SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A novel carbon price combination forecasting approach based on multi-source information fusion and hybrid multi-scale decomposition
16 references·4 citing·37 second hop
A novel carbon price combination forecasting approach based on multi-source information fusion and hybrid multi-scale decomposition (2022)A novel carbon price combination forecast…Carbon price forecasting based on CEEMDAN and LSTM (2022)Carbon price forecasting base…A hybrid model for carbon price forecastingusing GARCH and long short-term memory network (2021)A hybrid model for carbon pri…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…Online big data-driven oil consumption forecasting with Google trends (2018)Online big data-driven oil co…Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index (2018)Effective tourist volume fore…A review of China’s carbon trading market (2018)A review of China’s carbon tr…A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting (2018)A novel multiscale nonlinear …Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression (2017)Forecasting carbon price usin…Forecasting Chinese carbon emissions from fossil energy consumption using non-linear grey multivariable models (2016)Forecasting Chinese carbon em…Sentiment analysis on social media for stock movement prediction (2015)Sentiment analysis on social …Identifying Expertise to Extract the Wisdom of Crowds (2014)Identifying Expertise to Extr…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…Forecasting seasonals and trends by exponentially weighted moving averages (2004)Forecasting seasonals and tre…The Combination of Forecasts (1969)The Combination of ForecastsA novel crude oil price forecasting model using decomposition and deep learning networks (2024)A novel crude oil price forec…Intelligent forecasting model of stock price using neighborhood rough set and multivariate empirical mode decomposition (2023)Intelligent forecasting model…Causal carbon price interval prediction using lower upper bound estimation combined with asymmetric multi-objective evolutionary algorithm and long short-term memory (2023)Causal carbon price interval …A hybrid forecasting approach for China's national carbon emission allowance prices with balanced accuracy and interpretability (2023)A hybrid forecasting approach…The Adjustment of Stock Prices to New Information (1969)Efficient Capital Markets: II (1991)Twitter mood predicts the stock market (2011)The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices (2016)Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)The predictive power of public Twitter sentiment for forecasting cryptocurrency prices (2020)Constructive Consumer Choice Processes (1998)Heuristics and Biases: The Psychology of Intuitive Judgment (2004)The wisdom of crowds: why the many are smarter than the few and how collective wisdom shapes business, economies, societies and nations (2004)The gateway belief model: A large-scale replication (2019)Will Humans-in-the-Loop Become Borgs? Merits and Pitfalls of Working with AI (2021)Forecast combinations: An over 50-year review (2022)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)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)Comparing Predictive Accuracy (1995)China's carbon emissions trading and stock returns (2019)The conformable fractional grey system model (2019)A multi-factor integrated model for carbon price forecasting: Market interaction promoting carbon emission reduction (2021)Analysis and forecast of China's energy consumption structure (2021)Thermal coal futures trading volume predictions through the neural network (2024)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)25 years of time series forecasting (2006)Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy (2009)Exponential smoothing: The state of the art—Part II (2006)A new metric of absolute percentage error for intermittent demand forecasts (2016)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)Predictions of steel price indices through machine learning for the regional northeast Chinese market (2024)
this work references cited by second hop

References

  • 1969The Combination of Forecasts3,194 cited
  • 2004Forecasting seasonals and trends by exponentially weighted moving averages1,732 cited
  • 2015Sentiment analysis on social media for stock movement prediction626 cited
  • 2022Carbon price forecasting based on CEEMDAN and LSTM424 cited
  • 2012Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology376 cited
  • 2014Identifying Expertise to Extract the Wisdom of Crowds363 cited
  • 2013Forecasting carbon futures volatility using GARCH models with energy volatilities346 cited
  • 2021A hybrid model for carbon price forecastingusing GARCH and long short-term memory network316 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
  • 2016Forecasting Chinese carbon emissions from fossil energy consumption using non-linear grey multivariable models264 cited
  • 2019A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network259 cited
  • 2018A review of China’s carbon trading market254 cited
  • 2018Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

248 cited
  • 2018Online big data-driven oil consumption forecasting with Google trends236 cited
  • 2018A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting235 cited
  • Cited by

    • 2023A hybrid forecasting approach for China's national carbon emission allowance prices with balanced accuracy and interpretability52 cited
    • 2024A novel crude oil price forecasting model using decomposition and deep learning networks49 cited
    • 2023Causal carbon price interval prediction using lower upper bound estimation combined with asymmetric multi-objective evolutionary algorithm and long short-term memory37 cited
    • 2023Intelligent forecasting model of stock price using neighborhood rough set and multivariate empirical mode decomposition36 cited