LOANS AND ADVANCES EVALUATION WITH DISCRIMINANT ANALYSIS: A CASE STUDY OF FIVE COMMERCIAL BANKS

AUTHOR: OLUSOLA, MICHAEL OLUGBOYEGA 

DEPARTMENT: STATISTICS

AFFILIATION: NNAMDI AZIKIWE UNIVERSITY, AWKA

The study examined critical factors that discriminate between Nonperforming loans and advances and performing ones in commercial Banks. Non-performing credits has been a major cankerworm that continuously affects the Nigerian Banking System. A linear discriminant function was developed after considering the eight factors responsible for discriminating between Performing credits and Non-performing credits. The study revealed that only two factors; years of experience and the tenor of the credit facility were the most important discriminatory factors that successfully discriminate between Performing and Non-performing credits. The model developed for the analysis is Y = 0.282 X4 – 0.234X8 . This model was evaluated using F-value, Chi-square, Eigenvalue, Canonical correlation and Wilk’s Lambda, and it was confirmed to be significant in discriminating between the two credit groups.

TO VIEW THE FULL CONTENT OF THIS DOCUMENT, PLEASE VISIT THE UNIZIK LIBRARY WEBSITE USING THIS LINK, http://naulibrary.org/dglibrary/admin/book_directory/Thesis/10011.pdf

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