Relationship Between Concentrations of Foreign Trade and Financial Performance: An Application in Drug Sector in Turkey
Bibliographic record
Abstract
This study investigates possible connections between two performance ends -foreign trade and financial performance -of a leading drug company in Turkey within January 2014-December 2018 period. A unique approach is that these two are not under the spotlights directly, in other words, their financial figures are not under consideration. Instead, the primary goal is to calculate each performance end's concentration index values. Put other way, this study primarily seeks to explore the extent, to which the company is able to keep its outcomes of foreign trade and financial activities steady. The main and secondary aim, in this case, is to scrutinize if and how foreign trade concentration (steadiness) is a descriptor of financial performance concentration. Due to foreign trade being an important factor of business financial performance, it is also expected that the trade's extent of steadiness should also be a determinant of the financial performance stability. For the analysis, foreign trade and real operating profits' data on a quarter-basis that belong to 2014 January-2018 December period are collected. After concentration calculations of the trade and financial performance using Hirschman-Herfindahl Index (HHI) are made, analyses reveal that there are indeed some similarities and differences between the concentration index values of foreign trade and financial performance. It is, however, not much possible to state that foreign trade concentration is able to affect concentrated financial performance.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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".