Analýza vývoje měnových kurzů (případ zemí exportujících a importujících suroviny)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This bachelor thesis´s objective is to analyze a possible relationship between exchange rates of selected countries and prices of commodities that these countries export. The thesis aims to describe this relationship and to quantify it. The selected countries are Canada, Japan, Norway, Australia, Zambia and Burundi. This thesis first describes theoretically the relationships between the exchange rates and fundamental quantities. The method of empirical analysis is described in the second part. Correlation and regression analysis is carried out and some problems that I have encountered during the econometric analysis are described as well. I study the aforementioned relationship on monthly data of nominal effective exchange rates from 2000 to 2015 in case of Canada, Japan, Australia and Norway. In case of Zambia and Burundi I study the relationship on yearly data of real effective exchange rates from 1980 to 2014. During my analysis I learned that these exchange rates really show some dependence on the commodity prices. The relationship is strongest in case of Norwegian Krone and oil prices. On the other hand the relationship is the weakest in case of Japanese Yen and oil prices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it