• 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