Statistical Approach To Prediction Of Financial Distress Of Listed Firms In The Nairobi Securties Exchange

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.

Overall Rating

0

5 Star
(0)
4 Star
(0)
3 Star
(0)
2 Star
(0)
1 Star
(0)
APA

NDIEGE, J (2021). Statistical Approach To Prediction Of Financial Distress Of Listed Firms In The Nairobi Securties Exchange. Afribary. Retrieved from https://afribary.com/works/statistical-approach-to-prediction-of-financial-distress-of-listed-firms-in-the-nairobi-securties-exchange

MLA 8th

NDIEGE, JACK "Statistical Approach To Prediction Of Financial Distress Of Listed Firms In The Nairobi Securties Exchange" Afribary. Afribary, 05 May. 2021, https://afribary.com/works/statistical-approach-to-prediction-of-financial-distress-of-listed-firms-in-the-nairobi-securties-exchange. Accessed 19 Nov. 2024.

MLA7

NDIEGE, JACK . "Statistical Approach To Prediction Of Financial Distress Of Listed Firms In The Nairobi Securties Exchange". Afribary, Afribary, 05 May. 2021. Web. 19 Nov. 2024. < https://afribary.com/works/statistical-approach-to-prediction-of-financial-distress-of-listed-firms-in-the-nairobi-securties-exchange >.

Chicago

NDIEGE, JACK . "Statistical Approach To Prediction Of Financial Distress Of Listed Firms In The Nairobi Securties Exchange" Afribary (2021). Accessed November 19, 2024. https://afribary.com/works/statistical-approach-to-prediction-of-financial-distress-of-listed-firms-in-the-nairobi-securties-exchange

Document Details
JACK NDIEGE Field: Actuarial Science Type: Dissertation 83 PAGES (17371 WORDS) (pdf)