Did the Sarbanes-Oxley Act result in a strategic shift in M&A motives?
Bibliographic record
Abstract
Purpose The purpose of this paper is to examine whether or not the seminal legislation called the Sarbanes-Oxley Act (SOX) influenced a strategic shift in the merger and acquisition (M&A) market. Design/methodology/approach The sample consists of 4,839 completed deals undertaken by US acquirers from the Securities Data Corporation’s US M&As database from January 1, 1996 to December 31, 2009. The authors used the standard event study methodology for short-term performance analysis and the Berkovitch and Narayanan (1993) method to identify merger motives. Findings By following the same acquirers who participated during both pre- and post-SOX periods, the authors find that these acquirers generate 1-1.5 percent more returns for their stockholders around M&A announcement dates and that the motivation has shifted to value maximization (synergy), a notable strategic shift. Research limitations/implications All acquirers and targets are public. Originality/value This paper adds to SOX-related literature as well as to M&A literature. By analyzing M&A deals, often the largest capital investments for acquirers, this paper shows that, despite criticism of SOX, this legislation fundamentally contributed to a strategic shift in the M&A market.
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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 | 0.001 | 0.000 |
| 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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".