Interdependencies of quarter report announcement in stock price volatility: comparative analysis of construction industries/ Mohamed Farhan Mohamed Firdaus
Bibliographic record
Abstract
This paper is study of the effect of quarter announcement result to the stock price of 10 listed companies in construction sector in Bursa Malaysia beginning period of 2010 until 2016. Past study have shown some of the quarter announcement does have its significant effects towards the stock price and some of the study found there is no correlation between quarter result and stock price. Most of the researches focus on determining the movement of the stock price by examining pre and post of quarter report. This study has come out with different ways of study. This study focus on the financial elements contains in the quarter announcement result. The elements such revenue, net profits, earning per share, net tangible asset and return on equity are selected in order to pursue two research objectives which is to identify whether the elements selected do have relationship with the stock price and which of the element affect most to the stock price. Investors may rely on several ways in making their investment decision such technical analysis, fundamental analysis, news and quarter report which contains all updated information about the company.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".