Research Article
Two Different Points of View through Artificial Intelligence and Vector Autoregressive Models for Ex Post and Ex Ante Forecasting
Table 3
The results of variance decomposition.
| Period | S.E. | DGOLDPRICE | DBIST | DUSD |
| Variance decomposition of DGOLDPRICE | 1 | 2.326149 | 100.0000 | 0.000000 | 0.000000 | 2 | 2.418729 | 99.52846 | 0.337312 | 0.134227 | 3 | 2.426568 | 99.31653 | 0.455137 | 0.228337 | 4 | 2.431537 | 99.20369 | 0.481523 | 0.314782 | 5 | 2.431664 | 99.20029 | 0.481729 | 0.317978 | 6 | 2.431714 | 99.19671 | 0.483779 | 0.319516 | 7 | 2.431728 | 99.19564 | 0.484172 | 0.320188 | 8 | 2.431729 | 99.19562 | 0.484173 | 0.320207 | 9 | 2.431729 | 99.19561 | 0.484181 | 0.320211 | 10 | 2.431729 | 99.19560 | 0.484183 | 0.320213 |
| Variance decomposition of DBIST | 1 | 3907.536 | 14.89173 | 85.10827 | 0.000000 | 2 | 3958.518 | 14.65356 | 84.73305 | 0.613395 | 3 | 4007.277 | 16.04923 | 83.27992 | 0.670842 | 4 | 4015.353 | 16.37279 | 82.94525 | 0.681959 | 5 | 4015.574 | 16.37697 | 82.93850 | 0.684534 | 6 | 4015.730 | 16.37801 | 82.93413 | 0.687867 | 7 | 4015.753 | 16.37849 | 82.93319 | 0.688321 | 8 | 4015.755 | 16.37852 | 82.93316 | 0.688321 | 9 | 4015.756 | 16.37852 | 82.93315 | 0.688337 | 10 | 4015.756 | 16.37852 | 82.93314 | 0.688340 |
| Variance decomposition of DUSD | 1 | 0.055513 | 15.78019 | 14.56730 | 69.65252 | 2 | 0.059682 | 17.94952 | 15.26003 | 66.79045 | 3 | 0.059814 | 18.17990 | 15.27787 | 66.54223 | 4 | 0.060009 | 18.59504 | 15.27692 | 66.12804 | 5 | 0.060021 | 18.59939 | 15.29406 | 66.10655 | 6 | 0.060026 | 18.60796 | 15.29353 | 66.09851 | 7 | 0.060027 | 18.61097 | 15.29291 | 66.09612 | 8 | 0.060027 | 18.61101 | 15.29296 | 66.09603 | 9 | 0.060027 | 18.61101 | 15.29298 | 66.09601 | 10 | 0.060027 | 18.61102 | 15.29298 | 66.09600 |
| Cholesky ordering: DGOLDPRICE DBIST DUSD |
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