• DocumentCode
    493483
  • Title

    The Unascertained Measure Model of the Synthetic Evaluation on the Stock Market´s Characteristics

  • Author

    Baosen, Wang ; Xiangwei, Wang ; Ting, Zhao ; Qiuying, Li

  • Author_Institution
    Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan
  • Volume
    1
  • fYear
    2009
  • fDate
    7-8 March 2009
  • Firstpage
    436
  • Lastpage
    440
  • Abstract
    This paper sets up an unascertained measure model of synthetic evaluating on the stock market´s characteristics, and applies it to evaluate the present characteristics of the stock market in China. This model is supposed to be strict in theory. The measure function is meticulously constructed. According to sequence in dividing the evaluating space, the rule of the incredible recognition is introduced. The evaluating result is reasonable. It is the practical model for synthetic evaluating on the stock market. The purpose is to provide quantitative point of view on the stock market to predict. Simplex technical index measure was used would be misleading to investors, the technical indicators should be used with each other. Only a number of technical indexes are applied could comprehensively reflect the characteristics of the stock market. Only investors who have a comprehensive understanding of the stock market´s characteristics will be able to make more accurate investment decisions.
  • Keywords
    investment; stock markets; China; investor; simplex technical index measure; stock market characteristics; synthetic evaluation; unascertained measure model; Civil engineering; Computer science; Computer science education; Economic forecasting; Educational technology; Engineering management; Libraries; Stock markets; Technology management; Time measurement; evaluation; the stock market´s characteristics; unascertained;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-3581-4
  • Type

    conf

  • DOI
    10.1109/ETCS.2009.106
  • Filename
    4958809