Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16232
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dc.contributor.authorRaut, Vaibhaw Kewalchand-
dc.contributor.authorThangjam, Ravi-
dc.date.accessioned2024-07-22T03:55:07Z-
dc.date.available2024-07-22T03:55:07Z-
dc.date.issued2024-
dc.identifier.citation71p.en_US
dc.identifier.urihttps://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16232-
dc.description.abstractThe media and entertainment industries are experiencing significant transformations due to innovative technology, evolving consumer behaviours, and changing market conditions. Financial distress prediction models play a crucial role in assessing the financial health of companies. This comparative analysis examines the efficacy and reliability of three prominent models: Altman's Z-Score, Zmijewski X Score, and Fulmer's H-Score, within the context of the Media and Entertainment sector. The study aims to provide insights for stakeholders to make informed decisions and contribute to the improvement of financial distress prediction models. Data from selected companies in the Media and Entertainment sector was collected,en_US
dc.language.isoenen_US
dc.publisherAlliance School of Business, Alliance Universityen_US
dc.relation.ispartofseries2022MMBA07ASB280-
dc.subjectAltman’S Z-Scoreen_US
dc.subjectZmijewski X Scoreen_US
dc.subjectFulmer'S H-Score Modelen_US
dc.subjectFinancial Distress Prediction Modelsen_US
dc.titleFinancial Distress Prediction Models: A Comparative Analysis of Altman’S Z-Score Zmijewski X Score, and Fulmer'S H-Score Modelen_US
dc.typeOtheren_US
Appears in Collections:Dissertations - Alliance School of Business

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