Does summarization help stock prediction? A news impact analysis

Xiaodong LI; Haoran XIE; Yangqiu SONG; Shanfeng ZHU; Qing LI; Fu Lee WANG

doi:10.1109/MIS.2015.1

Does summarization help stock prediction? A news impact analysis

Xiaodong LI, Haoran XIE^*, Yangqiu SONG, Shanfeng ZHU, Qing LI, Fu Lee WANG

^*Corresponding author for this work

Research output: Journal Publications › Journal Article (refereed) › peer-review

62 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	26-34
Number of pages	9
Journal	IEEE Intelligent Systems
Volume	30
Issue number	3
Early online date	12 Jan 2015
DOIs	https://doi.org/10.1109/MIS.2015.1
Publication status	Published - May 2015
Externally published	Yes

Keywords

intelligent systems
news summarization
predictive analytics
Predictive models
stock prediction

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10.1109/MIS.2015.1

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title = "Does summarization help stock prediction? A news impact analysis",

abstract = "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.",

keywords = "intelligent systems, news summarization, predictive analytics, Predictive models, stock prediction",

author = "Xiaodong LI and Haoran XIE and Yangqiu SONG and Shanfeng ZHU and Qing LI and WANG, {Fu Lee}",

year = "2015",

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AU - LI, Xiaodong

AU - XIE, Haoran

AU - SONG, Yangqiu

AU - ZHU, Shanfeng

AU - LI, Qing

AU - WANG, Fu Lee

PY - 2015/5

Y1 - 2015/5

N2 - 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.

AB - 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.

KW - intelligent systems

KW - news summarization

KW - predictive analytics

KW - Predictive models

KW - stock prediction

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U2 - 10.1109/MIS.2015.1

DO - 10.1109/MIS.2015.1

M3 - Journal Article (refereed)

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VL - 30

SP - 26

EP - 34

JO - IEEE Intelligent Systems

JF - IEEE Intelligent Systems

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Does summarization help stock prediction? A news impact analysis

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Keywords

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