Identifying and ranking financial market risks in Iran | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 194، دوره 13، شماره 2، مهر 2022، صفحه 2405-2412 اصل مقاله (860.32 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.24124.2675 | ||
| نویسندگان | ||
| Leila Mohammad Sadeghi؛ Hashem Zare* ؛ Mehrzad Ebrahimi؛ Abbas Amini Fard | ||
| Department of Economic, Faculty of Economic and Management, Shiraz Branch, Islamic Azad University, Shiraz, Iran | ||
| چکیده | ||
| Fluctuations in asset prices and the resulting uncertainty are one of the most important macroeconomic variables that affect different sectors of the economy in various ways. Therefore, this study is conducted to identify and rank financial market risks in Iran. This study was performed in two parts: qualitative and quantitative. The statistical population in the qualitative section includes the University of Professors in the field of economics in Iran, where $10$ people were selected as a statistical sample by available sampling. The statistical population in the quantitative section were professors and doctoral students in the field of economics. By random sampling method, $30$ people were selected. Data collection tools are the Delphi questionnaire and pairwise comparison questionnaire. Data analysis was performed by fuzzy Delphi and AHP methods. In the results of the qualitative section, 7 components including $4$ components for bad economic uncertainty and $3$ components for good economic uncertainty were identified. In the results of the quantitative section, stock index uncertainty with a weight of $0.391$ and inflation uncertainty with a weight of $0.276$ rank first and second in bad economic uncertainty. Also, economic growth uncertainty with a weight of $0.493$ and liberalization of financial markets with a weight of $0.311$ rank first and second in good economic uncertainty, respectively. | ||
| کلیدواژهها | ||
| financial market risks؛ fuzzy Delphi؛ AHP | ||
| مراجع | ||
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