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Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/14652
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dc.contributor.authorAruna Saini-
dc.contributor.authorRamdhan Saini-
dc.date.accessioned2024-03-02T06:28:40Z-
dc.date.available2024-03-02T06:28:40Z-
dc.date.issued2010-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/14652-
dc.description.abstractThe prediction and prevention of financial distress is one of the major factors which will help to avoid bankruptcy. One of the most commonly used statistical ratio models for predicting business collapse is Altman's Z Score. This model has proven to be a reliable tool for bankruptcy forecasting in a wide variety of contexts and markets.-
dc.publisherJournal of Banking Information Technology and Management-
dc.subjectAltman's Z Score-
dc.subjectbankruptcy prediction-
dc.subjectcredit risk analysis-
dc.subjectfinancial health-
dc.subjectrisk assessment and viability.-
dc.titleUse of Altman Z Score Analysis for Evaluation of Financial Health of Hindustan Copper Ltd- a Case Study-
dc.volVol. 7-
dc.issuedNo. 2-
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