Determinants of Non-performing Loans

M. Waqas, Nudrat Fatima, Aryan Khan
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引用次数: 43

Abstract

The aim of the empirical study is to investigate credit risk determinants in banking sectors across three kinds of South Asian economies. An accumulated sample of 105 unbalanced panel data of financial firms over the period of 2000-2015, by applying General Method of Moment (GMM) estimation techniques one-step at the difference in order to identify factors influencing credit risk. This study is inspired by two broad categories of explanatory variables which are bank-specific and macroeconomic. Bank-specific factors influencing unsystematic risk, while macroeconomic factors promoting systematic risk. The study uses a proxy of non-performing loans for credit risk in banking sectors of Pakistan, India, and Bangladesh. The empirical results have been found aligned with theoretical arguments and literature as expected. In comparison, NPLs in Pakistan is greater than India and Bangladesh, while India has the lowest ratio of non-performing loans. The study documents that bank-specific factors (inefficiency, profitability, capital ratio and leverage) have a significant contribution towards credit risk. Further, the study also finds a significant impact of macroeconomic variables on non-performing loans. While, the result in the case of Bangladesh predicts contradictions that have no significant effect on non-performing loans at various levels. The overall results indicate that credit risk is not influenced by only external factors but also affect by internal factors like bad management and skimping etc.
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不良贷款的决定因素
实证研究的目的是调查三种南亚经济体银行部门的信贷风险决定因素。本文以2000-2015年期间105家金融企业非均衡面板数据为样本,采用通用矩量法(GMM)一步差分估计技术,对影响信用风险的因素进行了识别。这项研究的灵感来自两大类解释变量,即银行特有的和宏观经济的。银行自身因素影响非系统性风险,宏观经济因素促进系统性风险。该研究使用了巴基斯坦、印度和孟加拉国银行业不良贷款的信用风险指标。实证结果与理论观点和文献不谋而合。相比之下,巴基斯坦的不良贷款高于印度和孟加拉国,而印度的不良贷款率最低。该研究证明,银行特定因素(效率低下、盈利能力、资本比率和杠杆率)对信贷风险有显著贡献。此外,研究还发现宏观经济变量对不良贷款的影响显著。而在孟加拉国的情况下,结果预测矛盾在各个层面上对不良贷款没有显著影响。综合结果表明,信用风险不仅受到外部因素的影响,还受到管理不善、撇账等内部因素的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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