IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-319-70055-7_41.html
   My bibliography  Save this book chapter

Some Remarks on the Quantification of the Company Financial Health

In: Advances in Panel Data Analysis in Applied Economic Research

Author

Listed:
  • Erika Spuchlakova

    (University of Zilina in Zilina, Faculty of Operation and Economics of Transport and Communications)

  • Katarina Zvarikova

    (University of Zilina in Zilina, Faculty of Operation and Economics of Transport and Communications)

  • Tomas Kliestik

    (University of Zilina in Zilina, Faculty of Operation and Economics of Transport and Communications)

Abstract

In the field of company management arose several models which task is the prediction of company bankruptcy. According to a study of Aziz and Dar (Corp Govern 6(1): 18–33, 2006), the aim of bankruptcy prediction models is primarily the early detection of financial difficulties and then adoption and application of the most appropriate corrective actions. Detection of financial difficulties is very difficult; its cause is becoming more diverse. The aim of this paper is to analyse company financial health, the causes of company bankruptcies, and the characteristics of those companies and to clarify the forecasting tools (or bankruptcy prediction models). For these purposes, qualitative analysis was used which is mainly focused on the compilation of the results from the present studies. In addition to analysing the causes of company bankruptcies, we focused on the summary of the models that are used for predicting company bankruptcies and proved in advance to anticipate the impending financial difficulties of the company.

Suggested Citation

  • Erika Spuchlakova & Katarina Zvarikova & Tomas Kliestik, 2018. "Some Remarks on the Quantification of the Company Financial Health," Springer Proceedings in Business and Economics, in: Nicholas Tsounis & Aspasia Vlachvei (ed.), Advances in Panel Data Analysis in Applied Economic Research, chapter 0, pages 563-572, Springer.
  • Handle: RePEc:spr:prbchp:978-3-319-70055-7_41
    DOI: 10.1007/978-3-319-70055-7_41
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:prbchp:978-3-319-70055-7_41. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.