Statistical Approach To Prediction Of Financial Distress Of Listed Firms In The Nairobi Securties Exchange
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ABSTRACT
This 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.
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APA
(2026). Statistical Approach To Prediction Of Financial Distress Of Listed Firms In The Nairobi Securties Exchange. Afribary. Retrieved June 14, 2026, from http://library.afribary.com/works/statistical-approach-to-prediction-of-financial-distress-of-listed-firms-in-the-nairobi-securties-exchange
MLA
"Statistical Approach To Prediction Of Financial Distress Of Listed Firms In The Nairobi Securties Exchange." Afribary, 6 Jun. 2026, http://library.afribary.com/works/statistical-approach-to-prediction-of-financial-distress-of-listed-firms-in-the-nairobi-securties-exchange. Accessed June 14, 2026.
Chicago
"Statistical Approach To Prediction Of Financial Distress Of Listed Firms In The Nairobi Securties Exchange." Afribary (2026). Accessed June 14, 2026. http://library.afribary.com/works/statistical-approach-to-prediction-of-financial-distress-of-listed-firms-in-the-nairobi-securties-exchange