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Bank-specific determinants of nonperforming assets of Indian banks

机译:特定于银行的印度银行不良资产的决定因素

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The paper examines the role of bank-specific variables in explaining the dynamics of non-performing assets (NPAs) of Indian banks in a panel data framework over the post liberalisation period, 1995-2011. The results have been derived after controlling for macroeconomic factors like real GDP, inflation, exchange rate etc. Applying several variants of Generalized Method of Moments (GMM) technique in dynamic models, we find that that there is significant time persistence of NPAs in Indian banking system. We also find that larger banks are more prone to default than smaller banks. We find support for the 'bad management hypothesis' as we observe that an increase in profit level of the banks reduces NPAs in the next period. Lagged capital adequacy ratio as an important prudential indicator also significantly reduces current NPAs of banks. The paper also draws some important policy implications about NPA management.
机译:本文研究了银行特定变量在解释自由化后1995-2011年面板数据框架中印度银行不良资产(NPA)动态中的作用。该结果是在控制了诸如实际GDP,通货膨胀,汇率等宏观经济因素之后得出的。在动态模型中应用广义矩技术(GMM)的几种变体,我们发现印度银行业的NPA具有显着的时间持久性系统。我们还发现,大型银行比小型银行更容易发生违约。我们发现“不良管理假说”得到了支持,因为我们观察到银行利润水平的提高会在下一个时期减少不良资产。滞后的资本充足率作为重要的审慎指标,也显着降低了当前银行的不良资产。本文还提出了有关NPA管理的一些重要政策含义。

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