• DocumentCode
    2853378
  • Title

    An Improved K-Line Fractal Dimension and Its Application on Stock Time Series Segmentation

  • Author

    Ni, Liping ; Ni, Zhiwei ; Gao, Yazhuo

  • Author_Institution
    Key Lab. of Process Optimization & Intell. Decision-making, Hefei Univ. of Technol., Hefei, China
  • fYear
    2010
  • fDate
    13-15 Aug. 2010
  • Firstpage
    328
  • Lastpage
    331
  • Abstract
    Fractal dimension can be used to analyze stock time series. This paper proposes a new K-line fractal dimension which is calculated from the positive or negative line separately. Accordingly, we call it positive line fractal dimension or negative line fractal dimension. Then negative line fractal dimension is used to segment time series. Experiment results show this new K-line fractal dimension can reflect the uptrend or downtrend of stock market better than traditional K-line fractal dimension.
  • Keywords
    fractals; stock markets; time series; improved k-line fractal dimension; stock market; stock time series segmentation; Equations; Estimation; Fractals; Indexes; Mathematical model; Stock markets; Time series analysis; K-line; negative line dimension; positive line fractal dimension; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering (BIFE), 2010 Third International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-7575-9
  • Type

    conf

  • DOI
    10.1109/BIFE.2010.83
  • Filename
    5621832