Commercial Banks Performance and Causality Analysis

By:

Raina, Dalip

Contributor(s):

Sharma, Supran Kumar

Material type: Text

TextSubject(s):

In: BANIK, ARINDAM GLOBAL BUSINESS REVIEWSummary: The present study estimates technical efficiency (TE) by developing Translog stochastic frontier approach. The study also verifies causal relationship between efficiency and advances using panel Granger causality test. The study experienced an increasing trend in terms of level of efficiency. The public sector banks emerged relatively more efficient than other ownership groups. The study found that priority sector advances to total advances, marker share and non-performing assets to total assets are positively associated while loanable funds to total liabilities is negatively related with technical inefficiency. The study further confirmed the existence of positive and bilateral relationship between advances and TE score

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Item type	Current library	Call number	Vol info	Status	Notes	Date due	Barcode	Item holds
Journal Article	Main Library	Vol 20, No 3/ 55510583JA12 (Browse shelf(Opens below))		Available			55510583JA12
Journals and Periodicals	Main Library On Display	JP/GEN/Vol 20, No 3/55510583 (Browse shelf(Opens below))	Vol 20, No 3 (10/05/2019)	Not for loan	June, 2019		55510583

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The present study estimates technical efficiency (TE) by developing Translog stochastic frontier approach. The study also verifies causal relationship between efficiency and advances using panel Granger causality test. The study experienced an increasing trend in terms of level of efficiency. The public sector banks emerged relatively more efficient than other ownership groups. The study found that priority sector advances to total advances, marker share and non-performing assets to total assets are positively associated while loanable funds to total liabilities is negatively related with technical inefficiency. The study further confirmed the existence of positive and bilateral relationship between advances and TE score

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Commercial Banks Performance and Causality Analysis

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