DocumentCode :
2075159
Title :
Identifying reaction of stock price to public information based on fuzzy c-means clustering
Author :
Li Chao-Chao ; Chi Kai ; Fu Fang-Ping ; Che Wen-Gang ; Zhao Qing-Jiang
Author_Institution :
Sch. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
fYear :
2010
fDate :
29-31 July 2010
Firstpage :
5520
Lastpage :
5525
Abstract :
The efficient markets hypothesis (EMH) maintains that market prices fully reflect all available information such as public or private information. Therefore, the study of analyzing the reaction of stock price to the information has attracted more and more attention. Here we proposed an effective measuring method using fuzzy c-means (FCM) for describing the reaction to public information, and further analyzing and quantifying the intensity. Taking the deposit reserve rate, a kind of typical public information, as an example, the clustering results show that there are there prominent characters of reaction in Shanghai A-share market. Furthermore, the empirical results indicate that the clustering technique has a good effect in classifying the intensity of reaction of stock market to public information.
Keywords :
fuzzy set theory; public information systems; stock markets; EMH; FCM; efficient market hypothesis; fuzzy C-means clustering; public information; stock market; stock price; Biological system modeling; Book reviews; Electronic mail; Finance; Physics; Stock markets; Daily Log-return; Deposit Reserve Rate; Fuzzy Clustering; Intensity of Reaction; Public Information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
Type :
conf
Filename :
5572201
Link To Document :
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