IDEAS home Printed from https://ideas.repec.org/a/aca/journl/y2020id269.html
   My bibliography  Save this article

Fractal analysis as a method for predicting the dynamics of the enterprises securities value based on their hidden innovative potential

Author

Listed:
  • V. V. Burlakov
  • E. M. Dement’eva
  • O. A. Dzyurdzya

Abstract

For success in the stock market, constant forecasting of market conditions and the value of securities is necessary. In addition to the basic methods, such as fundamental and technical analysis, used to predict market events, serious attention should be paid to fractal analysis. The study showed that along with the simplicity and originality, that method can take into account a rather serious component of the securities cost- the enterprise hidden innovative potential, which is currently at a fairly modest level. Nevertheless, when certain conditions are created, it is possible to realize the hidden characteristics of the enterprises innovative potential, which will cause an increase in the value of securities and a growth for the entire stock market. This article discusses the basic properties and nature of fractals, the scope of their application in the economic environment, and also highlights the advantages of the fractal approach in studying the dynamics of the stock market and the value of securities with regard to the hidden innovative potential of enterprises.

Suggested Citation

  • V. V. Burlakov & E. M. Dement’eva & O. A. Dzyurdzya, 2020. "Fractal analysis as a method for predicting the dynamics of the enterprises securities value based on their hidden innovative potential," RSUH/RGGU BULLETIN. Series Economics. Management. Law, Russian State University for the Humanities (RSUH), issue 3.
    • Handle: RePEc:aca:journl:y:2020:id:269
    DOI: 10.28995/2073-6304-2020-3-87-98
    as

    Download full text from publisher

    File URL: https://economics.rsuh.ru/jour/article/viewFile/269/255
    Download Restriction: no
    File URL: https://libkey.io/10.28995/2073-6304-2020-3-87-98?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aca:journl:y:2020:id:269. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ð ÐµÐ´Ð°ÐºÑ†Ð¸Ñ (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.