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Threshold effect of bank-specific determinants of non-performing assets: an application in Indian banking

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dc.contributor.author Bardhan, S.
dc.contributor.author Sharma, R.
dc.contributor.author Mukherjee, V.
dc.date.accessioned 2019-11-29T12:57:05Z
dc.date.available 2019-11-29T12:57:05Z
dc.date.issued 2019-11-29
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/1405
dc.description.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 unbal- anced 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 sig- nificant 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. en_US
dc.language.iso en_US en_US
dc.subject Banks en_US
dc.subject Non-performing assets en_US
dc.subject Threshold regression en_US
dc.subject Panel data models en_US
dc.title Threshold effect of bank-specific determinants of non-performing assets: an application in Indian banking en_US
dc.type Article en_US


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