Information content of dividends: a case of an emerging financial market
Bibliographic record
Abstract
Purpose – The purpose of this paper is to examine the signaling and free cash flow hypotheses of dividends in the context of an emerging financial market. Design/methodology/approach – The authors use fundamental financial information of Chinese companies listed in the Shenzhen and Shanghai stock exchanges. They examine the impact of cash dividend payments on future profitability of individual firms with and without controlling for non-linearity in their earnings to test the signaling hypothesis. They also determine the characteristics of dividend paying firms to examine the free cash flow hypothesis. Findings – It was found that while dividend increases by publicly listed Chinese firms are followed by increases in earnings in two subsequent years, such relationship does not exist in the case of dividend decreases. However, under the assumption of non-linearity of earnings, it was found that neither dividend increases nor dividend decreases convey any valuable information about future changes in earnings of Chinese firms. Further, it was found that firms with high cash holdings, large profitability and high managerial efficiency are likely to pay dividends. The authors therefore conclude that announcements of cash dividend payments do not signal future performance but indicate good governance practices of publicly traded firms in China. Originality/value – This evidence is critical for potential foreign investors in their portfolio investment decisions and for regulators in determining an efficient measure of corporate disclosure in China.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| 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".