PREDICTIVE ANALYSIS SOFTWARE FOR MODELING THE ALTMAN Z-SCORE FINANCIAL DISTRESS STATUS OF COMPANIES
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 analysi...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Petrosani
2012-10-01
|
Series: | Annals of the University of Petrosani: Economics |
Subjects: | |
Online Access: | http://www.upet.ro/annals/economics/pdf/2012/part3/Rascolean-Dobra-Slusariuc.pdf |
id |
doaj-21ad0fcddc034f258bad6981b88c5512 |
---|---|
record_format |
Article |
spelling |
doaj-21ad0fcddc034f258bad6981b88c55122020-11-24T23:26:10ZengUniversity of PetrosaniAnnals of the University of Petrosani: Economics1582-59492247-86202012-10-01XII3231240PREDICTIVE ANALYSIS SOFTWARE FOR MODELING THE ALTMAN Z-SCORE FINANCIAL DISTRESS STATUS OF COMPANIESILIE RĂSCOLEAN0REMUS DOBRA1GABRIELA CORINA SLUSARIUC2University of Petrosani, RomaniaUniversity of Petrosani, RomaniaUniversity of Petrosani, RomaniaLiterature 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.http://www.upet.ro/annals/economics/pdf/2012/part3/Rascolean-Dobra-Slusariuc.pdfscoring methodbankruptcy riskpredictive flowchartLabView software |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
ILIE RĂSCOLEAN REMUS DOBRA GABRIELA CORINA SLUSARIUC |
spellingShingle |
ILIE RĂSCOLEAN REMUS DOBRA GABRIELA CORINA SLUSARIUC PREDICTIVE ANALYSIS SOFTWARE FOR MODELING THE ALTMAN Z-SCORE FINANCIAL DISTRESS STATUS OF COMPANIES Annals of the University of Petrosani: Economics scoring method bankruptcy risk predictive flowchart LabView software |
author_facet |
ILIE RĂSCOLEAN REMUS DOBRA GABRIELA CORINA SLUSARIUC |
author_sort |
ILIE RĂSCOLEAN |
title |
PREDICTIVE ANALYSIS SOFTWARE FOR MODELING THE ALTMAN Z-SCORE FINANCIAL DISTRESS STATUS OF COMPANIES |
title_short |
PREDICTIVE ANALYSIS SOFTWARE FOR MODELING THE ALTMAN Z-SCORE FINANCIAL DISTRESS STATUS OF COMPANIES |
title_full |
PREDICTIVE ANALYSIS SOFTWARE FOR MODELING THE ALTMAN Z-SCORE FINANCIAL DISTRESS STATUS OF COMPANIES |
title_fullStr |
PREDICTIVE ANALYSIS SOFTWARE FOR MODELING THE ALTMAN Z-SCORE FINANCIAL DISTRESS STATUS OF COMPANIES |
title_full_unstemmed |
PREDICTIVE ANALYSIS SOFTWARE FOR MODELING THE ALTMAN Z-SCORE FINANCIAL DISTRESS STATUS OF COMPANIES |
title_sort |
predictive analysis software for modeling the altman z-score financial distress status of companies |
publisher |
University of Petrosani |
series |
Annals of the University of Petrosani: Economics |
issn |
1582-5949 2247-8620 |
publishDate |
2012-10-01 |
description |
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. |
topic |
scoring method bankruptcy risk predictive flowchart LabView software |
url |
http://www.upet.ro/annals/economics/pdf/2012/part3/Rascolean-Dobra-Slusariuc.pdf |
work_keys_str_mv |
AT ilierascolean predictiveanalysissoftwareformodelingthealtmanzscorefinancialdistressstatusofcompanies AT remusdobra predictiveanalysissoftwareformodelingthealtmanzscorefinancialdistressstatusofcompanies AT gabrielacorinaslusariuc predictiveanalysissoftwareformodelingthealtmanzscorefinancialdistressstatusofcompanies |
_version_ |
1725555855402729472 |