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A CEEMD-ARIMA-SVM model with structural breaks to forecast the crude oil prices linked with extreme events
16 references·1 citing·48 second hop
A CEEMD-ARIMA-SVM model with structural breaks to forecast the crude oil prices linked with extreme events (2022)A CEEMD-ARIMA-SVM model with structural b…COVID-19 and the march 2020 stock market crash. Evidence from S&P1500 (2020)COVID-19 and the march 2020 s…Forecasting Stock Market Movement Direction Using Sentiment Analysis and Support Vector Machine (2018)Forecasting Stock Market Move…Asymmetric impacts of oil price uncertainty on Chinese stock returns under different market conditions: Evidence from oil volatility index (2018)Asymmetric impacts of oil pri…A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting (2018)A novel multiscale nonlinear …Forecasting the volatility of crude oil futures using HAR-type models with structural breaks (2016)Forecasting the volatility of…Oil price volatility and oil-related events: An Internet concern study perspective (2014)Oil price volatility and oil-…Out-of-Sample Forecast Tests Robust to the Choice of Window Size (2012)Out-of-Sample Forecast Tests …Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method (2009)Estimating the impact of extr…The relationship between crude oil spot and futures prices: Cointegration, linear and nonlinear causality (2008)The relationship between crud…Impact of crude oil price volatility on economic activities: An empirical investigation in the Thai economy (2008)Impact of crude oil price vol…Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm (2008)Forecasting crude oil price w…A new approach for crude oil price analysis based on Empirical Mode Decomposition (2007)A new approach for crude oil …Bayesian analysis of stochastic volatility models with fat-tails and correlated errors (2003)Bayesian analysis of stochast…A case study on using neural networks to perform technical forecasting of forex (2000)A case study on using neural …Generalized autoregressive conditional heteroskedasticity (1986)Generalized autoregressive co…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Autoregressive Conditional He…Fortify the investment performance of crude oil market by integrating sentiment analysis and an interval-based trading strategy (2023)Fortify the investment perfor…Time Series Analysis Forecasting and Control. 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References

  • 1986Generalized autoregressive conditional heteroskedasticity22,836 cited
  • 1982Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation20,695 cited
  • 2020COVID-19 and the march 2020 stock market crash. Evidence from S&P1500726 cited
  • 2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm706 cited
  • 2003Bayesian analysis of stochastic volatility models with fat-tails and correlated errors633 cited
  • 2007A new approach for crude oil price analysis based on Empirical Mode Decomposition447 cited
  • 2012Out-of-Sample Forecast Tests Robust to the Choice of Window Size419 cited
  • 2000A case study on using neural networks to perform technical forecasting of forex399 cited
  • 2008The relationship between crude oil spot and futures prices: Cointegration, linear and nonlinear causality351 cited
  • 2008Impact of crude oil price volatility on economic activities: An empirical investigation in the Thai economy288 cited
  • 2016Forecasting the volatility of crude oil futures using HAR-type models with structural breaks269 cited
  • 2018Asymmetric impacts of oil price uncertainty on Chinese stock returns under different market conditions: Evidence from oil volatility index268 cited
  • 2018Forecasting Stock Market Movement Direction Using Sentiment Analysis and Support Vector Machine257 cited

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2009
Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method
253 cited
  • 2014Oil price volatility and oil-related events: An Internet concern study perspective237 cited
  • 2018A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting235 cited
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    • 2023Fortify the investment performance of crude oil market by integrating sentiment analysis and an interval-based trading strategy27 cited