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dc.contributor.authorKashyap, Suresh-
dc.contributor.authorBansal, Rohit-
dc.date.accessioned2019-12-28T04:24:24Z-
dc.date.available2019-12-28T04:24:24Z-
dc.date.issued2019-05-19-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/4388-
dc.description.abstractIn the times when banks are helplessly chasing corporate defaulters in legal battles, there is a need to predict the distress of the company by using some model. Studies related to financial distress are mainly focused on certain variables that may be able to make a distinction between a financially healthy and distress firm. The intend of the studyis to construct a statistical model which will make use of certain financial ratios which will be helpful in finding whether a company will fall into distress or not in future. Multiple discriminant analysis has been applied to diffrentiate between financially distress and nondistress companies. The final model predicted 95% of the cases accurately prior to distress.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Recent Technology and Engineering (IJRTE)en_US
dc.subjectCorporateen_US
dc.subjectDefaultersen_US
dc.subjectFinancially distressen_US
dc.subjectModelen_US
dc.subjectMultiple discriminant analysisen_US
dc.subjectRatiosen_US
dc.titleModeling Financial Distress Prediction of Indian Companies (Only Abstract)en_US
dc.typeArticleen_US
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