decomposition-ensemble framework for interval carbon price forecasting (2024)A secondary decomposition-ens…Comparing Predictive Accuracy (1994)Time series forecasting using a hybrid ARIMA and neural network model (2003)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A hybrid model for carbon price forecastingusing GARCH and long short-term memory network (2021)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)Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations (1991)Initial conditions and moment restrictions in dynamic panel data models (1995)Initial conditions and moment restrictions in dynamic panel data models (1998)Emission abatement: Untangling the impacts of the EU ETS and the economic crisis (2015)Assessing the impact of emissions trading scheme on low-carbon technological innovation: Evidence from China (2021)Does Pricing Carbon Mitigate Climate Change? 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References

  • 2014Environmental Policy and Directed Technological Change: Evidence from the European Carbon Market1,130 cited
  • 2017Carbon pricing in climate policy: seven reasons, complementary instruments, and political economy considerations488 cited
  • 2019Pricing Uncertainty Induced by Climate Change467 cited
  • 2012Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology376 cited
  • 2013Forecasting carbon futures volatility using GARCH models with energy volatilities346 cited
  • 2017Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression306 cited
  • 2019Carbon trading volume and price forecasting in China using multiple machine learning models294 cited
  • 2019A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network259 cited
  • 2010Abatement and Allocation in the Pilot Phase of the EU ETS238 cited
  • 2021Do government subsidies improve innovation investment for new energy firms: A quasi-natural experiment of China's listed companies237 cited
  • 2015Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction model209 cited
  • 2019Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors208 cited
  • 2018Analysis and forecasting of the carbon price using multi—resolution singular value decomposition and extreme learning machine optimized by adaptive whale optimization algorithm

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181 cited
  • 2018A hybrid model using signal processing technology, econometric models and neural network for carbon spot price forecasting173 cited
  • 2016Using computational intelligence to forecast carbon prices151 cited
  • 2022How does internal carbon pricing affect corporate environmental performance?149 cited
  • Cited by

    • 2024Forecasting carbon prices in China's pilot carbon market: A multi-source information approach with conditional generative adversarial networks47 cited
    • 2024A secondary decomposition-ensemble framework for interval carbon price forecasting43 cited