Shareholder perceptions of external tax advisors in corporate tax planning
Bibliographic record
Abstract
Abstract We examine shareholders' perceptions about how external tax advisors contribute to corporate tax planning. As residual claimants of corporate tax planning, shareholders benefit from lower corporate taxes, but also bear the financial and reputational costs of subsequent tax enforcement. Despite the influential advisory role of external tax advisors in corporate tax planning, existing research on how shareholders perceive this role is limited. Using event study methods and exploiting the heightened regulation of tax advice through the covered opinion rules as a setting, we observe average and cross‐sectional stock returns consistent with shareholders perceiving external tax advisors as contributing unfavorably to tax planning by promoting excessively risky strategies. We further find that risky and overall tax planning declined across firms after the enactment of the rules, consistent with shareholders' perceptions about tax advisors' contributions to firms' tax planning. Overall, our findings contribute to research on shareholder perceptions and valuation of tax planning, and have important implications for practice, where regulatory oversight of external tax advisors remains a significant concern.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".