A New Pricing Model for Crude Oil Pre-Sale Units via SPFO (Standard Parallel Forward with Options) in Iran
Bibliographic record
Abstract
Nowadays energy has an important role as a driving sector of economy. Forecasting 150 billion dollars investment in energy sector during the fifth development program in Iran, the banking and financial system require a dynamic and modern economy and financial instruments. Obviously, this approach needs to remove legal barriers and modification of contracts. Financing in the oil industry has faced with serious challenges in recent years. In addition, investing in common offshore oil and gas resources is indispensable. Accordingly we are going to design a new contract which is called Oil SPFO (Standard Parallel Forward security with two Options under betting condition), in order to raise funds needed. In this article we would investigate the SPFO for Iran Ministry of Petroleum (MOP)’s finance and present a model for pricing the oil SPFO based on Black and Scholes option pricing model. Finally, we have some recommendations to develop the oil SPFO and suggest that other researchers work on pricing the oil parallel forward securities according to this model.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".