The Impact of Qualified Opinions and Audit Firm’s Reputation on Enterprise Value in Vietnam
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study examines the impact of qualified opinions and audit firm reputation on firm value. Data were collected from 9,199 observations of listed companies on the Vietnam stock market during the period from 2016 to 2023, of which 1,472 observations included qualified audit reports, accounting for 16%. The study employed the GLS regression method. The results show that qualified opinions have a negative effect on firm value, while the reputation of audit firms has a positive effect on firm value. However, when considering the interaction between qualified opinion and audit firm reputation, it only impacts firm value when measured by stock prices, and the results are inconsistent when measuring firm value using market value and Tobin's Q. Based on the research findings, we propose several recommendations for users of audit reports and for auditors to assess the appropriateness of qualified opinion, as well as to enhance the quality of financial reports, thereby increasing firm value.
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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 | 0.000 |
| 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 | 0.000 |
| 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