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Forecasting Crude Oil Price with an Autoregressive Integrated Moving Average (ARIMA) Model
10 references·1 citing·50 second hop
Forecasting Crude Oil Price with an Autoregressive Integrated Moving Average (ARIMA) Model (2013)Forecasting Crude Oil Price with an Autor…Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm (2008)Forecasting crude oil price w…Modeling and forecasting cointegrated relationships among heavy oil and product prices (2005)Modeling and forecasting coin…Forecasting short-run crude oil price using high- and low-inventory variables (2005)Forecasting short-run crude o…A monthly crude oil spot price forecasting model using relative inventories (2005)A monthly crude oil spot pric…A COMPARISON OF VAR AND NEURAL NETWORKS WITH GENETIC ALGORITHM IN FORECASTING PRICE OF OIL (2004)A COMPARISON OF VAR AND NEURA…Forecasting crude oil spot price using OECD petroleum inventory levels (2002)Forecasting crude oil spot pr…A semiparametric approach to short-term oil price forecasting (2001)A semiparametric approach to …Efficiency in the crude oil futures market (1998)Efficiency in the crude oil f…Oil Price Forecasting in the 1980s: What Went Wrong?* (1994)Oil Price Forecasting in the …Using belief networks to forecast oil prices (1991)Using belief networks to fore…Crude Oil Price Time Series Forecasting: A Novel Approach Based on Variational Mode Decomposition, Time-Series Imaging, and Deep Learning (2023)Crude Oil Price Time Series F…This is what happened to the oil price-macroeconomy relationship (1996)What happened to the oil price-macroeconomy relationship? (1996)The Long-Run Evolution of Energy Prices (1999)Prediction of movement direction in crude oil prices based on semi-supervised learning (2012)Predicting oil price movements: A dynamic Artificial Neural Network approach (2014)Forecasting spot oil price in a dynamic model averaging framework — Have the determinants changed over time? 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this work references cited by second hop

References

  • 2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm705 cited
  • 2001A semiparametric approach to short-term oil price forecasting253 cited
  • 2005Modeling and forecasting cointegrated relationships among heavy oil and product prices172 cited
  • 2005A monthly crude oil spot price forecasting model using relative inventories150 cited
  • 2004A COMPARISON OF VAR AND NEURAL NETWORKS WITH GENETIC ALGORITHM IN FORECASTING PRICE OF OIL133 cited
  • 2005Forecasting short-run crude oil price using high- and low-inventory variables124 cited
  • 1998Efficiency in the crude oil futures market117 cited
  • 1994Oil Price Forecasting in the 1980s: What Went Wrong?*112 cited
  • 2002Forecasting crude oil spot price using OECD petroleum inventory levels93 cited
  • 1991Using belief networks to forecast oil prices84 cited

Cited by

  • 2023Crude Oil Price Time Series Forecasting: A Novel Approach Based on Variational Mode Decomposition, Time-Series Imaging, and Deep Learning30 cited

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