Title of article
Present a model determining the oil market transferability turmoil on the financial markets of the Iranian economy (Dynamic systems approach)
Author/Authors
Farhadi ، Ahmad Department of Financial Management - Islamic Azad University, Central Tehran Branch , Minouei ، Mehrzad Department of Financial Management - Islamic Azad University, Central Tehran Branch , Zomordian ، Gholamreza Department of Financial Management - Islamic Azad University, Central Tehran Branch
From page
191
To page
201
Abstract
A model for determining the oil market transferability turmoil on the financial markets of the Iranian economy using the dynamic systems approach. At first, data related to oil, gold, stock exchange and foreign exchange were extracted from statistics related to the World Bank, Central Bank and Statistics Center of Iran and were analyzed with statistical analysis and simulation software. Then the research model was constructed using simulation methods and system analysis and the results were analyzed. The oil market in supply and demand for price determination is based on global systemic behavior. this simulation has used the factors affecting oil supply, oil demand, the expectations that shape this supply and demand, as well as macro factors such as macroeconomic indicators of the US economy, sanctions on the oil sector in Iran, the rate of world industry development and the available knowledge on oil substitution. Hidden mechanisms are the main reason for some oil price behaviors. The results of the research have led to the forecast of oil prices in the baseline scenario until 2025. The presence of political problems due to the interconnectedness of parallel markets in Iran causes widespread fluctuations in the currency and gold sectors in the Iranian economy.
Keywords
Fluctuation Contagion , Oil Market , Financial Market , Dynamic Systems
Journal title
International Journal of Nonlinear Analysis and Applications
Journal title
International Journal of Nonlinear Analysis and Applications
Record number
2773840
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