Influence of Economic Factors on Performance of Investment and Mudharabah Accounts in Maybank, Malaysia
Bibliographic record
Abstract
This study examines relationship between investment and Mudharabah accounts in Maybank with economic factors. The data used are secondary data from various annual reports of Maybank from 1996 until 2007. The data are analyzed using Correlation and Multiple Regression analysis. The dependent variables studied are total investment and Mudharabh accounts and set of independent variables comprised of gross domestic product (GDP), unemployment rate (UER), income percapita (IPC) and consumer price index (CPI). The main objectives are to identify the relationship between the independent variables and to examine their influence on total deposits of investment and Mudharabah accounts. The results of Correlation showed that there is no relationship between all independent variables. The findings also proved that UER, GDP, IPC and CPI have significant relationships with investment and Mudharabah accounts. Finally, this study confirmed that UER is the most dominant factor that influenced both investment and Mudharabah accounts.
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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 | 0.000 | 0.002 |
| 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".