Factors Affecting NPAs in Indian Banking Sector

Nitya Garg
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Abstract

Banking sector is the backbone of any economy, so it is necessary to focus on its performance which is largely affected by its non-performing assets (NPAs). In the year 2018–2019, NPA of scheduled banks was Rs 355,076 Crore which is 3.7% of net advances. The purpose of this study is to identify the determinants based on analysis from previous literatures, and majorly macroeconomic and bank specific factors which are affecting NPAs using the relative weight analysis and to frame a model to predict future NPAs using multiple regression model using SPSS. The study also attempts to focus on actions and remedies that banks should make to control future NPAs. Findings of the study will act as a scaffolding for financial analysts and policymakers to prevent the conversion of its performing assets into NPAs and also help in proper management of banks and also in the recovery of economy.
影响印度银行业不良资产的因素
银行业是任何经济体的支柱,因此有必要关注其业绩,而其不良资产(NPAs)在很大程度上影响其业绩。在2018-2019年,定期银行的不良资产为355,076亿卢比,占净预付款的3.7%。本研究的目的是根据以往文献的分析,确定影响不良资产的决定因素,主要是宏观经济和银行特定因素,使用相对权重分析,并使用SPSS使用多元回归模型构建模型来预测未来的不良资产。研究报告还试图集中讨论银行为控制未来不良资产应采取的行动和补救措施。这项研究的结果将作为金融分析师和政策制定者的框架,以防止其绩效资产转化为不良资产,并有助于对银行的适当管理和经济复苏。
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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