2011
DOI: 10.1016/j.jcorpfin.2011.06.003
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BE/ME and E/P work better than ME/BE or P/E in regressions

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Cited by 9 publications
(3 citation statements)
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“…Actually, as suggested by Musumeci and Peterson (2010), we use the BTM ratio rather than the MTB ratio, as the use of the former allows to reduce the potential presence of outliers, thus making the regression more significant.…”
Section: Methods and Modelmentioning
confidence: 99%
“…Actually, as suggested by Musumeci and Peterson (2010), we use the BTM ratio rather than the MTB ratio, as the use of the former allows to reduce the potential presence of outliers, thus making the regression more significant.…”
Section: Methods and Modelmentioning
confidence: 99%
“…Thus, including the number of voluntary ideation ties at t = 1 as a control allows us to compare the relative damage done to one's voluntary ideation networks, as we regress the value of this control variable against our dependent variable, the number of ideation ties (in-degree centrality) an individual employee maintains in the voluntary ideation network after downsizing. 1 Given the relative large number of zeros in our network-derived count variable we opt for the use of directly comparing both absolute values (pre and postdownsizing tie counts) instead of a ratio variable on this point, as regressing with ratio components of this type have been found to produce more outliers and a lower noise reduction, making the significance of other variables more difficult to detect (Lien, Hu, & Liu, 2017;Musumeci & Peterson, 2011). In-degree centrality, as a measure of the number of times that others report having a relation with someone, is regarded as more reliable than the self-reported out-degree measure and thus considered in this study as the indicator of the number of voluntary ideation ties pre and post downsizing (c.f.…”
Section: Control Variablesmentioning
confidence: 99%
“…Thus, the credit policy of banks is dynamic and depends on market conditions. Further, this paper offers empirical support for the growing body of nonlinear modelling in the finance literature (Abuzayed et al , 2018; Ammar and Boughrara, 2019; Brana et al ., 2019; Ngambou Djatche, 2019; Gambacorta and Rossi, 2010; Gambacorta et al ., 2014; Jiang et al ., 2019; Jiménez, Lopez and Saurina, 2013; Lien et al ., 2017; Martinez-Miera and Repullo, 2010; Musumeci and Peterson, 2011).…”
Section: Introductionmentioning
confidence: 99%