Prospective Empirical Study on the Determinants of Bitcoin Price Formation (Case Study on Morocco)
Bibliographic record
Abstract
Despite being illegal in Morocco, bitcoin has gained great popularity in Morocco. However, in recent months, the Moroccan monetary authorities have set up two commissions to deal with crypto assets. The purpose of these commissions was to monitor international financial trends (in particular crypto assets). The current work will put forward a prospective study on the determinants that forms the price of bitcoin in Morocco, provided that the Moroccan monetary authorities would decide the legalization of the use of crypto assets. In an ARDL approach, an econometric model is applied to variables that reflect, not only all the factors related to the traditional currency, but also to variables that reflect specific factors to bitcoin over an eight-years period. This prospective study has highlighted that the frequency of bitcoin search on Google Trend, the number of bitcoins in circulation and the exchange rate between the Dollar and the Moroccan Dirham represent the main indicators that explain the formation of the price of bitcoin in the national territory.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".