• DocumentCode
    3509498
  • Title

    Prediction of Growth Rate of Operating Income Using Securities Reports

  • Author

    Nakatoh, Tetsuya ; Amano, Hideharu ; Hirokawa, Sachio

  • Author_Institution
    Res. Inst. for Inf. Technol., Kyushu Univ., Fukuoka, Japan
  • fYear
    2013
  • fDate
    Aug. 31 2013-Sept. 4 2013
  • Firstpage
    84
  • Lastpage
    88
  • Abstract
    Corporate analysis is needed for various purposes such as finding a good business partner or a good employment, as well as choosing a good investment. Conventionally, it has been based mainly on financial figures. Recent advances in natural language processing technology, however, has activated studies on analysis of non-financial, textual data. This paper tries to predict the growth rate of the operating income of a company from text data contained in the security report of that company. It reports that this method can classify profitable companies and loss-making ones at 55% F-measure.
  • Keywords
    data analysis; investment; natural language processing; security of data; corporate analysis; financial figures; growth rate prediction; investment; natural language processing technology; nonfinancial textual data analysis; operating income; security report; text data; Accuracy; Companies; Feature extraction; Security; Stock markets; Support vector machines; Corporate analysis; SVM; Securities Reports;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Applied Informatics (IIAIAAI), 2013 IIAI International Conference on
  • Conference_Location
    Los Alamitos, CA
  • Print_ISBN
    978-1-4799-2134-8
  • Type

    conf

  • DOI
    10.1109/IIAI-AAI.2013.50
  • Filename
    6630322