Value Relevance of Accounting Information in the Botswana Listed Companies
Bibliographic record
Abstract
The main purpose of the study was to examine the statistical relationship between four sets of accounting information and market share prices using the data of companies listed on the Botswana Stock Exchange over the period from 2012 to 2018. Annual reports and Botswana Stock Exchange – Equity Statistics data bank were the sources of accounting information and market prices respectively. The Ordinary Least Square regression method was used to analyse data. The results suggest that earnings are the most value relevant information to share prices followed by dividends and lastly book value. While book value yielded weak value relevance operating cash flows did not explain changes in share prices in the Botswana equity market. The combination of earnings and dividends was more value relevant than any other mix of accounting amounts. The study further revealed that the market share price at the end of the 6th month from the year end was the most influenced price. These results have implications to quoted companies regarding the importance they attach on earnings and dividends information and their timely publication. The paper recommends for speedy dissemination of earnings and dividends information since investors significantly consider such information in market share pricing decisions.
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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 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| 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".