A new hybrid model for forecasting Brent crude oil priceHooman Abdollahi, Seyed Babak Ebrahimi2020-04-05articleEnergy133 citationsclosedNo readable copy stored yet — this record is metadata only.Forecasting Techniques and ApplicationsMarket Dynamics and VolatilityStock Market Forecasting MethodsAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 133 citations exist upstream.References1989A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle1996A test for independence based on the correlation dimension1980AN INTRODUCTION TO LONG‐MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING1981Fractional Differencing2006Chapter 4 Forecast Combinations2001Long memory and regime switching2004Oil and the Macroeconomy Since the 1970s1988Rational-expectations econometric analysis of changes in regimeCited by2021The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning2024Machine learning Brent crude oil price forecasts2021Short-term forecasting of natural gas prices by using a novel hybrid method based on a combination of the CEEMDAN-SE-and the PSO-ALS-optimized GRU network2020Predicting future Brent oil price on global markets2022Hybridization of hybrid structures for time series forecasting: a review2023Forecast energy demand, CO2 emissions and energy resource impacts for the transportation sector2025Machine Learning Green Gram Price Predictions2022Steel price index forecasting through neural networks: the composite index, long products, flat products, and rolled products