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APPENDIX
Appendix 1: List of commercial banks selected for research
|
STT |
Bank name |
Symbol |
Charter capital (billion VND) |
|
first |
Bank for Agriculture and Rural Development of Vietnam |
AGR |
29,605 |
|
2 |
Joint Stock Commercial Bank for Foreign Trade of Vietnam |
VCB |
35,978 |
|
3 |
Joint Stock Commercial Bank for Industry and Trade of Vietnam |
CTG |
37.234 |
|
4 |
Vietnam Prosperity Joint Stock Commercial Bank |
VPB |
15,706 |
|
5 |
Joint Stock Commercial Bank for Investment and Development of Vietnam |
BIDV |
34.187 |
|
6 |
Asia Commercial Joint Stock Bank |
ACB |
11.259 |
|
7 |
Vietnam Export Import Commercial Joint Stock Bank |
EIB |
12,355 |
|
8 |
Vietnam Maritime Commercial Joint Stock Bank |
MSB |
11,750 |
|
9 |
Vietnam Technological and Commercial Joint Stock Bank |
TCB |
34,966 |
|
ten |
Saigon Industrial and Commercial Joint Stock Bank |
SGB |
3.080 |
|
11 |
Orient Commercial Joint Stock Bank |
OCB |
5,000 won |
|
twelfth |
International Commercial Joint Stock Bank |
VIB |
5.644 |
|
13 |
Ho Chi Minh City Housing Development Commercial Joint Stock Bank |
HDB |
9,810 |
|
14 |
South Asia Commercial Joint Stock Bank |
NAB |
3.021 |
Maybe you are interested!
-
Ownership structure and business performance of Vietnamese commercial banks - 1 -
Ownership structure and business performance of Vietnamese commercial banks - 2 -
The Relationship Between Ownership Structure And Business Performance -
Descriptive Statistical Analysis Table 4.4: Sample Descriptive Statistical Results -
Ownership structure and business performance of Vietnamese commercial banks - 5
|
STT |
Bank name |
Symbol |
Charter capital (billion VND) |
|
15 |
Joint Stock Commercial Bank Southeast Asia Bank |
SeAB |
5.466 |
|
16 |
Joint Stock Commercial Bank An Binh Bank |
ABB |
5.319 |
|
17 |
Saigon Thuong Tin Commercial Joint Stock Bank |
STB |
18,853 |
|
18 |
Military Commercial Joint Stock Bank |
MBB |
18,155 |
|
19 |
National Commercial Joint Stock Bank |
NCB |
3.010 |
|
20 |
Petrolimex Petroleum Commercial Joint Stock Bank |
PG Bank |
3,000 won |
|
21 |
Saigon-Hanoi Commercial Joint Stock Bank |
SHB |
12,036 |
|
22 |
Lien Viet Post Commercial Joint Stock Bank |
LPB |
6,460 |
|
23 |
Joint Stock Commercial Bank Tien Phong Bank |
TPB |
6.718 |
|
24 |
Bao Viet Commercial Joint Stock Bank |
BVB |
3,500 |
|
25 |
Saigon Commercial Joint Stock Bank |
SCB |
14,295 |
|
26 |
Joint Stock Commercial Bank Bac A Bank |
BAB |
5.462 |
|
27 |
Indovina Bank Ltd |
INDO |
165 million won USD |
|
28 |
Public Bank Vietnam |
VID |
3,000 won |
|
29 |
Commercial Siam bank in Vietnam |
SIAM |
Thailand |
|
30 |
HSBC Bank (Vietnam) Ltd. |
HSBC |
7.528 |
Source: Author's compilation
Variable | Obs Mean Std. Dev. Min Max
-------------+------------------------------------------------------- --------------------
|
ROA |
| |
443 |
1.078758 |
1.168033 |
-9.378 |
7.5 |
|
GOE |
| |
443 |
13.56787 |
33.02558 |
0 |
100 |
|
FOE |
| |
443 |
14.32707 |
21,97428 |
0 |
100 |
|
IOE |
| |
443 |
39.51737 |
31.10862 |
0 |
97.45 |
|
INF |
| |
443 |
7.642957 |
5.437313 |
.6 |
19.9 |
-------------+------------------------------------------------------- --------------------
|
GDP |
| |
443 |
6.651129 |
1.05083 |
5.03 |
8.48 |
|
LOD |
| |
443 |
.9236995 |
.3083398 |
.0008071 |
2.432482 |
|
LOE |
| |
443 |
6.639658 |
15.58025 |
.0025763 |
252.0612 |
Source: Author collects, synthesizes, calculates on Stata 13 . software
Source | SS df MS Number of obs = 443
------------+--------------------------------------- F( 7, 435) = 7.12
Model | 62.0243093 7 8.86061561 Prob > F = 0.0000
Residual | 540,99662 435 1.24367039 R-squared = 0.1029
-------------+--------------------------------------- Adj R-squared = 0.0884
Total | 603.020929 442 1.36430074 Root MSE = 1.1152
--------------------------------------------------- ----------------------------
ROA | Coef. Std. Err. t
|t| [95% Conf. Interval]
-------------+------------------------------------------------ ----------------------------
|
GOE |
| |
-.0061361 |
.0022288 |
-2.75 |
0.006 |
-.0105168 |
-.0017555 |
|
FOE |
| |
-.0029135 |
.0030603 |
-0.95 |
0.342 |
-.0089283 |
.0031013 |
|
IOE |
| |
-.001461 |
.0024584 |
-0.59 |
0.553 |
-.0062927 |
.0033708 |
|
INF |
| |
.0441076 |
.0098771 |
4.47 |
0.000 |
.0246948 |
.0635203 |
|
GDP |
| |
.1957689 |
.0516128 |
3.79 |
0.000 |
.0943275 |
.2972103 |
|
LOD |
| |
-.2229768 |
.1783131 |
-1.25 |
0.212 |
-.5734392 |
.1274856 |
|
LOE |
| |
-.0055924 |
.0036078 |
-1.55 |
0.122 |
-.0126833 |
.0014986 |
|
_cons |
| |
-.1346136 |
.395774 |
-0.34 |
0.734 |
-.9124806 |
.6432535 |
--------------------------------------------------- ----------------------------
Source: Author collects, synthesizes and analyzes on Stata 13 . software
(obs=443)
| ROA GOE FOE IOE INF GDP LOD LOE
-------------+------------------------------------------------ ------------------------------------
|
ROA | |
1,000 yen |
|||||||
|
GOE | |
-0.1531 |
1,000 yen |
||||||
|
FOE | |
-0.0281 |
-0.1944 |
1,000 yen |
|||||
|
IOE | |
0.0905 |
-0.5059 |
-0.4010 |
1,000 yen |
||||
|
INF | |
0.2014 |
0.0141 |
-0.0453 |
0.0069 |
1,000 yen |
|||
|
GDP | |
0.1603 |
0.0439 |
-0.1126 |
0.0475 |
0.0186 |
1,000 yen |
||
|
LOD | |
-0.0066 |
-0.0158 |
-0.0057 |
-0.0345 |
0.1424 |
0.1611 |
1,000 yen |
|
|
LOE | |
-0.1113 |
0.2888 |
-0.0828 |
-0.1056 |
-0.0187 |
0.0926 |
0.1306 |
1,000 yen |
Source: Author collects, synthesizes, calculates on Stata 13 . software
Variable | VIF 1/VIF
-------------+----------------------------
|
IOE |
| |
2.08 |
0.481093 |
|
GOE |
| |
1.93 |
0.519309 |
|
FOE |
| |
1.61 |
0.622197 |
|
LOE |
| |
1.12 |
0.890522 |
|
LOD |
| |
1.07 |
0.930802 |
|
GDP |
| |
1.05 |
0.956541 |
|
INF |
| |
1.03 |
0.975567 |
-------------+----------------------------
Mean VIF | 1.41
Source: Author collects, synthesizes, calculates on Stata 13 . software
overall = 0.0826 max = 16
|
Wald chi2(7) |
= |
49.66 |
||
|
corr(u_i, X) |
= 0 (assumed) |
Prob > chi2 |
= |
0.0000 |
--------------------------------------------------- ----------------------------
ROA | Coef. Std. Err. z
|z| [95% Conf. Interval]
-------------+------------------------------------------------ ----------------------------
|
GOE |
| |
-.0077201 |
.0036628 |
-2.11 |
0.035 |
-.014899 |
-.0005412 |
|
FOE |
| |
-.0038417 |
.0044668 |
-0.86 |
0.390 |
-.0125965 |
.0049131 |
|
IOE |
| |
-.003261 |
.0036955 |
-0.88 |
0.378 |
-.0105041 |
.0039822 |
|
INF |
| |
.04065 |
.0091292 |
4.45 |
0.000 |
.0227572 |
.0585428 |
|
GDP |
| |
.1800536 |
.0485316 |
3.71 |
0.000 |
.0849334 |
.2751739 |
|
LOD |
| |
.3344323 |
.2032675 |
1.65 |
0.100 |
-.0639647 |
.7328293 |
|
LOE |
| |
-.0049379 |
.0034811 |
-1.42 |
0.156 |
-.0117607 |
.0018849 |
|
_cons |
| |
-.4124001 |
.4237042 |
-0.97 |
0.330 |
-1.242845 |
.4180448 |
-------------+------------------------------------------------ ----------------------------
|
sigma_u |
| |
.4406805 |
|
|
sigma_e |
| |
1.0072008 |
|
|
rho |
| |
.1606742 |
(fraction of variance due to u_i) |
Source: Author collects, synthesizes and analyzes on Stata 13 . software
|
max |
= |
16 |
|
|
F(7,406) |
= |
8.58 |
|
|
Prob > F |
= |
0.0000 |
overall = 0.0537
corr(u_i, Xb) = -0.7007
--------------------------------------------------- ----------------------------
ROA | Coef. Std. Err. t
|t| [95% Conf. Interval]
-------------+------------------------------------------------ ----------------------------
|
GOE |
| |
-.026821 |
.0143622 |
-1.87 |
0.063 |
-.0550545 |
.0014125 |
|
FOE |
| |
-.0140063 |
.0076788 |
-1.82 |
0.069 |
-.0291014 |
.0010889 |
|
IOE |
| |
-.0078057 |
.0059725 |
-1.31 |
0.192 |
-.0195467 |
.0039353 |
|
INF |
| |
.038087 |
.0090977 |
4.19 |
0.000 |
.0202025 |
.0559716 |
|
GDP |
| |
.1672888 |
.049977 |
3.35 |
0.001 |
.0690428 |
.2655348 |
|
LOD |
| |
.7090213 |
.2249466 |
3.15 |
0.002 |
.2668158 |
1.151227 |
|
LOE |
| |
-.0048847 |
.0034879 |
-1.40 |
0.162 |
-.0117413 |
.001972 |
|
_cons |
| |
-.0744557 |
.5335636 |
-0.14 |
0.889 |
-1.123348 |
.9744365 |
-------------+------------------------------------------------ ----------------------------
|
sigma_u |
| |
.87556927 |
|
|
sigma_e |
| |
1.0072008 |
|
|
rho |
| |
.43042633 |
(fraction of variance due to u_i) |
--------------------------------------------------- ----------------------------
F test that all u_i=0: F(29, 406) = 4.39 Prob > F = 0.0000
Source: Author collects, synthesizes and analyzes on Stata 13 . software
Appendix 8: Hausman test results
---- Coefficients ----
|
| |
(b) |
(B) |
(bB) |
sqrt(diag(V_b-V_B)) |
|
| |
FEM |
REM |
Difference |
SE |
-------------+------------------------------------------------ ----------------------------
|
GOE |
| |
-.026821 |
-.0077201 |
-.01191009 |
.0138873 |
|
FOE |
| |
-.0140063 |
-.0038417 |
-.0101646 |
.0062459 |
|
IOE |
| |
-.0078057 |
-.003261 |
-.0045447 |
.0046919 |
|
INF |
| |
.038087 |
.04065 |
-.002563 |
. |
|
GDP |
| |
.1672888 |
.1800536 |
-.0127648 |
.0119324 |
|
LOD |
| |
.7090213 |
.3344323 |
.374589 |
.0963499 |
|
LOE |
| |
-.0048847 |
-.0049379 |
.0000533 |
.0002187 |
--------------------------------------------------- ----------------------------
b = consistently under Ho and Ha; obtained from xtreg B = inconsistent under Ha, efficient under Ho; obtained from xtreg
Test: Ho: difference in coefficients not systematic chi2(7) = (bB)'[(V_b-V_B)^(-1)](bB)
= 27.88
Prob>chi2 = 0.0002
(V_b-V_B is not positive definite)
Source: Author collects, synthesizes and analyzes on Stata 13 . software
Appendix 9: Results of test of variance
Modified Wald test for groupwise heteroskedasticity in fixed effect regression model
H0: sigma(i)^2 = sigma^2 for all i chi2 (30) = 7283.41
Prob>chi2 = 0.0000
Source: Author collects, synthesizes and analyzes on Stata 13 . software
Appendix 10: Autocorrelation test results
Wooldridge test for autocorrelation in panel data H0: no first-order autocorrelation
F( 1.29) = 38,952
Prob > F = 0.0000
Source: Author collects, synthesizes and analyzes on Stata 13 . software
Appendix 11: Regression results by GLS method and handling of variable variance, autocorrelation treatment
Cross-sectional time-series FGLS regression Coefficients: generalized least squares Panels: heteroskedastic
Correlation: common AR(1) coefficient for all panels (0.4938)
Estimated covariances = 30 Number of obs = 443
Estimated autocorrelations = 1 Number of groups = 30
Estimated coefficients = 8 Obs per group: min = 7
avg = 14.76667
max = 16
Wald chi2(7) = 46.32
Prob > chi2 = 0.0000
--------------------------------------------------- ----------------------------
ROA | Coef. Std. Err. z
|z| [95% Conf. Interval]
-------------+------------------------------------------------ ----------------------------
|
GOE |
| |
-.0040306 |
.0014428 |
-2.79 |
0.005 |
-.0068585 |
-.0012028 |
|
FOE |
| |
.0064173 |
.002898 |
2.21 |
0.027 |
.0007374 |
.0120973 |
|
IOE |
| |
-.0011928 |
.0019061 |
-0.63 |
0.531 |
-.0049288 |
.0025431 |
|
INF |
| |
.0083881 |
.0044532 |
1.88 |
0.060 |
-.00034 |
.0171163 |
|
GDP |
| |
.0721791 |
.0274803 |
2.63 |
0.009 |
.0183188 |
.1260395 |
|
LOD |
| |
.2750988 |
.1293166 |
2.13 |
0.033 |
.021643 |
.5285546 |
|
LOE |
| |
-.0044765 |
.0029638 |
-1.51 |
0.131 |
-.0102853 |
.0013324 |
|
_cons |
| |
.3227337 |
.244498 |
1.32 |
0.187 |
-.15644737 |
.801941 |
--------------------------------------------------- ----------------------------
Source: Author collects, synthesizes and analyzes on Stata 13 . software
Appendix 12: Summary of regression results
--------------------------------------------------- --------------------------
Pooled REM FEM GLS
--------------------------------------------------- --------------------------
|
GOE |
-0.00614*** |
-0.0268* |
-0.00772** |
-0.00403*** |
|
[-2.75] |
[-1.87] |
[-2.11] |
[-2.79] |
|
|
FOE |
-0.00291 |
-0.0140* |
-0.00384 |
0.00642** |
|
[-0.95] |
[-1.82] |
[-0.86] |
[2.21] |
|
|
IOE |
-0.00146 |
-0.00781 |
-0.00326 |
-0.00119 |
|
[-0.59] |
[-1.31] |
[-0.88] |
[-0.63] |
|
|
INF |
0.0441*** |
0.0381*** |
0.0407*** |
0.00839* |
|
[4.47] |
[4.19] |
[4.45] |
[1.88] |
|
|
GDP |
0.196*** |
0.167*** |
0.180*** |
0.0722*** |
|
[3.79] |
[3.35] |
[3.71] |
[2.63] |
|
|
LOD |
-0.223 |
0.709*** |
0.334* |
0.275** |
|
[-1.25] |
[3.15] |
[1.65] |
[2.13] |
|
|
LOE |
-0.00559 |
-0.00488 |
-0.00494 |
-0.00448 |
|
[-1.55] |
[-1.40] |
[-1.42] |
[-1.51] |
|
|
_cons |
-0.135 |
-0.0745 |
-0.412 |
0.323 |
|
[-0.34] |
[-0.14] |
[-0.97] |
[1.32] |
|
|
--------------------------------------------------- -------------------------- |
||||
|
WOMEN |
443 |
443 |
443 |
443 |
|
R-sq |
0.103 |
0.129 |
||
--------------------------------------------------- --------------------------
t statistics in brackets
* p<0.1, **p<0.05, ***p<0.01
Source: Author collects, synthesizes and analyzes on Stata 13 . software
