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Prediction of movement direction in crude oil prices based on semi-supervised learning
11 references·10 citing·54 second hop
Prediction of movement direction in crude oil prices based on semi-supervised learning (2012)Prediction of movement direction in crude…Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (2010)Combining multiple feature se…Financial time series forecasting using independent component analysis and support vector regression (2009)Financial time series forecas…Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm (2008)Forecasting crude oil price w…Oil price risk and emerging stock markets (2006)Oil price risk and emerging s…A New Method for Crude Oil Price Forecasting Based on Support Vector Machines (2006)A New Method for Crude Oil Pr…Wavelet-based prediction of oil prices (2005)Wavelet-based prediction of o…Modeling and forecasting cointegrated relationships among heavy oil and product prices (2005)Modeling and forecasting coin…A COMPARISON OF VAR AND NEURAL NETWORKS WITH GENETIC ALGORITHM IN FORECASTING PRICE OF OIL (2004)A COMPARISON OF VAR AND NEURA…Implementing a stochastic model for oil futures prices (2003)Implementing a stochastic mod…A semiparametric approach to short-term oil price forecasting (2001)A semiparametric approach to …Exchange Rates and Oil Prices (1998)Exchange Rates and Oil PricesA blending ensemble learning model for crude oil price forecasting (2024)A blending ensemble learning …GCNET: Graph-based prediction of stock price movement using graph convolutional network (2022)GCNET: Graph-based prediction…Forecasting crude oil price with a new hybrid approach and multi-source data (2021)Forecasting crude oil price w…Daily natural gas price forecasting by a weighted hybrid data-driven model (2020)Daily natural gas price forec…CPPCNDL: Crude oil price prediction using complex network and deep learning algorithms (2019)CPPCNDL: Crude oil price pred…Forecasting the WTI crude oil price by a hybrid-refined method (2018)Forecasting the WTI crude oil…A novel method based on numerical fitting for oil price trend forecasting (2018)A novel method based on numer…A hybrid supervised semi-supervised graph-based model to predict one-day ahead movement of global stock markets and commodity prices (2018)A hybrid supervised semi-supe…A modified neural network model for predicting the crude oil price (2016)A modified neural network mod…Predicting oil price movements: A dynamic Artificial Neural Network approach (2014)Predicting oil price movement…Forecasting stock market movement direction with support vector machine (2004)Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method (2009)A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting (2015)Online big data-driven oil consumption forecasting with Google trends (2018)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Modelling and forecasting fossil fuels, CO2 and electricity prices and their volatilities (2012)Modelling oil price volatility with structural breaks (2012)Time Series Analysis Forecasting and Control. 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this work references cited by second hop

References

  • 2006Oil price risk and emerging stock markets932 cited
  • 2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm705 cited
  • 2009Financial time series forecasting using independent component analysis and support vector regression538 cited
  • 2010Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches378 cited
  • 1998Exchange Rates and Oil Prices303 cited
  • 2006A New Method for Crude Oil Price Forecasting Based on Support Vector Machines258 cited
  • 2001A semiparametric approach to short-term oil price forecasting253 cited
  • 2003Implementing a stochastic model for oil futures prices213 cited
  • 2005Modeling and forecasting cointegrated relationships among heavy oil and product prices172 cited
  • 2005Wavelet-based prediction of oil prices165 cited
  • 2004A COMPARISON OF VAR AND NEURAL NETWORKS WITH GENETIC ALGORITHM IN FORECASTING PRICE OF OIL133 cited

Cited by

  • 2018Forecasting the WTI crude oil price by a hybrid-refined method97 cited
  • 2014Predicting oil price movements: A dynamic Artificial Neural Network approach85 cited
  • 2021Forecasting crude oil price with a new hybrid approach and multi-source data73 cited

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

  • 2018A novel method based on numerical fitting for oil price trend forecasting60 cited
  • 2022GCNET: Graph-based prediction of stock price movement using graph convolutional network59 cited
  • 2019CPPCNDL: Crude oil price prediction using complex network and deep learning algorithms54 cited
  • 2020Daily natural gas price forecasting by a weighted hybrid data-driven model53 cited
  • 2024A blending ensemble learning model for crude oil price forecasting48 cited
  • 2016A modified neural network model for predicting the crude oil price42 cited
  • 2018A hybrid supervised semi-supervised graph-based model to predict one-day ahead movement of global stock markets and commodity prices42 cited