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A New Method for Crude Oil Price Forecasting Based on Support Vector Machines · Study

WorkA New Method for Crude Oil Price Forecasting Based on Support Vector Machines

Wen Xie2006

Work2006

A New Method for Crude Oil Price Forecasting Based on Support Vector Machines

Wen Xie · Lean Yu · Shanying Xu · Shouyang Wang

258 citations·0/0 files stored·Lecture notes in computer science

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

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2004Forecasting stock market movement direction with support vector machine

Cited by

2009Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method 2018Online big data-driven oil consumption forecasting with Google trends 2015A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting 2015A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting 2007An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring 2023Oil price forecasting: A hybrid GRU neural network based on decomposition–reconstruction methods 2018Oil price forecasting using a hybrid model 2015Evolutionary Neural Network model for West Texas Intermediate crude oil price prediction

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Details

Year2006

Typeother

Published2006-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations258

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1007/11758549_63

openalex_workW1513232892

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