• DocumentCode
    3302324
  • Title

    The analysis and prediction of stock price

  • Author

    Tao Xing ; Yuan Sun ; Qian Wang ; Guo Yu

  • Author_Institution
    Int. Sch. of Software, Wuhan Univ., Wuhan, China
  • fYear
    2013
  • fDate
    13-15 Dec. 2013
  • Firstpage
    368
  • Lastpage
    373
  • Abstract
    Nowadays, the stock market has attracted more and more people´s attention with its high risk and high returns, and forecasting method of stock price also emerge in an endless stream, such as nonlinear regression. In this paper, we introduce a kind of method based on Hidden Markov Model to forecast stock price trend. Which is different from the existing stock prediction, this paper attempts to find the hidden relationship existing between the stock prices, and corresponds to the Hidden Markov Model. The experimental result shows that, this method can get pretty accurate result, particularly effective in short period prediction.
  • Keywords
    forecasting theory; hidden Markov models; stock markets; hidden Markov model; nonlinear regression; stock market; stock price analysis; stock price prediction; stock price trend forecasting method; Hidden Markov models; Market research; Maximum likelihood estimation; Predictive models; Regression analysis; Stock markets; Hidden Markov Model; Model Optimization; Stock Price Forecast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2013 IEEE International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/GrC.2013.6740438
  • Filename
    6740438