信用风险与印度公共和私人银行绩效:一个小组方法

Champa Ramkrishna Parab, M. Patil
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引用次数: 5

摘要

该研究主要关注印度的信贷风险和公共和私人银行的表现,并使用了40家商业银行的面板数据,其中包括24家公共银行和16家私人银行,这些银行在研究期间在孟买证券交易所上市。本研究以各信用风险比率为自变量,以三个绩效指标为因变量,研究时间为2000-01 - 2015-16年,共16年。研究中使用的信用风险代理包括不良资产总额比率、贷款损失准备与总预收款之比、资本充足率、信贷存款比率、贷款损失准备与不良资产之比、贷款损失准备与资产之比和预收款之比。沉积物和粒度被用作控制变量。资产报酬率、股本报酬率和净息差已被用作业绩指标。随机效应模型的结果表明,贷款损失准备与研究中使用的三个绩效指标之间存在显著的正相关关系。信贷存款比率也在不同程度上显著,并对三个绩效指标均有正向影响。不良资产的贷款损失准备是显著的,并负向影响所有三个绩效指标。贷款损失对总资产的拨备对NIM和ROE两项绩效指标均有显著影响,并对其产生正向影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Credit Risk and Public and Private Banks' Performance in India: A Panel Approach
The study is mainly concerned with Credit Risk and Public and Private Banks’ Performance in India and uses panel data of 40 commercial banks, comprising of 24 public and 16 private banks which were listed on Bombay Stock Exchange during the study period. The study employs various credit risk ratios as independent variables and three performance indicators as dependent variables for a period of 16 years from 2000-01 to 2015-16. The proxy for credit risk used in the study include Gross Non Performing Asset ratio, Loan Loss Allowance to Total Advances, Capital Adequacy Ratio, Credit Deposit Ratio, Loan Loss Allowance to Non Performing Assets, Loan Loss Allowance to Assets, and Advances to Assets. Deposits and Size have been used as control variables. Return on Assets, Return on Equity and Net Interest Margin have been used as proxy for performance. The result of the Random Effect Model shows that there is positive and significant relationship between Loan Loss Allowance and all the three performance indicators used in the study. Credit Deposit ratio is also significant at varying level and positively influences all the three performance indicators. Loan loss Allowance to Non Performing Asset is significant and inversely influences all three performance indicators. Loan loss Allowance to Total Assets is significant for two performance indicators viz., NIM and ROE and positively influences the same.
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