DocumentCode :
2278284
Title :
Discovering the Correlation between Stock Time Series and Financial News
Author :
Fu, Tak-chung ; Lee, Ka-ki ; Sze, Donahue ; Chung, Fu-lai ; Ng, Chak-man
Author_Institution :
Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong
Volume :
1
fYear :
2008
fDate :
9-12 Dec. 2008
Firstpage :
880
Lastpage :
883
Abstract :
It is always expected that a correlation exists between the movement of stock prices (technical analysis) and news sentiment (fundamental analysis). If we can determine such a correlation, further interesting research directions will certainly be generated. In this paper, a system prototype is proposed for investigating the correlation between stock prices and news sentiment. Our primary target market is Hong Kong and the system is customized for Chinese language. Different methods and the impacts of various design parameters are tested in the experiments.
Keywords :
stock markets; time series; Chinese language; financial news; fundamental analysis; news sentiment; stock prices; stock time series; technical analysis; Algorithm design and analysis; Data visualization; Information management; Intelligent agent; Natural languages; Piecewise linear techniques; Prototypes; Stock markets; Testing; Time series analysis; data mining; financial news; sentiment analysis; stock time series;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-0-7695-3496-1
Type :
conf
DOI :
10.1109/WIIAT.2008.228
Filename :
4740568
Link To Document :
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