Return predictability of the SESTEM using randomly trained data
| (1) | (2) | |
|---|---|---|
| SESTM | 0.034*** | 0.084*** |
| (16.249) | (3.758) | |
| US10 return | −0.047 | |
| (−0.247) | ||
| US30 return | 0.226 | |
| (1.042) | ||
| VIX return | −0.019 | |
| (−0.355) | ||
| Gold return | 1.592* | |
| (2.537) | ||
| S&P500 return | −0.130 | |
| (−0.211) | ||
| NASDAQ return | −0.153 | |
| (−0.327) | ||
| Dollar return | −0.502 | |
| (−1.305) | ||
| Gas return | −0.015 | |
| (−0.387) | ||
| EPU return | 0.641 | |
| (0.998) | ||
| PXE return | −0.019 | |
| (−0.030) | ||
| PXE volume | 0.000 | |
| (0.911) | ||
| Constant | −0.016*** | −0.123 |
| (−2.714) | (−1.430) | |
| Observations | 192 | 192 |
| Adjusted R2 | 0.028 | 0.558 |
| Year-month FE | Yes | Yes |
| (1) | (2) | |
|---|---|---|
| SESTM | 0.034*** | 0.084*** |
| (16.249) | (3.758) | |
| US10 return | −0.047 | |
| (−0.247) | ||
| US30 return | 0.226 | |
| (1.042) | ||
| VIX return | −0.019 | |
| (−0.355) | ||
| Gold return | 1.592* | |
| (2.537) | ||
| S&P500 return | −0.130 | |
| (−0.211) | ||
| NASDAQ return | −0.153 | |
| (−0.327) | ||
| Dollar return | −0.502 | |
| (−1.305) | ||
| Gas return | −0.015 | |
| (−0.387) | ||
| EPU return | 0.641 | |
| (0.998) | ||
| PXE return | −0.019 | |
| (−0.030) | ||
| PXE volume | 0.000 | |
| (0.911) | ||
| Constant | −0.016*** | −0.123 |
| (−2.714) | (−1.430) | |
| Observations | 192 | 192 |
| Adjusted | 0.028 | 0.558 |
| Year-month FE | Yes | Yes |
Note(s): This table presents the OLS regression results examining the impact of the SESTM on the crude oil returns using the SESTM scores from randomly selected training data. Column (1) provides the regression result for the sentiment scores calculated by the SESTM method. Column (2) presents the results obtained after including control variables. Variables are defined in Appendix. All regressions include year-month fixed effects. t-statistics are in parentheses. *, **, and *** denote significance at the 10, 5, and 1% level, respectively
Source(s): Authors’ own work
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