An Appraisal and Forecasting of NPAs in Indian Banking Industry

N. C. Roy, N. Vamsi, N. Rao
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引用次数: 3

Abstract

This paper raises the issue of Non-performing Assets (NPA) which apart from being blocking the income generation in banks also generate losses to the banks. There are reasons like directive lending to few sectors, wilful defaults, lack of proper due diligence, inefficient legal policies, political pressure, adverse economic and market conditions, delay in disbursement of loan, inefficient recovery mechanisms which raise non-performing assets in Indian banking system. Among the banks in India, public sector banks have highest portion of non-performing assets that is more than 80%. In Public sector banks trend of gross non-performing assets ratio is increasing after 2009, whereas in private and foreign banks the trend is continuously decreasing. The NPAs’ trend is forecasted using time series analysis method where moving average, weighted moving average, exponential techniques and errors are computed. Private, public & foreign banks ratios are forecasted and some measures are suggested as proper credit monitoing, better KYC norms, and faster disbursement of loans with efficient due diligence, productive recovery mechanism, universal standards and policies which can be useful in improving the bank's performance in controlling NPAs.
印度银行业不良资产评估与预测
本文提出了不良资产问题,它不仅阻碍了银行的创收,也给银行带来了损失。原因包括向少数部门提供指令贷款,故意违约,缺乏适当的尽职调查,低效的法律政策,政治压力,不利的经济和市场条件,贷款支付延迟,低效的回收机制,这些都增加了印度银行体系的不良资产。在印度的银行中,公共部门银行的不良资产比例最高,超过80%。2009年以后,国有银行的不良资产比率呈上升趋势,而民营银行和外资银行的不良资产比率呈持续下降趋势。利用时间序列分析方法对npa趋势进行预测,其中移动平均线、加权移动平均线、指数技术和误差计算。对私营、公共和外资银行的比率进行了预测,并提出了一些措施,如适当的信贷监控、更好的KYC规范、通过有效的尽职调查更快地支付贷款、有效的回收机制、通用的标准和政策,这些措施有助于提高银行控制不良资产的绩效。
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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