Estimates results of multivariate GARCH-BEKK model
| Parameters | Coefficient | SE | t-statistics | Prob. |
|---|---|---|---|---|
| μ1 | 0.075345644 | 0.025824804 | 2.91757 | 0.00352772* |
| μ2 | 0.065833098 | 0.019543558 | 3.36853 | 0.00075570* |
| μ3 | 0.047470929 | 0.021133112 | 2.24628 | 0.02468595** |
| μ4 | 0.035911485 | 0.021459451 | 1.67346 | 0.09423721*** |
| μ5 | 0.004079988 | 0.015394922 | 0.26502 | 0.79099276 |
| c(1,1) | 0.229502448 | 0.031241093 | 7.34617 | 0.00000000* |
| c(2,1) | 0.109359747 | 0.024112911 | 4.53532 | 0.00000575* |
| c(2,2) | 0.206119394 | 0.011450294 | 18.00123 | 0.00000000* |
| c(3,1) | 0.140077111 | 0.028026987 | 4.99794 | 0.00000058* |
| c(3,2) | 0.130089156 | 0.025066447 | 5.18977 | 0.00000021* |
| c(3,3) | −0.050133447 | 0.021776303 | −2.30220 | 0.02132379* |
| c(4,1) | 0.128464659 | 0.024017483 | 5.34880 | 0.00000009* |
| c(4,2) | −0.060482306 | 0.030969161 | −1.95298 | 0.05082138** |
| c(4,3) | 0.100949177 | 0.045293567 | 2.22878 | 0.02582887** |
| c(4,4) | 0.091923995 | 0.033091132 | 2.77790 | 0.00547108* |
| c(5,1) | −0.046919150 | 0.010980810 | −4.27283 | 0.00001930* |
| c(5,2) | 0.023549815 | 0.012542412 | 1.87761 | 0.06043392** |
| c(5,3) | 0.000773416 | 0.016257004 | 0.04757 | 0.96205549 |
| c(5,4) | 0.051855647 | 0.014455978 | 3.58714 | 0.00033432* |
| c(5,5) | −0.001568240 | 0.029834503 | −0.05256 | 0.95807878 |
| a(1,1) | 0.044947848 | 0.020025045 | 2.24458 | 0.02479500** |
| a(1,2) | 0.065982223 | 0.015807728 | 4.17405 | 0.00002992* |
| a(1,3) | −0.047176780 | 0.016819316 | −2.80492 | 0.00503296* |
| a(1,4) | 0.085967928 | 0.015654973 | 5.49141 | 0.00000004* |
| a(1,5) | 0.031380032 | 0.009180966 | 3.41794 | 0.00063096* |
| a(2,1) | 0.038071641 | 0.015855790 | 2.40112 | 0.01634501** |
| a(2,2) | 0.129085538 | 0.013160646 | 9.80845 | 0.00000000* |
| a(2,3) | 0.165386250 | 0.012266274 | 13.48301 | 0.00000000* |
| a(2,4) | 0.039450365 | 0.019862573 | 1.98617 | 0.04701491** |
| a(2,5) | 0.014619467 | 0.009264733 | 1.57797 | 0.11457261 |
| a(3,1) | 0.169276863 | 0.016534583 | 10.23775 | 0.00000000* |
| a(3,2) | −0.046464943 | 0.016580751 | −2.80234 | 0.00507330* |
| a(3,3) | 0.117908448 | 0.014764519 | 7.98593 | 0.00000000* |
| a(3,4) | 0.087959104 | 0.018739165 | 4.69386 | 0.00000268* |
| a(3,5) | 0.008887421 | 0.010841846 | 0.81973 | 0.41236821 |
| a(4,1) | −0.211193576 | 0.014983040 | −14.09551 | 0.00000000* |
| a(4,2) | −0.129776856 | 0.011963119 | −10.84808 | 0.00000000* |
| a(4,3) | −0.154583318 | 0.012060675 | −12.81714 | 0.00000000* |
| a(4,4) | 0.272512838 | 0.016813667 | 16.20782 | 0.00000000* |
| a(4,5) | −0.053524886 | 0.008414304 | −6.36118 | 0.00000000* |
| a(5,1) | 0.050644088 | 0.014595182 | 3.46992 | 0.00052062* |
| a(5,2) | 0.027826194 | 0.009745112 | 2.85540 | 0.00429826* |
| a(5,3) | 0.015617580 | 0.013850870 | 1.12755 | 0.25950906 |
| a(5,4) | 0.061550069 | 0.017951891 | 3.42861 | 0.00060668* |
| a(5,5) | 0.259371223 | 0.012874033 | 20.14685 | 0.00000000* |
| b(1,1) | 0.967843326 | 0.008573333 | 112.88998 | 0.00000000* |
| b(1,2) | −0.026142173 | 0.007346966 | −3.55823 | 0.00037337* |
| b(1,3) | 0.069679133 | 0.008550430 | 8.14920 | 0.00000000* |
| b(1,4) | −0.057286191 | 0.013567246 | −4.22239 | 0.00002417* |
| b(1,5) | 0.009870473 | 0.004613127 | 2.13965 | 0.03238312** |
| b(2,1) | 0.057952646 | 0.014231100 | 4.07225 | 0.00004656* |
| b(2,2) | 0.922647933 | 0.008468068 | 108.95613 | 0.00000000* |
| b(2,3) | −0.130431483 | 0.009551626 | −13.65542 | 0.00000000* |
| b(2,4) | −0.027482205 | 0.013839375 | −1.98580 | 0.04705575** |
| b(2,5) | −0.008396569 | 0.005353815 | −1.56833 | 0.11680325 |
| b(3,1) | −0.137562846 | 0.011358234 | −12.11129 | 0.00000000* |
| b(3,2) | 0.044021149 | 0.009691062 | 4.54245 | 0.00000556* |
| b(3,3) | 0.954285332 | 0.007479993 | 127.57837 | 0.00000000* |
| b(3,4) | −0.002818504 | 0.010557215 | −0.26697 | 0.78948901 |
| b(3,5) | −0.019626351 | 0.004918574 | −3.99025 | 0.00006600* |
| b(4,1) | 0.111126812 | 0.013944281 | 7.96935 | 0.00000000* |
| b(4,2) | 0.086215454 | 0.007852146 | 10.97986 | 0.00000000* |
| b(4,3) | 0.081539408 | 0.009531739 | 8.55452 | 0.00000000* |
| b(4,4) | 0.936867536 | 0.004656983 | 201.17479 | 0.00000000* |
| b(4,5) | 0.022584372 | 0.004248512 | 5.31583 | 0.00000011* |
| b(5,1) | −0.004403585 | 0.009694522 | −0.45423 | 0.64966017 |
| b(5,2) | −0.004967523 | 0.007580649 | −0.65529 | 0.51228108 |
| b(5,3) | 0.030150342 | 0.008305727 | 3.63007 | 0.00028335* |
| b(5,4) | −0.015069785 | 0.008409466 | −1.79200 | 0.07313257** |
| b(5,5) | 0.961145014 | 0.004307193 | 223.14882 | 0.00000000* |
| Model diagnostics | ||||
| ARCH LM | 2,493.65 | 0.0008 | ||
| Parameters | Coefficient | SE | Prob. | |
|---|---|---|---|---|
| 0.075345644 | 0.025824804 | 2.91757 | 0.00352772* | |
| 0.065833098 | 0.019543558 | 3.36853 | 0.00075570* | |
| 0.047470929 | 0.021133112 | 2.24628 | 0.02468595** | |
| 0.035911485 | 0.021459451 | 1.67346 | 0.09423721*** | |
| 0.004079988 | 0.015394922 | 0.26502 | 0.79099276 | |
| 0.229502448 | 0.031241093 | 7.34617 | 0.00000000* | |
| 0.109359747 | 0.024112911 | 4.53532 | 0.00000575* | |
| 0.206119394 | 0.011450294 | 18.00123 | 0.00000000* | |
| 0.140077111 | 0.028026987 | 4.99794 | 0.00000058* | |
| 0.130089156 | 0.025066447 | 5.18977 | 0.00000021* | |
| −0.050133447 | 0.021776303 | −2.30220 | 0.02132379* | |
| 0.128464659 | 0.024017483 | 5.34880 | 0.00000009* | |
| −0.060482306 | 0.030969161 | −1.95298 | 0.05082138** | |
| 0.100949177 | 0.045293567 | 2.22878 | 0.02582887** | |
| 0.091923995 | 0.033091132 | 2.77790 | 0.00547108* | |
| −0.046919150 | 0.010980810 | −4.27283 | 0.00001930* | |
| 0.023549815 | 0.012542412 | 1.87761 | 0.06043392** | |
| 0.000773416 | 0.016257004 | 0.04757 | 0.96205549 | |
| 0.051855647 | 0.014455978 | 3.58714 | 0.00033432* | |
| −0.001568240 | 0.029834503 | −0.05256 | 0.95807878 | |
| 0.044947848 | 0.020025045 | 2.24458 | 0.02479500** | |
| 0.065982223 | 0.015807728 | 4.17405 | 0.00002992* | |
| −0.047176780 | 0.016819316 | −2.80492 | 0.00503296* | |
| 0.085967928 | 0.015654973 | 5.49141 | 0.00000004* | |
| 0.031380032 | 0.009180966 | 3.41794 | 0.00063096* | |
| 0.038071641 | 0.015855790 | 2.40112 | 0.01634501** | |
| 0.129085538 | 0.013160646 | 9.80845 | 0.00000000* | |
| 0.165386250 | 0.012266274 | 13.48301 | 0.00000000* | |
| 0.039450365 | 0.019862573 | 1.98617 | 0.04701491** | |
| 0.014619467 | 0.009264733 | 1.57797 | 0.11457261 | |
| 0.169276863 | 0.016534583 | 10.23775 | 0.00000000* | |
| −0.046464943 | 0.016580751 | −2.80234 | 0.00507330* | |
| 0.117908448 | 0.014764519 | 7.98593 | 0.00000000* | |
| 0.087959104 | 0.018739165 | 4.69386 | 0.00000268* | |
| 0.008887421 | 0.010841846 | 0.81973 | 0.41236821 | |
| −0.211193576 | 0.014983040 | −14.09551 | 0.00000000* | |
| −0.129776856 | 0.011963119 | −10.84808 | 0.00000000* | |
| −0.154583318 | 0.012060675 | −12.81714 | 0.00000000* | |
| 0.272512838 | 0.016813667 | 16.20782 | 0.00000000* | |
| −0.053524886 | 0.008414304 | −6.36118 | 0.00000000* | |
| 0.050644088 | 0.014595182 | 3.46992 | 0.00052062* | |
| 0.027826194 | 0.009745112 | 2.85540 | 0.00429826* | |
| 0.015617580 | 0.013850870 | 1.12755 | 0.25950906 | |
| 0.061550069 | 0.017951891 | 3.42861 | 0.00060668* | |
| 0.259371223 | 0.012874033 | 20.14685 | 0.00000000* | |
| 0.967843326 | 0.008573333 | 112.88998 | 0.00000000* | |
| −0.026142173 | 0.007346966 | −3.55823 | 0.00037337* | |
| 0.069679133 | 0.008550430 | 8.14920 | 0.00000000* | |
| −0.057286191 | 0.013567246 | −4.22239 | 0.00002417* | |
| 0.009870473 | 0.004613127 | 2.13965 | 0.03238312** | |
| 0.057952646 | 0.014231100 | 4.07225 | 0.00004656* | |
| 0.922647933 | 0.008468068 | 108.95613 | 0.00000000* | |
| −0.130431483 | 0.009551626 | −13.65542 | 0.00000000* | |
| −0.027482205 | 0.013839375 | −1.98580 | 0.04705575** | |
| −0.008396569 | 0.005353815 | −1.56833 | 0.11680325 | |
| −0.137562846 | 0.011358234 | −12.11129 | 0.00000000* | |
| 0.044021149 | 0.009691062 | 4.54245 | 0.00000556* | |
| 0.954285332 | 0.007479993 | 127.57837 | 0.00000000* | |
| −0.002818504 | 0.010557215 | −0.26697 | 0.78948901 | |
| −0.019626351 | 0.004918574 | −3.99025 | 0.00006600* | |
| 0.111126812 | 0.013944281 | 7.96935 | 0.00000000* | |
| 0.086215454 | 0.007852146 | 10.97986 | 0.00000000* | |
| 0.081539408 | 0.009531739 | 8.55452 | 0.00000000* | |
| 0.936867536 | 0.004656983 | 201.17479 | 0.00000000* | |
| 0.022584372 | 0.004248512 | 5.31583 | 0.00000011* | |
| −0.004403585 | 0.009694522 | −0.45423 | 0.64966017 | |
| −0.004967523 | 0.007580649 | −0.65529 | 0.51228108 | |
| 0.030150342 | 0.008305727 | 3.63007 | 0.00028335* | |
| −0.015069785 | 0.008409466 | −1.79200 | 0.07313257** | |
| 0.961145014 | 0.004307193 | 223.14882 | 0.00000000* | |
| ARCH LM | 2,493.65 | 0.0008 | ||
Notes: This table shows the estimates of the multivariate GARCH-BEKK model. 1, 2, 3, 4 and 5 denote, respectively, Hungary, Poland, Czech Republic, Romania and Croatia. The parameters cij, aij and bij are the off-diagonal elements of the matrices C, A and B, respectively, as presented in Section 2. *,**,***Significant at 1, 5 and 10 percent levels, respectively