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首页> 外文期刊>European Journal of Business and Management >Modeling the NPA of a Midsized Indian Nationalized Bank as a Function of Advances
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Modeling the NPA of a Midsized Indian Nationalized Bank as a Function of Advances

机译:基于预付款功能的中型印度国有银行的NPA建模

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Non-performing assets (NPA) occur in loans given by a bank or a financial institution where in the borrower defaults or delays interest and or principal payment. The management of NPAs therefore, is a very important part of credit management of banks and financial institutions in the Country. Currently NPA estimates in India are predominantly obtained from the figures published by the Reserve Bank of India (RBI). However it would be helpful for banks and financial institutions to have an estimate of the NPA as soon as loan amounts are disbursed. This study attempted to develop a predictive model for the NPA% at both the gross and net level from the advances made at a midsized Indian national bank. A strong correlation was observed between gross and net NPA% and the advances made suggesting that estimates of gross and net NPA can be made from advances. Linear and non linear models were fit to predict the NPA% from the amounts advanced. A non linear model linking both Gross and net NPA to advances provided the best curve fit and the least deviation from actual values. Thus by simply looking at advances an overall picture of the banks NPA level can be ascertained.
机译:不良资产(NPA)发生在银行或金融机构提供的贷款中,借款人拖欠或拖欠了利息和/或本金。因此,不良资产管理是该国银行和金融机构信贷管理中非常重要的部分。目前,印度的NPA估算主要来自印度储备银行(RBI)发布的数据。但是,一旦贷款额度支付,对银行和金融机构进行NPA估算将很有帮助。这项研究试图从中型印度国家银行取得的进展中,为总和净水平的NPA%建立一个预测模型。在总净NPA%和所取得的预付款之间观察到很强的相关性,表明可以从预付款中估算总净NPA和净NPA。线性和非线性模型适合于根据预付款金额预测NPA%。将毛额和净NPA都与预付款相关联的非线性模型可提供最佳曲线拟合,并且与实际值的偏差最小。因此,通过简单地查看预付款,可以确定银行NPA级别的总体情况。

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