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dc.contributor.authorNDIEGE, Jack
dc.date.accessioned2019-01-25T07:32:25Z
dc.date.available2019-01-25T07:32:25Z
dc.date.issued2017
dc.identifier.urihttps://repository.maseno.ac.ke/handle/123456789/1178
dc.descriptionMasters' Thesisen_US
dc.description.abstractThis research project examined the phenomenon of bankruptcy prediction from a developing economy perspective using the Altman Z-score models. These models rank among the bankruptcy models, whose main purpose is to detect the impending bankruptcy in good time. Drawing an empirical data from audited financial statements of firms listed in Nairobi Security Exchange in Kenya, the author tested Altman original Z-score (1968)and the Emerging Markets (1993) models using the dataset of the years ending between 2010 and 2015. Since the most frequently used tool so as to predict financial distress and bankruptcy is through financial analysis of financial ratios, this study employed the same ratios and therefore aimed to make an important contribution to the global discourse on corporate failure prediction in an increasingly globalised world.en_US
dc.language.isoen_USen_US
dc.publisherMaseno Universityen_US
dc.subjectBankruptcyen_US
dc.titleStatistical approach to prediction of financial distress Of listed firms in the Nairobi Securties exchangeen_US
dc.typeThesisen_US


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