Table 4

Real earnings management and stock price crash risk: the effect of monitoring

Model 1Model 2Model 3Model 4
VariablesNCSKEWt H2DUVOLt H2NCSKEWt H3DUVOLt H3
RM_SUMt1−0.067 (−0.50)0.079** (2.16)0.083*** (2.80)0.045*** (2.45)
ICA_Indext−1−0.009 (−0.97)0.000 (0.04)  
(ICA_Index*RM_SUM)t−10.020 (1.08)−0.035 (−0.92)  
INSTt−1  1.507*** (11.42)0.910*** (10.88)
(INST*RM_SUM)t−1  −0.379** (−2.10)−0.157 (−1.41)
DTURNt−10.010 (0.23)0.028 (1.08)0.037* (0.93)0.048* (1.84)
SIGMAt−11.546** (2.36)0.729* (1.78)1.069* (1.65)0.381*** (0.94)
RETt−1−0.003 (−0.04)0.026 (0.54)−0.030 (−0.39)0.005 (0.12)
SIZEt−10.009 (1.08)−0.006 (−1.24)−0.020** (−2.48)−0.024*** (−4.46)
MBt−10.032*** (6.11)0.017*** (5.69)0.013*** (3.01)0.009*** (2.96)***
LEVt−1−0.152*** (−3.15)−0.107*** (−3.48)−0.095** (−2.02)−0.070** (−2.33)
ROEt−10.282*** (3.59)0.168*** (3.53)0.132* (1.73)0.064 (1.36)
NOAt−10.008 (0.60)0.000 (0.05)−0.007 (−0.53)−0.010 (−1.07)
OPINIONt−10.024 (0.44)−0.005 (−0.15)0.041 (0.76)0.011*** (0.33)
ACCR0.406*** (2.83)0.206** (2.41)0.399*** (3.12)0.210*** (2.51)
Intercept−0.846*** (−3.96)−0.202 (−1.50)−0.255 (−1.27)0.126 (0.97)
YearYesYesYesYes
IndustryYesYesYesYes
N12,36512,36512,36512,365
Adjusted R20.0550.0590.0710.074
Model18.84***21.46***25.52***28.69***

Note(s):T statistics are reported in parentheses. ***, ** and * denote statistical significance at 1, 5 and 10%, respectively

Table 4 presents the effect of monitoring on the relationship between real earnings management and stock price crash risk. Models 1 and 3 use NCSKEW, and Models 2 and 4 use DUVOL as crash risk measures. Models 1 and 2 analyze the impact of adequate internal controls (ICA_Indext−1) on the association between real earnings management and stock price crash risk (H2) and Models 3 and 4 analyze the impact of the percentage of institutional ownership (INSTt−1) on the association between real earnings management and stock price crash risk (H3). All variables are defined in  Appendix 2. Year and industry dichotomous controls are included in all models

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