风险管理和内部审计应用对东帝汶国家商业银行不期待值贷款风险的影响

Yohanes Sri Guntur, Jaime Soares
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摘要

本研究的目的是为BNCTL实施风险管理和内部审计变量对不良信用风险的部分影响提供实证证据。本研究的人群均为123名BNCTL信用分析经理和员工。本研究的样本为123名BNCTL信贷分析经理和员工,采用普查抽样技术,使用分发的问卷多达123份,可使用的问卷多达70份,统计分析工具采用多元线性回归分析。第一次检验研究的结果表明,风险管理的应用对BNCTL信用分析的管理人员和员工的不良信用风险有显著影响。这意味着风险管理越完善,BNCTL就能更有效率和有效地降低不良信贷客户的风险。因此,实施银行风险管理对有效或最小化不良信用风险具有重要作用。希望BNCTL实施的风险管理将有助于降低不良贷款的风险。得到的t-count值为5,817,大于1995的t表,显著性水平为0,000,小于误差容限0.05。在检验第二个假设的同时,内部审计对不良信用风险也有显著的影响。这说明BNCTL的内部审计实施得越好,不良贷款的风险就越能得到有效的控制。得到的t-count值为2268,大于1995的t表,显著性水平为0.027,小于0.05的显著性水平。结果还表明,决心或贡献系数(R平方)应用程序变量的变量的风险管理和内部审计的风险不良信用是0.394或39.4%,也就是说,不良信贷的风险可以被解释变量的应用风险管理和内部审计的39.4%,剩下的就是(100% - 39.4%)= 60.6%不良信贷风险,不受其他变量的影响研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE INFLUENCE OF RISK MANAGEMENT AND INTERNAL AUDIT APPLICATION ON THE RISK OF NON-LOOKING LOANS AT BANCO NACIONAL DE COMERCIO DE TIMOR LESTE
The purpose of this study is to provide empirical evidence of the partial effect of the implementation of risk management and internal audit variables on the risk of bad credit at BNCTL. The population in this study were all 123 BNCTL Credit Analysis Managers and Staff. The samples used in this study were 123 BNCTL Credit Analysis Managers and Staff, using a census sampling technique, collecting data using questionnaires distributed as many as 123 and questionnaires that could be used as many as 70 and statistical analysis tool using multiple linear regression analysis. The results of the first test study show that the Application of Risk Management has a Significant Effect on the Risk of Bad Credit in Managers and Staff of BNCTL Credit Analysis. This means that the better the implementation of risk management, the BNCTL will be more efficient and effective in reducing the risk of bad credit customers. Thus, the implementation of banking risk management plays an important role in the effectiveness or minimization of bad credit risk. It is hoped that the risk management implemented by the BNCTL will assist in reducing the risk of bad loans. This is shown by the obtained t-count value of 5,817 greater than the t-table of 1,995, with a significant level of 0,000 less than the error tolerance of 0.05. While testing the second hypothesis, Internal Audit also has a significant effect on Bad Credit Risk. This shows that the better BNCTL implements internal audit, the more efficient and effective the risk of bad loans can be and can be controlled properly. This is indicated by the t-count value obtained of 2,268 which is greater than the t-table of 1,995, with a significant level of 0.027 which is smaller than the 0.05 significance level. The results also show that the coefficient of determination or contribution (R square) of the Variable of Application of Risk Management and the Variable of Internal Audit to the Risk of Bad Credit is 0.394 or 39.4%, meaning that the Risk of Bad Credit can be explained by the Variable of Application of Risk Management and Internal Audit of 39.4% and the remaining namely (100% - 39.4%) = 60.6% Bad Credit Risk, influenced by other variables not examined in this study.
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