Please use this identifier to cite or link to this item: http://10.9.150.37:8080/dspace//handle/atmiyauni/1789
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dc.contributor.authorPravin, pratik-
dc.contributor.authorDrashti, anantbhai-
dc.date.accessioned2024-11-20T13:59:40Z-
dc.date.available2024-11-20T13:59:40Z-
dc.date.issued2023-
dc.identifier.citationPravin, Pratik;Drashti anantbhai (2023) Examining The Financial Distress In Selected Indian Pharmaceutical Companies By Applying The Altman’s Z Score Model, Journal of Advanced Research in Economics and Administrative Sciences,4(4),1-13,2708-9320en_US
dc.identifier.issn2708-9320-
dc.identifier.urihttp://10.9.150.37:8080/dspace//handle/atmiyauni/1789-
dc.description.abstractPurpose: The necessity for financial analysis is growing as a result of industrialization, trade, and commerce. Predicting financial difficulties has become a key concern for all firms since the financial crisis happened in 2008. Approach/Methodology/Design: For assessing a company's financial health and the likelihood of insolvency, employ Altman’s Z-score model. Early bankruptcy prediction is vital for both the parties involved in the company and society. Based on their sales in the year 2021-2022, the top five pharmaceutical companies listed on the Bombay Stock Exchange were chosen as a sample for this study. The period of the study is five years, from 2017-2018 to 2021-2022. Findings: For this study, secondary data is employed. The collected data was examined by using Altman's "Z" score model in Microsoft Excel. Originality/value: The results show that the average Z-score for the pharmaceutical sector over the course of the study was greater than 4.5, which is significantly greater than the threshold value of 1.8en_US
dc.language.isoenen_US
dc.publisherJournal of Advanced Research in Economics and Administrative Sciencesen_US
dc.subjectFinancial Distressen_US
dc.subjectBankruptcyen_US
dc.subjectAltman’s Z-Score Modelen_US
dc.subjectPharmaceutical Industryen_US
dc.titleExamining The Financial Distress In Selected Indian Pharmaceutical Companies By Applying The Altman’s Z Score Modelen_US
dc.typeArticleen_US
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