Does Summarization Help Stock Prediction? A News Impact Analysis

The authors study the problem of how news summarization can help stock price prediction, proposing a generic stock price prediction framework to enable the use of different external signals to predict stock prices. Experiments were conducted on five years of Hong Kong Stock Exchange data, with news...

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Bibliographic Details
Published inIEEE intelligent systems Vol. 30; no. 3; pp. 26 - 34
Main Authors Li, Xiaodong, Xie, Haoran, Song, Yangqiu, Zhu, Shanfeng, Li, Qing, Wang, Fu Lee
Format Journal Article
LanguageEnglish
Published Los Alamitos IEEE 01.05.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
artificial intelligence
Experiments
Impact analysis
intelligent systems
Investments
Media coverage
news summarization
Predictions
predictive analytics
Predictive models
Stock market
stock prediction
Stock prices
Hong Kong
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Summary:The authors study the problem of how news summarization can help stock price prediction, proposing a generic stock price prediction framework to enable the use of different external signals to predict stock prices. Experiments were conducted on five years of Hong Kong Stock Exchange data, with news reported by Finet; evaluations were performed at individual stock, sector index, and market index levels. The authors' results show that prediction based on news article summarization can effectively outperform prediction based on full-length articles on both validation and independent testing sets.
ISSN:1541-1672
1941-1294
DOI:10.1109/MIS.2015.1