2016
DOI: 10.1080/13504851.2016.1221036
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Capital structure and value of reported earnings: evidence from an emerging market

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Cited by 3 publications
(2 citation statements)
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“…Hence, many researchers have recommended exploring whether there is a complementary association between CS, CG, and firm performance [10,27,73]. This recommendation has arisen because CS as a third variable can be considered a discipline mechanism [30,31] and is thus expected to have a positive impact on the relationship between CG and firm performance [5,59,70,74,75]. Maranho and Leal [76] have suggested that a number of different moderators can help explain the relationship between CG and performance, and it has been postulated that CS is one of the most important e.g., Refs.…”
Section: Capital Structure As a Moderatormentioning
confidence: 99%
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“…Hence, many researchers have recommended exploring whether there is a complementary association between CS, CG, and firm performance [10,27,73]. This recommendation has arisen because CS as a third variable can be considered a discipline mechanism [30,31] and is thus expected to have a positive impact on the relationship between CG and firm performance [5,59,70,74,75]. Maranho and Leal [76] have suggested that a number of different moderators can help explain the relationship between CG and performance, and it has been postulated that CS is one of the most important e.g., Refs.…”
Section: Capital Structure As a Moderatormentioning
confidence: 99%
“…This implies that the interaction term has a significant marginal effect on both of the performance indicators of Jordanian non-financial listed firms in each of the models used. Thus, the CS becomes a complementary control mechanism, suggesting that the adoption of the CS as a monitoring mechanism increased the effectiveness of the CGI [75]. Moreover, it means that CS affects the relationship between CGI and future performance, implying its interaction adds incremental information content for explaining the variability of future firm performance.…”
Section: Multivariate Regression Analysesmentioning
confidence: 99%