Exotic hedging options in the foreign economic activity: comparative analysis
Bibliographic record
Abstract
The paper analyses the situation when Russian exporter receives his/her proceeds from abroad and wants to have them converted at the most favorable exchange rate in three month. There are some hedging options available to the exporter such as - a simple option (ordinary put) or a number of exotic forms including a barrier option, Asia one or a lookback option. The calculations of the option premiums made through mathematical models show that with a declining dollar exchange rate over the first quarter of 2003, an ordinary put premium was equal to zero, and therefore it was unlikely to be executed. A lookback option proved to be a single instrument allowing the opportunity to sell at the maximum possible exchange rate. The option was executed in the first quarter of 2003 because it was the same as initial one, and the exporter gained. In the first quarter of 2005, the dollar’s exchange rate varied more drastically because of the higher volatile exchange rate. Although the lookback put was profitable to the exporter, it would be more advisable for the exporter to use the barrier options. Which of four barrier options is being executed depends on whether the investor’s expectations coincide with the dynamics of the dollar’s exchange rate. The paper also describes the case where the investor’s expectations and the up-and-in put conditions coincide
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".