Tax Haven Incorporation and the Cost of Capital*
Bibliographic record
Abstract
ABSTRACT Incorporating the firm's corporate parent in a tax haven is a major decision that receives significant attention from many stakeholders, yet certain implications of this corporate strategy remain unclear. While tax haven incorporation offers tax savings, it also imposes risks that are potentially costly and hence important to consider. We predict and find a higher cost of equity capital in firms with parent companies that are incorporated in tax havens but that are primarily based in nonhaven countries. We also predict and find that the observed cost of equity premium is more pronounced in firms with greater tax risk, firm‐level information risk, and country‐level legal risk. We also employ corporate inversions in a difference‐in‐differences test and again find a positive relation between tax haven parent incorporation and the cost of capital. Our findings imply that an increased cost of capital is a material cost of tax haven parent incorporation. We contribute to the literatures on valuation of tax haven use, tax and nontax costs of corporate tax strategies, corporate inversions, and the relation between taxes and the cost of capital. Our study provides evidence on the tax and nontax risks of a uniquely observable tax strategy (i.e., tax haven parent incorporation) that could factor into firms' decisions about whether to incorporate in a tax haven and policymakers' efforts to deter such activity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".