The effects of macroeconomic factors on the rate of return of securities
Bibliographic record
Abstract
This study aims to study the macroeconomic factors that affect the rate of return of securities in the transport and service category of the Stock Exchange of Thailand. The category comprises three groups: media services, tourism, hotel and recreation and transport and logistics. The study employs quarterly data from 2001 to 2019 estimated with the ARDL bounds testing approach. The results reveal that media services, tourism, hotel and recreation and transport and logistics groups in the tourism and service category were cointegrated with stock exchange volume (in thousands of shares), exchange rate, gold bullion price, interest rate and diesel oil price. This study also found the longterm equilibriums of the macroeconomic factors deviated from the short-run to long run for three groups. The gold bullion price factor is a major factor in determining the long run. This study suggests that the gold bullion price is an alternative indicator for investment. Investors in the transport and logistics group should focus on the exchange rate, the gold bullion price, the interest rate and the diesel oil price before investment. Investors should consider the level of the exchange rate before investing in the media service group in the Stock Exchange of Thailand while investors in the tourism, hotel and recreation group of the Stock Exchange of Thailand should be recognize the stock exchange volume.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".