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A hybrid ARIMA and support vector machines model in stock price forecasting · Study

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ArticleA hybrid ARIMA and support vector machines model in stock price forecasting

Ping‐Feng Pai2004

Article2004

A hybrid ARIMA and support vector machines model in stock price forecasting

Ping‐Feng Pai · Chih-Sheng Lin

1,000 citations·0/0 files stored·Omega

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Stock Market Forecasting Methods Forecasting Techniques and Applications Time Series Analysis and Forecasting

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 1,000 citations exist upstream.

References

1977Time Series Analysis: Forecasting and Control 1971Time Series Analysis Forecasting and Control.2003Time series forecasting using a hybrid ARIMA and neural network model 1969The Combination of Forecasts 1989Combining forecasts: A review and annotated bibliography 2003Proceedings of the International Joint Conference on Neural Networks, 2003.1990Combining forecasts: A review and annotated bibliography

Cited by

2010Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange 2008Surveying stock market forecasting techniques – Part II: Soft computing methods 2010A novel hybridization of artificial neural networks and ARIMA models for time series forecasting 2009An artificial neural network (p,d,q) model for timeseries forecasting 2009Textual analysis of stock market prediction using breaking financial news 2018Predicting the Price of Bitcoin Using Machine Learning 2015Evaluating multiple classifiers for stock price direction prediction 2019Literature review: Machine learning techniques applied to financial market prediction

Details

Year2004

Typearticle

Published2004-09-18

VenueOmega

ISSN-L0305-0483

Languageen

Citations1,000

Files0 public / 0

ShelfStock Market Forecasting Methods

Identifiers

doi10.1016/j.omega.2004.07.024

openalex_workW1986078433

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