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Prediction of movement direction in crude oil prices based on semi-supervised learning · Study

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ArticlePrediction of movement direction in crude oil prices based on semi-supervised learning

Hyunjung Shin2012

Article2012

Prediction of movement direction in crude oil prices based on semi-supervised learning

Hyunjung Shin · Tianya Hou · Kanghee Park · Chan-Kyoo Park · Sunghee Choi

78 citations·0/0 files stored·Decision Support Systems

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

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References

2006Oil price risk and emerging stock markets 2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm 2009Financial time series forecasting using independent component analysis and support vector regression 2010Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches 1998Exchange Rates and Oil Prices 2006A New Method for Crude Oil Price Forecasting Based on Support Vector Machines 2001A semiparametric approach to short-term oil price forecasting 2003Implementing a stochastic model for oil futures prices

Cited by

2018Forecasting the WTI crude oil price by a hybrid-refined method 2014Predicting oil price movements: A dynamic Artificial Neural Network approach 2021Forecasting crude oil price with a new hybrid approach and multi-source data 2018A novel method based on numerical fitting for oil price trend forecasting 2022GCNET: Graph-based prediction of stock price movement using graph convolutional network

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Details

Year2012

Typearticle

Published2012-11-12

VenueDecision Support Systems

ISSN-L0167-9236

Languageen

Citations78

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.dss.2012.11.009

openalex_workW2157433151

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

2020Daily natural gas price forecasting by a weighted hybrid data-driven model

2024A blending ensemble learning model for crude oil price forecasting