Revisiting M&M with Taxes: An Alternative Equilibrating Process
Why this work is in the frame
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Bibliographic record
Abstract
Modigliani and Miller present an equity-quantity shifting equilibrating process to achieve an optimal firm value in the presence of corporate taxes. However, in the era in which they derived their various propositions regarding the relation between a firm’s value and its capital structure, well-capitalized takeover specialists including private equity firms and sovereign funds did not exist, at least by today’s standards. In this paper we develop a simple arbitrage strategy, made viable by the presence of takeover firms, which presents an alternative equilibrating process to achieve the same optimal firm value. This alternative process is markedly different from that of the Modigliani and Miller theorem in terms of its predictions for debt use and restores the prospect of capital structure irrelevancy despite the existence of corporate taxes.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| 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 it