2022
DOI: 10.1108/jfrc-02-2022-0018
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Investigating the disclosure compliance of Basel III in emerging markets: a comparative study between UAE and Indian banks

Abstract: Purpose This study aims at investigating banks’ compliance with the disclosure requirements of Basel III in two emerging market economies, namely, the United Arab Emirates (UAE) and India. This study also examines the impact of economic factors on the extent of disclosures. Design/methodology/approach The authors compare the Basel disclosure practices between UAE and Indian listed banks and have used panel data regression models to investigate the compliance and level of reporting based on three market varia… Show more

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Cited by 11 publications
(9 citation statements)
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“…Our first hypothesis (H1) states that firms prefer revenue misclassification over expense misclassification to avoid violation of debt covenants. Following many prior studies under the Indian institutional settings (for instance, Ali and Bansal, 2021; Bashir et al ., 2021; Thomas et al ., 2022), we have employed balanced panel data to test the conjectures related to earnings management practices of Indian firms. The following Models 3 and 4 have used employed balanced panel data to test H1.where UE_OR is unexpected operating revenue measured as residuals from the model (1), NOR is non-operating revenue and Slack is our test variable that is equal to one for firms with tight interest coverage covenant slack, and zero otherwise.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Our first hypothesis (H1) states that firms prefer revenue misclassification over expense misclassification to avoid violation of debt covenants. Following many prior studies under the Indian institutional settings (for instance, Ali and Bansal, 2021; Bashir et al ., 2021; Thomas et al ., 2022), we have employed balanced panel data to test the conjectures related to earnings management practices of Indian firms. The following Models 3 and 4 have used employed balanced panel data to test H1.where UE_OR is unexpected operating revenue measured as residuals from the model (1), NOR is non-operating revenue and Slack is our test variable that is equal to one for firms with tight interest coverage covenant slack, and zero otherwise.…”
Section: Methodsmentioning
confidence: 99%
“…Our first hypothesis (H1) states that firms prefer revenue misclassification over expense misclassification to avoid violation of debt covenants. Following many prior studies under the Indian institutional settings (for instance, Ali and Bansal, 2021;Bashir et al, 2021;Thomas et al, 2022), we have employed balanced panel data to test the conjectures related to earnings management practices of Indian firms. The following Models 3 and 4 have used employed balanced panel data to test H1.…”
Section: Measurement Of Debt Covenantmentioning
confidence: 99%
“…Credit can be defined as the risk of potential loss to the bank if a borrower fails to meet its obligations (interest, principal amounts) (Thomas et al 2022 ; Elsiddig and Sara 2015 ). Credit risk is the single largest risk banks face (Apostolik et al 2009 ).…”
Section: Related Literature Workmentioning
confidence: 99%
“…Consistent with many prior studies under Indian institutional settings (for instance, Bansal, 2022aBansal, , 2023aBansal, , 2023bBansal et al, 2022Thomas et al, 2023;, we run Equations ( 1)-( 6) cross-sectionally for each industry year having a minimum of 15 observations per industry year. Two-digit Standard Industrial Classification code has been used to identify industry.…”
Section: Prior Studies and Hypotheses Developmentmentioning
confidence: 99%