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...

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Main Authors: ILIE RĂSCOLEAN, REMUS DOBRA, GABRIELA CORINA SLUSARIUC
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
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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
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