Table 6

Moderating regression analysis

Dependent variable: DLLP
Method: Least squares (NLS and ARMA)
Sample: 1 226
Included observations: 226
VariablePred. SignCoefficientStd. Errort-statisticProbRemarks
C −0.09760.0160−6.11620.0000 
EBTP+1.23990.22005.63570.0000Accepted
LDR−−0.05400.0208−2.59720.0100Accepted
BOPO+0.11130.01457.69420.0000Accepted
CG*EBTP−−0.42260.3730−1.13300.2585Rejected
CG*LDR+0.07990.03292.42380.0162Accepted
CG*BOPO−−0.06180.0264−2.34370.0200Accepted
CAR+0.01520.00941.61400.1080 
NIM+0.00030.00900.03520.9720 
SIZE+0.00040.00050.81860.4139 
R-squared0.7606Mean dependent var0.0011
Adjusted R-squared0.7506S.D. dependent var0.0160
SE of regression0.0080Akaike info criterion−6.7729
Sum squared residual0.0139Schwarz criterion−6.6216
Log likelihood775.3391Hannan–Quinn criteria−6.7118
F-statistic76.2377Durbin–Watson stat1.3661
Prob(F-statistic)0.0000    

Note(s): *Significant p-value < 0.05; EBTP: Pre-managed earnings; LDR: Liquidity; BOPO: Efficiency; CG: Governance Mechanisms; CAR: Capital Adequacy Ratio; NIM: Net Interest Margin; SIZE: Bank Size; prediction signs have a correlation with DLLP, if it is concluded in earnings quality has the opposite interpretation

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