Table 6 In-sample Prediction RMSFE Based on Daily-frequency Weibo Sentiment Index Modeling.
Forecast Periods | Estimation Method | Beta | BetaNN | ExpAlmon | UMIDAS | StepF | Almon |
|---|---|---|---|---|---|---|---|
1 | Fixed- Window | 0.1011 | 0.0990 | 0.0771 | 0.0235* | 0.0597 | 0.1117 |
Rolling-Window | 0.0931 | 0.0916 | 0.0727 | 0.0330 | 0.0705 | 0.1091 | |
Recursive | 0.0933 | 0.0917 | 0.0728 | 0.0267 | 0.0690 | 0.1090 | |
2 | Fixed- Window | 0.0775 | 0.0611 | 0.0848 | 0.0171 | 0.1129 | 0.0823 |
Rolling- Window | 0.0741 | 0.0582 | 0.0805 | 0.0264 | 0.1091 | 0.0786 | |
Recursive | 0.0742 | 0.0579 | 0.0805 | 0.0158* | 0.1137 | 0.0786 | |
3 | Fixed- Window | 0.0757 | 0.0766 | 0.0844 | 0.0735 | 0.0486 | 0.0815 |
Rolling- Window | 0.0707 | 0.0714 | 0.0794 | 0.0617 | 0.0495 | 0.0769 | |
Recursive | 0.0708 | 0.0711 | 0.0794 | 0.0743 | 0.0470* | 0.0769 |