The impact of monetary policy on commercial bank lending in Malaysia: The investigation on agriculture, construction & manufacturing sectors
Bibliographic record
Abstract
The purpose of this dissertation is to investigate the impact of monetary policy on commercial bank lending in Malaysia from 1970-2000.This dissertation, is intended to answer two research questions: 1) Will a tightening of monetary policy in Malaysia affects commercial bank lending at the aggregate level? 2) Will a tightening of monetary policy in Malaysia affects commercial bank lending to agriculture, construction, and manufacturing sector? The objectives of this dissertation is to determine the impact of monetary policy tightening on commercial bank lending at aggregate level and sectoral level namely, agriculture, construction, and manufacturing loan.To achieve the objective, this dissertation employs the vector autoregression (VAR) technique.From the VAR analysis, the results suggested that a monetary policy tightening in Malaysia gives significant impact on commercial bank lending at both the aggregate level and sectoral level from 1970-2000.The results also suggest that a monetary policy tightening in Malaysia gives larger impact on agriculture loan during the period of 1970-1996, while during the period of 1970-2000 (including the period of financial crisis), a monetary policy tightening in Malaysia gives larger impact on construction loan.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".