信贷风险分析与卢旺达小额信贷质量——以合作银行COPEDU有限公司为例

Philippe Ndikubwimana, Barakamfitiye Abel, Florence Mukamanzi, Daniel Twesige, Laetitia Byukusenge
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摘要

小额信贷机构(MFIs)的主要目标,像任何其他商业组织是利润最大化。然而,不良贷款率的上升阻碍了小额信贷机构实现其主要目标。本研究旨在检验信贷风险分析对卢旺达小额信贷机构贷款组合质量的影响。信用风险分析采用催收政策、贷款政策和客户信用评估来衡量。另一方面,贷款质量组合由不良资产(NPAs)衡量。采用描述性研究设计来描述研究变量之间的关系。有目的地选择了30名经理和信贷员作为调查对象。数据通过问卷调查和财务报告从第一手和二手来源收集。数据分析采用描述性和推断性统计。调查结果表明,信用风险管理的各个方面都对优质贷款组合产生了影响,r平方为34.8%,p值为0.01。调查结果进一步显示,不良贷款的主要原因是制定不良的信贷政策和通过不适当的贷款评估和贷款催收程序缺乏对贷款的监测,占43.3%;66.7%;分别为53.3%,p值分别为0.01、0.012和0.000。研究人员进一步发现,当M=4.30时,管理决策、条件和程序对不良贷款的影响最大;SD .887;和M = 4.23;SD= .679。为了解决小额信贷机构不良贷款的危险,向COPEDU有限公司管理层建议以下措施。有效监控贷款,信用培训计划,严格的安全要求,并寻求信用资料局和承诺的收债人的服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Credit Risk Analysis and Microfinance Loan Quality in Rwanda: A Case Study of Cooperative COPEDU Ltd
The key objective of Microfinance Institutions (MFIs), like any other business organization is to maximize profits. However, the increased rates of non-performing loans (NPLs) hinder microfinance institutions from achieving their main objective.  This study aimed to examine the effect of credit risk analysis on the quality loan portfolio of Microfinance Institutions in Rwanda. The credit risk analysis was measured using collection policy, loan policy and client credit appraisal. On the other hand, the loan quality portfolio was measured by Non-performing Assets (NPAs).  A descriptive research design was used to describe the relationship between the study variables. A total of 30 respondents consisting of managers and credit officers were purposively selected. Data was collected from primary and secondary sources using questionnaires and financial reports.  Data was analyzed by using both descriptive and inferential statistics. The results from the survey indicated that all aspects of credit risk management have got an effect on the quality loan portfolio, as evidenced by an R-square of 34.8% and a P-value of 0.01. Findings further revealed that poorly formulated Credit policy and lack of monitoring of loans through inadequate loan appraisal and loan collection procedures were identified as the main causes of Non-Performing Loans (NPLs), at 43.3%; 66.7%; 53.3%, respectively, further evidenced by the P-values of 0.01,0.012 and 0.000. The researchers further found that management decisions, conditions, and procedures have the greatest effect on non-performing loans at M=4.30; SD .887; and M=4.23; SD= .679, respectively. To address the danger of non-performing loans in the MFIs, the following measures were recommended to the management of COPEDU LTD. Effective monitoring of loans, credit training programs, tight security requirements and seeking the services of credit reference bureau and committed debt collectors.
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