A study on the relationship between Malaysia outward foreign direct investment and U.S Dollar, Singapore Dollar and U.K Pound Sterling / Nik Dini Daziani Nik Derahman
Bibliographic record
Abstract
The study focuses on the relationship between me exchange rate (MYR/USO, MYR/SGD and MYR/E) with the Malaysia outflow foreign direct investment. The main purposes of this study Is to identify whether the independent variabIe. the exchange rate has a significant relationship with Malaysia outward foreign dired investment or not. The volatility of Malaysia outward foreign direct investmem from 1991 to 2006 has shown an unstable panem which inconsistently appreciated and sometimes depreciated. The secondary data collected for ‘his study consists of Malaysia outward foreign direct investment starting from the 1" quarter of 1991 to the 3’“ quarter of 2006. Meanwhile, the data for exchange rate is collected in monthly basis from year 1991 m 2006. However in order to standardize the data, it has been presented on quarterly basis. This study uses simple linear regression model to the data. Based on the analysis from simple linear regression, only MYR/USD and MYR/SGD have significant relationship which represents the Malaysia outward foreign direct investment, Meanwhile, UKI£ shows no significam rela‘ionship towards Malaysia outward foreign direct investment
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".