Relationship between quarter report announcement and stock price: evidences from technology sector in Malaysia / Dina Fatina Mohd Fu'addin
Bibliographic record
Abstract
This study aspires to have conventional source of stock price volatility. This was conducted in order to produce a research paper of stock price volatility towards quarter report announcement. Specifically, this study is focusing on the companies that have highest market capitalization from technology sector which is Inari Ametron Berhad, Unisem M Berhad, Malaysian Pacific Industries Berhad, Vitrox Corporation Berhad, Globetronic Technology Berhad, GHL System Berhad, JCY International Berhad, JHM Consolidation Berhad, Elsoft Research Berhad and KESM Industries Berhad. All the company are listed in Bursa Malaysia. Mostly the chosen companies have highest market capitalization in that sector. Company that have highest market capitalization is Inari Ametron Berhad. Most of the chosen company get large market capitalization in duration five years from 2012 until 2016. In order to accomplish this research paper, the data must be collected from secondary sources. The main journal that researcher used as the main references is Impact of Firms' Performance on Stock Return: Evidence from Listed Companies of Ftse-100 Index London by Maryyam Anwaar in order to get the result. The journal was related with the quarter report announcement and stock prices. In this research, the independent variables included the revenue (REV), earning per share (EPS), return on equity (ROE), return on assets (ROA) and net income (NI). For dependent variable is stock price. The selected variables will be examined whether affect the stock price or not. Based in the finding of the study, the stock price can be exaggerated by the independent variables data.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| 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".