Browsing by Author "Baluku, Watsema"

Now showing 1 - 2 of 2

Loan assessment and financial performance of SACCOs
(Academia Publishing, 2022-03-09) Baluku, Watsema; Nuwagaba, Arthur; Anthony, K. Agume
The study kicked off to examine whether a relationship appears mid loan assessment and financial performance of SACCOs in Mbarara City. This undertaking espoused a non-experimental cross-sectional research design with both descriptive and analytical styles where a quantitative approach to data collection and analysis was considered. The study gathered quantitative data from 109 participants using questionnaires. Questionnaires were used to gather quantitative data which was then put into a data management tool, statistical package for social scientists version 20 for further description and inferences. The tool was then used to output a descriptive presentation and Pearson correlation coefficient stood employed to ascertain statistical significance between the loan assessment and financial performance. Findings from the undertaking exposed a solid positive affiliation amid loan assessment besides financial performance of SACCOs (r=0.870**, p<0.000). This undertaking resolved that loan assessment influences financial performance of SACCOs positively. The study commends SACCOs to adopt well thought and efficient loan assessment strategies as means to improve their financial performance
The relationship between loan assessment and financial performance of SACCOs: Evidence from Uganda
(Bishop Stuart University, 2019) Baluku, Watsema; Arthur, Nuwagaba; Anthony, Agume
The study set out to examine the relationship between loan assessment and financial performance of SACCOs in Mbarara Municipality. The study adopted a non-experimental cross-sectional research design. The study was both descriptive and analytical in nature with a quantitative approach of data collection and analysis. The study gathered quantitative data from 109 participants using questionnaires. Quantitative data gathered using questionnaires was coded and entered into SPSS version 20 for analysis. The analysis was done and findings presented using descriptive statistics in form of frequencies, percentages, mean and standard deviations. Pearson correlation coefficient was utilized to ascertain the statistical significance between the independent and dependent variables. Findings from the study revealed that there is a strong positive relationship between loan assessment and financial performance of SACCOs (r=0.870**, p<0.000). The study concluded that loan assessment positively influences financial performance of SACCOs. The study recommends that SACCOs need to adopt well thought and efficient loan assessment strategies as means to improve their financial performance