Table 3.
Arellano–Bover/Blundell–Bond linear dynamic panel data estimation of corruption and risk on returns of stocks in BRIC countries.
VARIABLES | (1) |
(2) |
(3) |
(4) |
---|---|---|---|---|
Model 5 | Model 6 | Model 7 | Model 8 | |
L.SR | −0.0916∗∗ (0.0408) |
−0.0851∗∗ (0.0386) |
−0.0839∗∗ (0.0388) |
−0.0938∗∗ (0.0398) |
CORR | −0.0390 (0.0573) |
−0.0352 (0.0543) |
−0.0370 (0.0543) |
−0.0491 (0.0557) |
DA | 0.0234 (0.0425) |
0.0464 (0.0403) |
0.0456 (0.0404) |
0.0298 (0.0415) |
BQ | 0.0426∗∗ (0.0167) |
0.0362∗∗ (0.0158) |
0.0360∗∗ (0.0158) |
0.0386∗∗ (0.0162) |
LO | 0.0228∗∗ (0.0101) |
0.0179∗ (0.00957) |
0.0179∗ (0.00956) |
0.0202∗∗ (0.00980) |
PI | −0.00202 (0.0214) |
−4.21e-05 (0.0203) |
−0.000777 (0.0203) |
−0.00449 (0.0208) |
IP | 0.000204 (0.00306) |
2.81e-05 (0.00290) |
−3.31e-05 (0.00291) |
−0.00119 (0.00298) |
CORRDA | 0.00430 (0.00382) |
0.00459 (0.00362) |
0.00457 (0.00362) |
0.00501 (0.00372) |
CORRPI | 0.00216 (0.00680) |
0.000974 (0.00644) |
0.00121 (0.00645) |
0.00294 (0.00661) |
DAPI | 0.00128 (0.00398) |
−0.000452 (0.00377) |
−0.000508 (0.00377) |
0.000342 (0.00388) |
DASQ | −0.00592 (0.00392) |
−0.00749∗∗ (0.00372) |
−0.00736∗∗ (0.00373) |
−0.00611 (0.00382) |
EM | 0.202∗∗∗ (0.0251) |
0.201∗∗∗ (0.0251) |
||
GM | −0.101∗∗∗ (0.0340) |
−0.100∗∗∗ (0.0340) |
0.133∗∗∗ (0.0173) |
|
LEX | −0.0456∗ (0.0268) |
−0.00750 (0.0260) |
−0.00500 (0.0255) |
−0.0234 (0.0262) |
YP | 5.96e-06 (9.44e-06) |
|||
GYP | 0.000525 (0.000867) |
0.000611 (0.000889) |
||
EM | 0.202∗∗∗ (0.0251) |
0.201∗∗∗ (0.0251) |
||
GM | −0.101∗∗∗ (0.0340) |
−0.100∗∗∗ (0.0340) |
0.133∗∗∗ (0.0173) |
|
Constant | 0.101 (0.170) |
−0.167 (0.165) |
−0.141 (0.162) |
0.0107 (0.166) |
Observations | 884 | 884 | 884 | 884 |
Number of ID | 4 | 4 | 4 | 4 |
Note: Standard errors in parentheses; ∗∗∗p < 0.01, ∗∗p < 0.05, ∗p < 0.1.
Sargan test of over identifying restrictions; H0: over identifying restrictions are valid. PI denotes political instability and IP denotes investment profile, these variables are added as controls.