overall = 0.4666 max = 53
F(6,43) = 67.19
corr(u_i, Xb) = -0.1497 Prob > F = 0.0000
(Std. Err. adjusted for 44 clusters in IDCode)
Coef. | Std. Err. | t | P>|t| | [95% Conf. Interval] | ||
ACCR | 0.3188267 | 0.118073 | 2.7 | 0.010 | 0.08071 | 0.556944 |
TAGR | 0.1277691 | 0.047396 | 2.7 | 0.010 | 0.032187 | 0.223351 |
D | -0.0523909 | 0.042692 | -1.23 | 0.226 | -0.13849 | 0.033705 |
NWC | 0.0491089 | 0.004177 | 11.76 | 0.000 | 0.040685 | 0.057533 |
lnTA | -0.0013519 | 0.00698 | -0.19 | 0.847 | -0.01543 | 0.012725 |
entropy | 0.0054392 | 0.022442 | 0.24 | 0.810 | -0.03982 | 0.050698 |
_cons | 0.0249831 | 0.096894 | 0.26 | 0.798 | -0.17042 | 0.220388 |
Có thể bạn quan tâm!
- Phát Triển Các Kênh Phân Phối Linh Hoạt, Đa Dạng
- Jackson, A. B., Plumlee, M. A. Và Rountree, B. R. (2017), ‘Decomposing The Market, Industry, And Firm Components Of Profitability: Implications For Forecasting’, Review Of Accounting
- Thủ Tướng Chính Phủ (2014), Quyết Định 879/qđ-Ttg Về Phê Duyệt Chiến Lược Phát Triển Công Nghiệp Việt Nam Đến Năm 2025, Tầm Nhìn Đến 2035, S.l.: S.n.
- Tác động của các nhân tố nội tại tới dự báo khả năng sinh lời của các doanh nghiệp chế biến thực phẩm niêm yết trên thị trường chứng khoán Việt Nam - 23
- Tác động của các nhân tố nội tại tới dự báo khả năng sinh lời của các doanh nghiệp chế biến thực phẩm niêm yết trên thị trường chứng khoán Việt Nam - 24
Xem toàn bộ 197 trang tài liệu này.
-------------+-------------------------------------------------------------
sigma_u | .0296402
sigma_e | .11632027
rho | .06097196 (fraction of variance due to u_i)
----------------------------------------------------------------------------
k = 1
xtreg F.ROE ROE ACCR TAGR D NWC lnTA entropy, fe vce(cluster IDCode) Fixed-effects (within) regression Number of obs = 1,682
Group variable: IDCode Number of groups = 44
R-sq: Obs per group:
within = 0.3545 min = 6
between = 0.1004 avg = 38.2
overall = 0.2429 max = 52
F(7,43) = 77.39
corr(u_i, Xb) = -0.4307 Prob > F = 0.0000
(Std. Err. adjusted for 44 clusters in IDCode)
Coef. | Std. Err. | t | P>|t| | [95% Conf. Interval] | ||
ROE | -0.69965 | 0.231387 | -3.02 | 0.004 | -1.16629 | -0.23302 |
ACCR | 0.033508 | 0.024925 | 1.34 | 0.186 | -0.01676 | 0.083773 |
TAGR | 0.05905 | 0.016609 | 3.56 | 0.001 | 0.025556 | 0.092545 |
D | -0.0373 | 0.054272 | -0.69 | 0.496 | -0.14675 | 0.072152 |
NWC | 0.032647 | 0.019003 | 1.72 | 0.093 | -0.00568 | 0.07097 |
lnTA | -0.02843 | 0.009959 | -2.85 | 0.007 | -0.04852 | -0.00835 |
entropy | -0.0922 | 0.1215 | -0.76 | 0.452 | -0.33723 | 0.15283 |
_cons | 0.446489 | 0.1413 | 3.16 | 0.003 | 0.161531 | 0.731448 |
-------------+-----------------------------------------------------------
sigma_u | .06639446
sigma_e | .13143526
rho | .20329904 (fraction of variance due to u_i)
-------------------------------------------------------------------------
k = 2
xtreg F2.ROE ROE ACCR TAGR D NWC lnTA entropy, fe vce(cluster IDCode) Fixed-effects (within) regression Number of obs = 1,637
Group variable: IDCode Number of groups = 44
R-sq: Obs per group:
within = 0.2350 min = 5
between = 0.1809 avg = 37.2
overall = 0.2240 max = 51
F(7,43) = 172.19
corr(u_i, Xb) = -0.1780 Prob > F = 0.0000
(Std. Err. adjusted for 44 clusters in IDCode)
Coef. | Std. Err. | t | P>|t| | [95% Conf. Interval] | ||
ROE | 0.356611 | 0.031549 | 11.3 | 0 | 0.292986 | 0.420235 |
0.003988 | 0.019457 | 0.2 | 0.839 | -0.03525 | 0.043228 | |
TAGR | 0.019881 | 0.038082 | 0.52 | 0.604 | -0.05692 | 0.096681 |
D | 0.03493 | 0.047773 | 0.73 | 0.469 | -0.06141 | 0.131273 |
NWC | 0.038742 | 0.006517 | 5.94 | 0.000 | 0.025599 | 0.051886 |
lnTA | -0.01483 | 0.005486 | -2.7 | 0.01 | -0.02589 | -0.00377 |
entropy | 0.042593 | 0.054912 | 0.78 | 0.442 | -0.06815 | 0.153334 |
_cons | 0.205243 | 0.073476 | 2.79 | 0.008 | 0.057063 | 0.353422 |
-------------+-------------------------------------------------------
sigma_u | .03109944
sigma_e | .1449093
rho | .04403081 (fraction of variance due to u_i)
----------------------------------------------------------------------
k = 3
xtreg F3.ROE ROE ACCR TAGR D NWC lnTA entropy, fe vce(cluster IDCode) Fixed-effects (within) regression Number of obs = 1,593
Group variable: IDCode Number of groups = 44
R-sq: Obs per group:
within = 0.0512 min = 4
between = 0.0606 avg = 36.2
overall = 0.0115 max = 50
F(7,43) = 3.90
corr(u_i, Xb) = -0.6993 Prob > F = 0.0023
(Std. Err. adjusted for 44 clusters in IDCode)
Coef. | Std. Err. | t | P>|t| | [95% Conf. Interval] | ||
ROE | -0.311 | 0.329633 | -0.94 | 0.351 | -0.97577 | 0.353768 |
ACCR | -0.0476 | 0.042925 | -1.11 | 0.274 | -0.13416 | 0.03897 |
TAGR | -0.06007 | 0.03768 | -1.59 | 0.118 | -0.13606 | 0.015919 |
0.018208 | 0.039537 | 0.46 | 0.647 | -0.06152 | 0.097941 | |
NWC | 0.039328 | 0.04805 | 0.82 | 0.418 | -0.05757 | 0.13623 |
lnTA | -0.02895 | 0.01191 | -2.43 | 0.019 | -0.05297 | -0.00494 |
entropy | -0.05661 | 0.053544 | -1.06 | 0.296 | -0.16459 | 0.051368 |
_cons | 0.43693 | 0.16348 | 2.67 | 0.011 | 0.107242 | 0.766619 |
-------------+--------------------------------------------------------
sigma_u | .06184075
sigma_e | .16321844
rho | .12553212 (fraction of variance due to u_i)
-----------------------------------------------------------------------
k = 4
xtreg F4.ROE ROE ACCR TAGR D NWC lnTA entropy, fe vce(cluster IDCode) Fixed-effects (within) regression Number of obs = 1,549
Group variable: IDCode Number of groups = 44
R-sq: Obs per group:
within = 0.0085 min = 3
between = 0.0000 avg = 35.2
overall = 0.0014 max = 49
F(7,43) = 6.01
corr(u_i, Xb) = -0.6555 Prob > F = 0.0001
(Std. Err. adjusted for 44 clusters in IDCode)
Coef. | Std. Err. | t | P>|t| | [95% Conf. Interval] | ||
ROE | -0.01928 | 0.063711 | -0.3 | 0.764 | -0.14777 | 0.109204 |
ACCR | 0.018879 | 0.03154 | 0.6 | 0.553 | -0.04473 | 0.082486 |
TAGR | -0.01786 | 0.016677 | -1.07 | 0.29 | -0.05149 | 0.015774 |
D | 0.104893 | 0.058 | 1.81 | 0.078 | -0.01208 | 0.221862 |
NWC | -0.02543 | 0.012609 | -2.02 | 0.05 | -0.05086 | -3.87E-06 |
-0.02159 | 0.008188 | -2.64 | 0.012 | -0.03811 | -0.00508 | |
entropy | 0.021513 | 0.023276 | 0.92 | 0.361 | -0.02543 | 0.068453 |
_cons | 0.332678 | 0.112387 | 2.96 | 0.005 | 0.106028 | 0.559329 |
-------------+-----------------------------------------------------------
sigma_u | .04330534
sigma_e | .1689151
rho | .06167368 (fraction of variance due to u_i)
-------------------------------------------------------------------------
PHỤ LỤC 2
Kết quả kiểm định các mô hình tác động dài hạn tới khả năng sinh lời.
B1. Mô hình ROA
ROAi,t+k = α + β’1×ROAi,t + β’2×ACCRi,t + β’3×TAGRi,t + β’4×Di,t + β’5×NWCi,t +
β’6×lnTAi,t + β’7×DIVi,t + uit
k = 1
Fixed-effects (within) regression Number of obs = 416
Group variable: IDCode Number of groups = 44
R-sq: Obs per group:
within = 0.2340 min = 3
between = 0.0009 avg = 9.5
overall = 0.0283 max = 13
F(19,43) = 22.14
corr(u_i, Xb) = -0.5442 Prob > F = 0.0000
(Std. Err. adjusted for 44 clusters in IDCode)
------------------------------------------------------------------------------
| Robust
ROA(t+1) | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
.0637778 | 2.05 | 0.046 | .0021243 | .2593645 | |
ACCR* | -.055225 | .0307763 | -1.79 | 0.080 | -.1172913 | .0068413 |
TAGR | -.0022586 | .0014122 | -1.60 | 0.117 | -.0051066 | .0005893 |
D*** | .0045415 .0011699 3.88 0.000 .0021822 .0069008
NWC** | .0637668 .027059 2.36 0.023 .0091973 .1183364
lnTA*** | -.0379715 .0126658 -3.00 0.005 -.0635145 -.0124285
Div*** | -.0006338 .0001145 -5.53 0.000 -.0008647 -.0004028
t |
| | .0119538 | .0303775 | 0.39 | 0.696 | -.0493082 | .0732157 | |
2006 | | | .0457228 | .0309056 | 1.48 | 0.146 | -.0166043 | .1080499 |
2007 | | | .0242624 | .0422089 | 0.57 | 0.568 | -.06086 | .1093849 |
2008 | | | .054545 | .0406692 | 1.34 | 0.187 | -.0274722 | .1365622 |
2009 | | | .0593995 | .0422471 | 1.41 | 0.167 | -.0257998 | .1445989 |
2010 | | | .0685791 | .0424169 | 1.62 | 0.113 | -.0169628 | .154121 |
2011 | | | .0320826 | .0414636 | 0.77 | 0.443 | -.0515367 | .1157019 |
2012 | | | .0227599 | .0455964 | 0.50 | 0.620 | -.069194 | .1147139 |
2013 | | | .035534 | .0423396 | 0.84 | 0.406 | -.049852 | .12092 |
2014 | | | .0696717 | .0449762 | 1.55 | 0.129 | -.0210313 | .1603748 |
.0479381 | .0461123 | 1.04 | 0.304 | -.0450562 | .1409324 | |
2016 | | .0488578 | .0466688 | 1.05 | 0.301 | -.0452589 | .1429745 |
_cons | | .5172814 | .1576004 | 3.28 | 0.002 | .19945 | .8351128 |
-------------+----------------------------------------------------------------
sigma_u | .08885061
sigma_e | .0643936
rho | .65563098 (fraction of variance due to u_i)
------------------------------------------------------------------------------
k = 2
Fixed-effects (within) regression Number of obs = 372
Group variable: IDCode Number of groups = 44
R-sq: Obs per group:
within = 0.1550 min = 2
between = 0.3994 avg = 8.5
overall = 0.0024 max = 12
F(18,43) = 36.67
corr(u_i, Xb) = -0.4204 Prob > F = 0.0000
(Std. Err. adjusted for 44 clusters in IDCode)
------------------------------------------------------------------------------
| Robust
ROA(t+2) | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
-1.72 0.093 -.2643863 .0209825 | ||
ACCR* | .0394552 .0199174 | 1.98 0.054 -.0007121 | .0796225 |
TAGR* | .001518 .0007923 | 1.92 0.062 -.0000799 | .0031158 |
D** | .0066335 .0031299 | 2.12 0.040 .0003215 | .0129455 |
NWC | .0348638 .0360583 | 0.97 0.339 -.0378548 | .1075824 |
lnTA | -.0068281 .0065726 | -1.04 0.305 -.020083 | .0064267 |
Div*| -.0001846 .0001032 -1.79 0.081 -.0003927 .0000234
t |
| | .0432553 | .0302266 | 1.43 | 0.160 | -.0177025 | .1042131 | |
2006 | | | -.0091702 | .0456572 | -0.20 | 0.842 | -.1012467 | .0829063 |
2007 | | | .0349735 | .0513718 | 0.68 | 0.500 | -.0686276 | .1385746 |
2008 | | | .0460968 | .0522917 | 0.88 | 0.383 | -.0593596 | .1515531 |
| | .0470624 | .051074 | 0.92 | 0.362 | -.0559382 | .150063 | |
2010 | | | .0006758 | .0508776 | 0.01 | 0.989 | -.1019287 | .1032803 |
2011 | | | -.010096 | .0523498 | -0.19 | 0.848 | -.1156695 | .0954775 |
2012 | | | .0013311 | .0511254 | 0.03 | 0.979 | -.1017731 | .1044353 |
2013 | | | .0230688 | .0510993 | 0.45 | 0.654 | -.0799826 | .1261203 |
2014 | | | .0006969 | .0510961 | 0.01 | 0.989 | -.1023481 | .1037419 |
2015 | | | | .0016412 | .050498 | 0.03 | 0.974 | -.1001977 | .1034802 |
_cons | | | .1482613 | .1032729 | 1.44 | 0.158 | -.0600083 | .3565309 |
-------------+----------------------------------------------------------------
sigma_u | .08084992
sigma_e | .06229174
rho | .62750583 (fraction of variance due to u_i)
------------------------------------------------------------------------------
k = 3
Number of obs = | 328 | |
Group variable: IDCode | Number of groups = | 44 |
R-sq: | Obs per group: | |
within = 0.1265 | min = | 1 |
between = 0.0175 | avg = | 7.5 |
overall = 0.0142 | max = | 11 |
corr(u_i, Xb) = -0.2011 | F(17,43) = 64.40 Prob > F = | 0.0000 |
(Std. Err. adjusted for 44 clusters in IDCode)
------------------------------------------------------------------------------
| Robust
ROA(t+3) | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
ROA | -.0058142 .0933591 -0.06 0.951 -.1940909 .1824624
ACCR*** | -.0337571 .0119426 -2.83 0.007 -.0578416 -.0096725
TAGR | -.0005946 .00084 -0.71 0.483 -.0022886 .0010995
D | .00259 .0034989 0.74 0.463 -.0044662 .0096461