Alternative method to predict the break-even oil price for financial sustainability goals : evidence from Algeria under black-Scholes model
Joint Authors
Source
Revue de l'economie Industrielle
Issue
Vol. 12, Issue 2 (31 Dec. 2022), pp.1-23, 23 p.
Publisher
Publication Date
2022-12-31
Country of Publication
Algeria
No. of Pages
23
Main Subjects
Topics
Abstract EN
We aimed to sort-out an alternative method to predict the Break-even oil price using the benchmark model black-Sholes.
the investigation based on daily oil prices data covering the period of 02 / 01 / 2013 to 21 / 09 / 2020.
the main results highlighted a significant and strong correlation between the fiscal breakeven prices based on the black-Scholes model and the external breakeven price, with a weak correlation with the IMF's fiscal breakeven prices, which means that the black-Scholes model is outperforming to predict the fiscal oil prices in comparison with the IMF method.
the findings also indicated a negative correlation between the B-S and the reference prices indicated in Algeria's public budget
American Psychological Association (APA)
Bin Tuir, Nuaymah& Bin Dub, Ali. 2022. Alternative method to predict the break-even oil price for financial sustainability goals : evidence from Algeria under black-Scholes model. Revue de l'economie Industrielle،Vol. 12, no. 2, pp.1-23.
https://search.emarefa.net/detail/BIM-1468796
Modern Language Association (MLA)
Bin Tuir, Nuaymah& Bin Dub, Ali. Alternative method to predict the break-even oil price for financial sustainability goals : evidence from Algeria under black-Scholes model. Revue de l'economie Industrielle Vol. 12, no. 2 (Dec. 2022), pp.1-23.
https://search.emarefa.net/detail/BIM-1468796
American Medical Association (AMA)
Bin Tuir, Nuaymah& Bin Dub, Ali. Alternative method to predict the break-even oil price for financial sustainability goals : evidence from Algeria under black-Scholes model. Revue de l'economie Industrielle. 2022. Vol. 12, no. 2, pp.1-23.
https://search.emarefa.net/detail/BIM-1468796
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 21-23
Record ID
BIM-1468796