不良资产银行特定决定因素的阈值效应:在印度银行业的应用

IF 1.2 Q3 BUSINESS, FINANCE
Samaresh Bardhan, Rajesh Sharma, Vivek Mukherjee
{"title":"不良资产银行特定决定因素的阈值效应:在印度银行业的应用","authors":"Samaresh Bardhan, Rajesh Sharma, Vivek Mukherjee","doi":"10.1177/0972652719831546","DOIUrl":null,"url":null,"abstract":"The article investigates role of bank-specific factors on non-performing assets (NPAs) in Indian banking system in a panel threshold framework (Hansen, 1999, Journal of Econometrics, 93(2), 345–368), using an unbalanced panel of 82 scheduled commercial banks over the period of 1995–1996 to 2010–2011. We consider capital to risk-weighted assets ratio (CRAR) and credit growth as alternative threshold variables (and regime dependent) along with relevant bank-specific variables treated as regime independent. Findings reveal that CRAR exerts negative and significant impact on NPAs once it reaches a critical threshold. Possible implication is that banks extend less risky loans in a high CRAR regime than in low CRAR regime that helps reduce NPAs. With credit growth as threshold as well as regime dependent, we observe statistically significant non-linear effect of credit growth on NPAs. Beyond threshold, credit growth exerts significant negative effect on NPAs that may imply that banks extend good quality loans. However, we cannot rule out the possibility of evidence of ‘ever-greening hypothesis’ of bad debts in Indian banking, that is, banks just roll over previous bad debts into fresh performing loans. JEL Classification: G21, G28, C13, C33","PeriodicalId":44100,"journal":{"name":"Journal of Emerging Market Finance","volume":"18 1","pages":"S1 - S34"},"PeriodicalIF":1.2000,"publicationDate":"2019-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0972652719831546","citationCount":"6","resultStr":"{\"title\":\"Threshold Effect of Bank-specific Determinants of Non-performing Assets: An Application in Indian Banking\",\"authors\":\"Samaresh Bardhan, Rajesh Sharma, Vivek Mukherjee\",\"doi\":\"10.1177/0972652719831546\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article investigates role of bank-specific factors on non-performing assets (NPAs) in Indian banking system in a panel threshold framework (Hansen, 1999, Journal of Econometrics, 93(2), 345–368), using an unbalanced panel of 82 scheduled commercial banks over the period of 1995–1996 to 2010–2011. We consider capital to risk-weighted assets ratio (CRAR) and credit growth as alternative threshold variables (and regime dependent) along with relevant bank-specific variables treated as regime independent. Findings reveal that CRAR exerts negative and significant impact on NPAs once it reaches a critical threshold. Possible implication is that banks extend less risky loans in a high CRAR regime than in low CRAR regime that helps reduce NPAs. With credit growth as threshold as well as regime dependent, we observe statistically significant non-linear effect of credit growth on NPAs. Beyond threshold, credit growth exerts significant negative effect on NPAs that may imply that banks extend good quality loans. However, we cannot rule out the possibility of evidence of ‘ever-greening hypothesis’ of bad debts in Indian banking, that is, banks just roll over previous bad debts into fresh performing loans. JEL Classification: G21, G28, C13, C33\",\"PeriodicalId\":44100,\"journal\":{\"name\":\"Journal of Emerging Market Finance\",\"volume\":\"18 1\",\"pages\":\"S1 - S34\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2019-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/0972652719831546\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Emerging Market Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/0972652719831546\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Emerging Market Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/0972652719831546","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 6

摘要

本文在面板阈值框架中调查了印度银行系统中银行特定因素对不良资产的作用(Hansen,1999,Journal of Econometrics,93(2),345-368),使用了1995-1996年至2010-2011年期间82家计划商业银行的不平衡面板。我们将资本与风险加权资产比率(CRAR)和信贷增长视为替代阈值变量(和制度相关),并将相关银行特定变量视为制度独立变量。研究结果表明,一旦达到临界阈值,CRAR就会对NPA产生负面和显著的影响。可能的含义是,银行在高CRAR制度下发放的贷款风险比低CRAR制度低,这有助于减少不良贷款。在以信贷增长为阈值和制度依赖的情况下,我们观察到信贷增长对NPA的非线性影响具有统计学意义。超过阈值,信贷增长对不良贷款产生了显著的负面影响,这可能意味着银行提供了高质量的贷款。然而,我们不能排除印度银行业存在坏账“不断绿化假说”的可能性,即银行只是将以前的坏账展期为新的表现良好的贷款。JEL分类:G21、G28、C13、C33
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Threshold Effect of Bank-specific Determinants of Non-performing Assets: An Application in Indian Banking
The article investigates role of bank-specific factors on non-performing assets (NPAs) in Indian banking system in a panel threshold framework (Hansen, 1999, Journal of Econometrics, 93(2), 345–368), using an unbalanced panel of 82 scheduled commercial banks over the period of 1995–1996 to 2010–2011. We consider capital to risk-weighted assets ratio (CRAR) and credit growth as alternative threshold variables (and regime dependent) along with relevant bank-specific variables treated as regime independent. Findings reveal that CRAR exerts negative and significant impact on NPAs once it reaches a critical threshold. Possible implication is that banks extend less risky loans in a high CRAR regime than in low CRAR regime that helps reduce NPAs. With credit growth as threshold as well as regime dependent, we observe statistically significant non-linear effect of credit growth on NPAs. Beyond threshold, credit growth exerts significant negative effect on NPAs that may imply that banks extend good quality loans. However, we cannot rule out the possibility of evidence of ‘ever-greening hypothesis’ of bad debts in Indian banking, that is, banks just roll over previous bad debts into fresh performing loans. JEL Classification: G21, G28, C13, C33
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.80
自引率
33.30%
发文量
19
期刊介绍: The Journal of Emerging Market Finance is a forum for debate and discussion on the theory and practice of finance in emerging markets. While the emphasis is on articles that are of practical significance, the journal also covers theoretical and conceptual aspects relating to emerging financial markets. Peer-reviewed, the journal is equally useful to practitioners and to banking and investment companies as to scholars.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信