EconPapers    
Economics at your fingertips  
 

Corporate Bankruptcy: An Application of Altman Model in Predicting Potential of Failure in Nigerian Banking Sector

Raymond A. Ezejiofor, U. C. Nzewi and Pius V.C. Okoye

International Journal of Empirical Finance, 2014, vol. 2, issue 4, 152-171

Abstract: This study assessed the extent to which we can rely on the Altman Model to predict possibility of corporate bankruptcy/ failure in Nigerian banking sector. Data were collected from annual reports and accounts of the banks. Altman prediction was applied. Findings show that the Model was capable of measuring accurately the failure potential of sound and healthy banks. Findings also show that Altman bankruptcy prediction Model could have successfully predicted the failure of the banks that actually went under in the Nigerian banking sector. The implication of this finding is that the standard rating system of regulatory Authorities for predicting the extent of failure in the Nigerian banks is still low, hence, Nigeria has had ample cases of bank failures in the past; it would have been prevented if they had applied a model similar to Altman’s z-score. Based on this, researcher recommends that effort should be made by the regulatory authorities and agencies in the financial sector to domesticate the Altman’s model for a result oriented monitoring of the health of banks. Again there is the need to bring financial system under control and make them to fit for the service and the interest of depositors and shareholders.

Keywords: Corporate Bankruptcy; Altman Model; Nigerian banking sector (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://rassweb.org/admin/pages/ResearchPapers/Paper%202_1497043624.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rss:jnljef:v2i4p2

Access Statistics for this article

More articles in International Journal of Empirical Finance from Research Academy of Social Sciences
Bibliographic data for series maintained by Danish Khalil ().

 
Page updated 2025-03-19
Handle: RePEc:rss:jnljef:v2i4p2