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

Author

Listed:
  • Ilie Răscolean

    (University of Petroşani, Romania)

  • Remus Dobra

    (University of Petroşani, Romania)

  • Gabriela Corina Slusariuc

    (University of Petroşani, Romania)

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.

Suggested Citation

  • Ilie Răscolean & Remus Dobra & Gabriela Corina Slusariuc, 2012. "Predictive Analysis Software for Modeling The Altman Z-Score Financial Distress Status of Companies," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 12(3), pages 231-240.
    • Handle: RePEc:pet:annals:v:12:y:2012:i:3:p:231-240
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    More about this item

    Keywords

    scoring method; bankruptcy risk; predictive flowchart; LabView software;
    All these keywords.

    JEL classification:

    • D50 - Microeconomics - - General Equilibrium and Disequilibrium - - - General
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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