{"title":"信用风险在尼泊尔A、B类银行业绩差异中的作用","authors":"Hari Gopal Risal, Suprima Poudel","doi":"10.3126/NRBER.V32I1.35297","DOIUrl":null,"url":null,"abstract":"This paper explains the performance differences between A and B class financial institutions arising from credit risk. The dynamic panel data from 2008 to 2019 has been considered from all 28 commercial banks and 11 national level development banks for analysis. Arellano Bond method has been performed to control the unobserved heterogeneity and to reduce biasness in the parameter estimation as they have both cross sectional and time dimensions. The results have shown clear differences in credit risk status between A class and B class bank with all the parameters except for Return on Assets (ROA). The results show that the A class commercial banks are less vulnerable than the B class bank as measured by Standard deviation of ROA ( standard deviation of return on equity (SDROE) both, yet offer substantially higher ROE and fairly higher NIM. Findings suggest that the past performance BFIs, regardless their classes, are capable enough to predict their future performance as all lag variables are significant. Development banks are advised to focus on maintaining appropriate credit to deposit ratio (CDR) as it has been affecting most of the performance indicators whereas, commercial banks are advised to monitor their loan loss provision to total loans and advances (LLPTLA) for better performance. The control variables have been found to have negligible effect on performance of banks yet higher inflation deteriorates the performance even at a small amount. Further, contradictory findings on influence of real gross domestic product (GDP) growth with the performance demands a need of further research. To recapitulate, the credit risk plays a vital role in performance of banks in Nepal and A class banks safer with returns.","PeriodicalId":372963,"journal":{"name":"NRB Economic Review","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Role of Credit Risk in Performance difference between A and B Class Banks in Nepal\",\"authors\":\"Hari Gopal Risal, Suprima Poudel\",\"doi\":\"10.3126/NRBER.V32I1.35297\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper explains the performance differences between A and B class financial institutions arising from credit risk. The dynamic panel data from 2008 to 2019 has been considered from all 28 commercial banks and 11 national level development banks for analysis. Arellano Bond method has been performed to control the unobserved heterogeneity and to reduce biasness in the parameter estimation as they have both cross sectional and time dimensions. The results have shown clear differences in credit risk status between A class and B class bank with all the parameters except for Return on Assets (ROA). The results show that the A class commercial banks are less vulnerable than the B class bank as measured by Standard deviation of ROA ( standard deviation of return on equity (SDROE) both, yet offer substantially higher ROE and fairly higher NIM. Findings suggest that the past performance BFIs, regardless their classes, are capable enough to predict their future performance as all lag variables are significant. 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引用次数: 2
摘要
本文解释了信用风险对A类和B类金融机构绩效差异的影响。2008 - 2019年的动态面板数据采用了全部28家商业银行和11家国家级开发银行的数据进行分析。Arellano Bond方法用于控制未观测到的异质性,并减少参数估计中的偏倚,因为它们同时具有横截面和时间维度。结果表明,除资产收益率(ROA)外,A类银行与B类银行的信用风险状况在所有参数上均存在明显差异。结果表明,A类商业银行的净资产收益率标准差(Standard deviation of return on equity, SDROE)均比B类商业银行更脆弱,但其净资产收益率(ROE)和净资产收益率(NIM)均显著高于B类商业银行。研究结果表明,无论其类别如何,过去的表现bfi都有足够的能力预测其未来的表现,因为所有滞后变量都是显著的。建议发展银行集中精力维持适当的信贷与存款比率(CDR),因为它已经影响了大多数业绩指标,而建议商业银行监测其贷款损失拨备与贷款和预付款总额(LLPTLA)的关系,以取得更好的业绩。研究发现,控制变量对银行绩效的影响可以忽略不计,但较高的通货膨胀率即使在很小的程度上也会使银行绩效恶化。此外,实际国内生产总值(GDP)增长对绩效的影响存在矛盾,需要进一步研究。综上所述,信用风险对尼泊尔银行的绩效起着至关重要的作用,a类银行的收益更安全。
Role of Credit Risk in Performance difference between A and B Class Banks in Nepal
This paper explains the performance differences between A and B class financial institutions arising from credit risk. The dynamic panel data from 2008 to 2019 has been considered from all 28 commercial banks and 11 national level development banks for analysis. Arellano Bond method has been performed to control the unobserved heterogeneity and to reduce biasness in the parameter estimation as they have both cross sectional and time dimensions. The results have shown clear differences in credit risk status between A class and B class bank with all the parameters except for Return on Assets (ROA). The results show that the A class commercial banks are less vulnerable than the B class bank as measured by Standard deviation of ROA ( standard deviation of return on equity (SDROE) both, yet offer substantially higher ROE and fairly higher NIM. Findings suggest that the past performance BFIs, regardless their classes, are capable enough to predict their future performance as all lag variables are significant. Development banks are advised to focus on maintaining appropriate credit to deposit ratio (CDR) as it has been affecting most of the performance indicators whereas, commercial banks are advised to monitor their loan loss provision to total loans and advances (LLPTLA) for better performance. The control variables have been found to have negligible effect on performance of banks yet higher inflation deteriorates the performance even at a small amount. Further, contradictory findings on influence of real gross domestic product (GDP) growth with the performance demands a need of further research. To recapitulate, the credit risk plays a vital role in performance of banks in Nepal and A class banks safer with returns.