EconPapers    
Economics at your fingertips  
 

Predictive Analysis Software for Modeling The Altman Z-Score Financial Distress Status of Companies

Ilie Răscolean (), Remus Dobra and Gabriela Corina Slusariuc ()
Additional contact information
Ilie Răscolean: University of Petroşani, Romania
Remus Dobra: University of Petroşani, Romania
Gabriela Corina Slusariuc: University of Petroşani, Romania

Annals of the University of Petrosani, Economics, 2012, vol. 12, issue 3, 231-240

Abstract: Literature shows some bankruptcy methods for determining the financial distress status of companies and based on this information we chosen Altman statistical model because it has been used a lot in the past and like that it has become a benchmark for other methods. Based on this financial analysis flowchart, programming software was developed that allows the calculation and determination of the bankruptcy probability for a certain rate of failure Z-score, corresponding to a given interval that is equal to the ratio of the number of bankrupt companies and the total number of companies (bankrupt and healthy) interval.

Keywords: scoring method; bankruptcy risk; predictive flowchart; LabView software (search for similar items in EconPapers)
JEL-codes: D50 G32 (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.upet.ro/annals/economics/pdf/2012/part3/Rascolean-Dobra-Slusariuc.pdf (application/pdf)

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:pet:annals:v:12:y:2012:i:3:p:231-240

Access Statistics for this article

More articles in Annals of the University of Petrosani, Economics from University of Petrosani, Romania
Bibliographic data for series maintained by Imola Driga ().

 
Page updated 2025-03-19
Handle: RePEc:pet:annals:v:12:y:2012:i:3:p:231-240