Mechanism analysis based on stock price wealth sensitivity
| Variable | High managerial wealth sensitivity | Low managerial wealth sensitivity |
|---|---|---|
| AbTone | AbTone | |
| (1) | (2) | |
| ET | 1.6349** | 0.4508 |
| (2.254) | (0.575) | |
| Controls | Yes | Yes |
| Year FE | Yes | Yes |
| Industry FE | Yes | Yes |
| Constant | −0.2801 | −0.1880 |
| (−1.311) | (−0.834) | |
| Difference (p-value) | 1.1841 (0.009) | |
| Observations | 18,637 | 17,479 |
| Adjusted R2 | 0.0396 | 0.0340 |
| Variable | High managerial wealth sensitivity | Low managerial wealth sensitivity |
|---|---|---|
| (1) | (2) | |
| 1.6349** | 0.4508 | |
| (2.254) | (0.575) | |
| Yes | Yes | |
| Yes | Yes | |
| Yes | Yes | |
| −0.2801 | −0.1880 | |
| (−1.311) | (−0.834) | |
| 1.1841 (0.009) | ||
| 18,637 | 17,479 | |
| 0.0396 | 0.0340 | |
Note(s): The coefficient difference between groups is tested using the bootstrap method. AbTone represents abnormal positive tone, and ET denotes external blockholder exit threat. Standard errors are clustered by firm. t-statistics are reported in parentheses. All regressions include control variables, year-fixed effects and industry-fixed effects. The coefficient difference between groups is tested using the bootstrap method (based on 1,000 replications with clustered standard errors), as implemented by the bdiff command. ***, ** and * indicate significance at the 1%, 5% and 10% levels, respectively. Variable definitions are provided in Table 1
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