The impact of foreign exchange intervetion of CNB on international trade of Czech Republic
Bibliographic record
Abstract
The goal of this thesis is to analyze the impact of currency depreciation caused by foreing exchange intervention of Czech National Bank in November 2013 on international trade between Czech Republic and Germany. The volume of foreign trade of Czech Republic has been growing, but Czech Republic gradually loses commercial potential. The standart view of the impact of foreign exchange intervention is to stimulate export. But the theoretical concept called J-curve states that currency depreciation leads at first to the decrease of net export in the short run. To increase net export the Marshall-Lerner condition has to be met. The work verifies the hypothesis that after foreign exchange intervention the decrease of net export occurs before improving. Research uses cointegration analysis and Error correction model on the basis of quarter data from the first quarter of year 2005 to the second quarter of year 2014. The results confirms the concept of J-Curve in the bilateral trade of Czech Republic and Germany. In the first two quarters after foreign exchange intervention there is the decrease in net export. The Marshall-Lerner condition is met during the second quarter and the depreciation of the crown leads to the expected growth in net export.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".