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An ICA-based support vector regression scheme for forecasting crude oil prices · Study

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ArticleAn ICA-based support vector regression scheme for forecasting crude oil prices

Liwei Fan2016

Article2016

An ICA-based support vector regression scheme for forecasting crude oil prices

Liwei Fan · Sijia Pan · Zimin Li · Huiping Li

86 citations·0/0 files stored·Technological Forecasting and Social Change

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Stock Market Forecasting Methods Forecasting Techniques and Applications Market Dynamics and Volatility

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References

2001Application of support vector machines in financial time series forecasting 2009Financial time series forecasting using independent component analysis and support vector regression 2012Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology 2011Crude oil price forecasting: Experimental evidence from wavelet decomposition and neural network modeling 2015A novel hybrid method for crude oil price forecasting 2006A New Method for Crude Oil Price Forecasting Based on Support Vector Machines 2009Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method 2015A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting

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Year2016

Typearticle

Published2016-05-22

VenueTechnological Forecasting and Social Change

ISSN-L0040-1625

Languageen

Citations86

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.techfore.2016.04.027

openalex_workW2408153441

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2020

A novel hybrid approach to forecast crude oil futures using intraday data

2018A novel method based on numerical fitting for oil price trend forecasting

2022Deterministic and uncertainty crude oil price forecasting based on outlier detection and modified multi-objective optimization algorithm

2019CPPCNDL: Crude oil price prediction using complex network and deep learning algorithms