IDEAS home Printed from https://ideas.repec.org/a/aci/journl/y2020id690.html
   My bibliography  Save this article

Index Of Effective Business In Financial Management

Author

Listed:
  • I. Yu. Vygodchikova

Abstract

Detailed model for analyzing and diagnosing the financial condition is the main incentive for effective company management. When selecting indicators, normalizing and grouping, there are a number of difficulties that are solved using integral ranking. However, integral ranking models are so heterogeneous that the company's management has to manually calculate important coefficients and draw conclusions, while financial analysts are engaged in calculating currently unimportant indicators. Therefore, business need several methods for calculating integral coefficient for key indicators and universal model of company is convolution into single (effective) index. Such methods have long existed in banking practice (effective rate). This is the first time that effective indexing indicator has been proposed to assess the financial condition of business. Article presents an algorithm for integral ranking of companies by key indicators of financial statements, and performs computational calculations. Author recommends using this tool to improve the efficiency of financial analytics the business.

Suggested Citation

  • I. Yu. Vygodchikova, 2020. "Index Of Effective Business In Financial Management," Business Strategies, Real Economy Publishing House, vol. 8(11).
    • Handle: RePEc:aci:journl:y:2020:id:690
    DOI: 10.17747/2311-7184-2020-11-306-309
    as

    Download full text from publisher

    File URL: https://www.strategybusiness.ru/jour/article/viewFile/690/576
    Download Restriction: no
    File URL: https://libkey.io/10.17747/2311-7184-2020-11-306-309?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:aci:journl:y:2020:id:690. 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: Кузнецов Ð Ð»ÐµÐºÑ ÐµÐ¹ Риколаевич (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.