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Influence of Loan Advance Ratio on the Loan Performance of Deposit Taking SACCOs in Kenya

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dc.contributor.author Wambua, Victor M.
dc.contributor.author Waweru, Kennedy M.
dc.contributor.author Kihoro, John M.
dc.date.accessioned 2022-04-21T13:18:32Z
dc.date.available 2022-04-21T13:18:32Z
dc.date.issued 2021
dc.identifier.citation Wambua, V., Waweru, K., & Kihoro, J. (2021). Influence of Loan Advance Ratio on the Loan Performance of Deposit Taking SACCOs in Kenya. African Journal of Co-Operative Development and Technology, 6(1), 18-27. Retrieved from https://journals.cuk.ac.ke/index.php/12/article/view/42 en_US
dc.identifier.issn 2708-6534
dc.identifier.uri https://journals.cuk.ac.ke/index.php/12/article/view/42/36
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/654
dc.description A research article published in The African Journal of Co-operative Development and Technology en_US
dc.description.abstract The financial viability and long - term sustainability of Sacco’s is threatened by credit risk that poses a challenge despite growth in the sector. We explore the influence of capital adequacy on loan performance of deposit taking Sacco’s in Kenya. Time series cross sectional unbalanced secondary panel data was analyzed from 175 deposit taking Sacco’s licensed by Sasra as at December 2017. The data was obtained from audited financial statement s submitted to Sasra over a five - year period (2013 - 2017). The unbalanced panel data was analyzed quantitatively using regression equations. The study adopted capital adequacy as the explanatory variable for the stud y and we applied both the long run (static) and short run (dynamic) panel models. The long run models assumed that previous period ’s performance did not affect present period’s performance and therefore, no persistence (no lag dependent explanatory variables) in the model. The short run models assumed that immediately previous period performance will lag dependent explanatory variable, thus influenced present period’s performance. The mann-whitney u test was utilized in testing for robustness to see if the results of the empirical model would hold when subjected to a non - parametric test. Before the administration of multiple regression analysis, a number of essential assumptions were checked so as to avoid type i and type ii errors that occur during the interpretation stages of the model. These assumptions included testing for heteroscedasticity, autocorrelation, multivariate normality, multi - collinearity and linearity. Results show that loan and advance ratio significantly influence performance of loans in deposit taking Sacco’s in Kenya. en_US
dc.language.iso en en_US
dc.publisher The Co-operative University of Kenya en_US
dc.subject Credit risk en_US
dc.subject Loan advance ratio en_US
dc.subject Total loans and advances en_US
dc.subject Total deposits en_US
dc.title Influence of Loan Advance Ratio on the Loan Performance of Deposit Taking SACCOs in Kenya en_US
dc.type Article en_US


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