IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-319-49559-0_65.html
   My bibliography  Save this book chapter

Model of Hospitals’ Financial Distress Forecasting: Comparative Study

In: New Trends in Finance and Accounting

Author

Listed:
  • Agnieszka Bem

    (Wroclaw University of Economics)

  • Rafał Siedlecki

    (Wroclaw University of Economics)

  • Paulina Ucieklak-Jeż

    (Jan Dlugosz University in Czestochowa)

  • Tatana Hajdikova

    (University of Economics in Prague)

Abstract

Bankruptcy forecasting models represent a higher level of financial analysis—bankruptcy models can predict impending danger of bankruptcy. The importance of bankruptcy models lies in the detection of approaching financial problems and what gives a chance of adopting appropriate management actions. The aim of research was to compare different bankruptcy forecasting models and their results for 133 hospitals from Poland, The Czech Republic and Slovakia. We have posed the following hypotheses: (H1) different bankruptcy forecasting models may give different signals and (H2) bankruptcy forecasting model elaborated for hospital industry gives more similar signals. We have found that employed model provide different results and that FSI’ results are much closer to results obtained from models elaborated for commercial companies (IN05, G INE PAN), rather than M-Model constructed on a basis of Czech, Polish and Slovak hospitals. What is more, we have found that FSI gives far more consistent results in models developed for the business sector—IN05 and G INE PAN. Our results also suggest that models dedicated to commercial businesses activity should not be directly applied to hospitals.

Suggested Citation

  • Agnieszka Bem & Rafał Siedlecki & Paulina Ucieklak-Jeż & Tatana Hajdikova, 2017. "Model of Hospitals’ Financial Distress Forecasting: Comparative Study," Springer Proceedings in Business and Economics, in: David Procházka (ed.), New Trends in Finance and Accounting, chapter 0, pages 709-721, Springer.
  • Handle: RePEc:spr:prbchp:978-3-319-49559-0_65
    DOI: 10.1007/978-3-319-49559-0_65
    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:978-3-319-49559-0_65. 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.