Model of Hospitals’ Financial Distress Forecasting: Comparative Study

Agnieszka Bem (), Rafał Siedlecki (), Paulina Ucieklak-Jeż () and Tatana Hajdikova ()
Additional contact information
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

Chapter Chapter 65 in New Trends in Finance and Accounting, 2017, pp 709-721 from Springer

Abstract: 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.

Keywords: Hospital; Financial distress; Forecasting; M-Model (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-319-49559-0_65

Ordering information: This item can be ordered from
http://www.springer.com/9783319495590

DOI: 10.1007/978-3-319-49559-0_65

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().