ارزیابی روند اتصال بین بازارهای قراردادهای آتی نفت جهانی و تأثیر آن بر بازار ارز نارسمی و سکه طلا در ایران
عبدالرسول افراسیابی
1
(
دانشگاه آزاد اسلامی، واحد مرودشت، مرودشت، ایران
)
سید نعمت الله موسوی
2
(
استاد گروه اقتصاد، واحد مرودشت، دانشگاه آزاد اسلامی، مرودشت، ایران.
)
فاطمه زندی
3
(
استادیار گروه اقتصاد، واحد تهران جنوب، دانشگاه آزاد اسلامی، تهران، ایران.
)
کلید واژه: اتصال بازارها, انتقال نوسان, خودرگرسیون برداری, خودرگرسیون بیزین.,
چکیده مقاله :
هدف مطالعة حاضر، ارزیابی روند اتصال بین بازارهای قراردادهای آتی نفت جهانی و تأثیر آن بر بازار ارز نارسمی و سکه طلا در ایران میباشد. مطالعة حاضر از نظر هدف، کاربردی و به لحاظ ماهیت دادهها از نوع کمی میباشد که با روش گردآوری اسناد صورت پذیرفته است. جامعة آماری پژوهش نیز شامل دادههای روزانه نرخ ارز در بازار ارز نارسمی و قیمت سکه طلای بهار آزادی روزانه در بازار تهران است. برای تجزیه و تحلیل دادهها از روش رگرسیون مارکوف سوئیچینگ استفاده شده است. برای این منظور دادههای روزانه بازارهای تهران برای دوره 1397- 1400 گردآوری و با استفاده از رگرسیون BTVC-VAR یا تخمین بیزین VAR با پارامترهای متغیر در طی زمان، تجزیه و تحلیل شد. یافتههای پژوهش نشان داد که بین این سه بازار اتصال وجود دارد و نوسان از بازار جهانی آتیهای نفت خام به بازارهای داخلی دلار نارسمی و سکه طلا منتقل میشود. البته این انتقال نوسان بسیار مقطعی و موقتی است و در کوتاهمدت میرا میشود. افزون بر این، شاخص دیبولد-ییلماز نیز دال بر ماهیت نوسانی اتصال بین این بازارها بود به طوری که در بلندمدت، در برخی مقاطع، اتصال ضعیف و در برخی از مواقع اتصال قوی است.
چکیده انگلیسی :
The aim of the current research is to examine the connection between the global crude oil futures market and the domestic markets of the crude oil dollar and gold coins. The current research is practical in terms of purpose and quantitative in terms of the nature of the data, which was carried out by the method of collecting documents. The statistical population of the research includes the daily exchange rate data in the informal currency market and the daily price of Bahar Azadi gold coins in the Tehran market. Markov switching regression method has been used for data analysis. For this purpose, the daily data of Tehran markets for the period 2018-2020 were collected and analyzed using BTVC-VAR regression or Bayesian VAR estimation with time-varying parameters. The findings of the research showed that there is a connection between these three markets and the volatility is transferred from the global market of crude oil futures to the domestic markets of crude oil and gold coins. Of course, this transfer of fluctuations is very intermittent and temporary and will be dampened in the short term. In addition, the Diebold-Yilmaz index also indicated the fluctuating nature of the connection between these markets, so that in the long term, at some points, the connection is weak and at other times the connection is strong.
رضا قلیزاده، مهدیه؛ طهرانچیان، امیر منصور و علیزاده نقارچی، فاطمه. (1402). «بررسی اثرات نامتقارن عدم اطمینان قیمت نفت بر سرمایهگذاری شرکتها». پژوهشنامه اقتصاد کلان، 18(40)، 41-67.
رضی کاظمی، صغری؛ رهنمای رودپشتی، فریدون؛ زمردیان، غلامرضا و چیرانی، ابراهیم. (1402). «تبیین شوکها و نوسانات بازار ارز و نحوه انتقال این شوک ها به سایر بازارها». دانش سرمایهگذاری، 12(46)، 485-504.
مجردی، مهناز؛ نیکوقدم، مسعود و الیاس پور، بهنام. (1403). «بررسی اثر نوسانات قیمت نفت و نااطمینانی سیاست اقتصادی بر بازده سهام در ایران». اقتصاد پولی مالی، 30(3)، 1-23.
محمدی، تیمور؛ قاسمی، عبدالرسول؛ تکلیف، عاطفه و صادقین، علی. (1400). «تحلیل نوسانات دائمی و موقت قیمت نفت برنت و صنایع وابسته به آن با بازارهای طلا و ارز : کاربردی از رویکرد شبکه». اقتصاد مالی، 15(56)، 89-116.
References
AlGhazali, A., Belghouthi, H., Mensi, W., Mclver, R., & Hoon Kang, S. (2024). Oil price shocks, sustainability index, and green bond market spillovers and connectedness during bear and bull market conditions. Journal of Economic Analysis and Policy, (84), 1470-1489. https://doi.org/10.1016/j.eap.2024.10.016
Banerjee, A., Akhtaruzzaman, M., & Sensoy, A. (2024). Volatility spillovers and hedging strategies between impact investing and agricultural commodities. International Review of Financial Analysis, (94), 266-285. https://doi.org/10.1016/j.irfa.2024.103237
Baur, D., & Todorova, N. (2023). The role of institutional quality in the relationship between financial development and economic growth: Emerging markets and middle-income economies. Journal of Energy Economics, (125), 86-99. https://doi.org/10.1016/j.eneco.2023.106837
Bayraktar, Y., Ozyilmaz, A., Toprak, M., Firat Olgun, M., & Isik, I. (2023). The role of institutional quality in the relationship between financial development and economic growth: Emerging markets and middle-income economies. Journal of Borsa Istanbul Review, 23(6), 1303-1321. https://doi.org/10.1016/j.bir.2023.10.002
Bewaji, O. (2024). A computational model of bilateral credit limits in payment systems and other financial market infrastructures. Latin American Journal of Central Banking, 5(1), 39-54. https://doi.org/10.1016/j.latcb.2023.100115
Bilgili, F., Kassouri, Y., Kuskaya, S., Majok Garang, A. (2024). The dynamic nexus of oil price fluctuations and banking sector in China: A continuous wavelet analysis. Journal of Resources Policy, (88), 163-175. https://doi.org/10.1016/j.resourpol.2023.104449
Dhasmana, S., & Goel, S. (2023). The insidious hyperreality in financial markets: An integrative review with evidence from the Indian financial market. International Review of Financial Analysis, (90), 773-792. https://doi.org/10.1016/j.irfa.2023.102922
Delli Gatti, D., Gallegati, M., Palestrini, A., Tedeschi, G., & Vidal-Tomas, D. (2024). Market power, technical progress and financial fragility. Journal of Economic Behavior & Organization, (217), 435-452. https://doi.org/10.1016/j.jebo.2023.10.037
Diebold, F., & Yilmaz, K. (2023). On the past, present, and future of the Diebold–Yilmaz approach to dynamic network connectedness. Journal of Journal of Econometrics, (234), 115-120. https://doi.org/10.1016/j.jeconom.2023.01.021
Duan, K., Zhang, L., Urquhart, A., Yao, K., & Peng, L. (2024). Do clean and dirty cryptocurrencies connect financial assets differently? The perspective of market inefficiency. Journal of Research in International Business and Finance, (70), 53-69. https://doi.org/10.1016/j.ribaf.2024.102351
Fujiwara, K. (2023). Market structure and industry location in a footloose capital model. Journal of Research in Economics, 77(2), 275-283. https://doi.org/10.1016/j.rie.2022.11.001
Gong, J., Wang, J., Zhou, Y., Zhu, Y., Xie, C., & Foglia, M. (2023). Spreading of cross-market volatility information: Evidence from multiplex network analysis of volatility spillovers. Journal of International Financial Markets, Institutions and Money, (83), 1-17. https://doi.org/10.1016/j.intfin.2023.101733
Huang, M., Shao, W., & Wang, J. (2023). Correlations between the crude oil market and capital markets under the Russia–Ukraine conflict: A perspective of crude oil importing and exporting countries. Journal of Resources Policy, (80), 21-37. https://doi.org/10.1016/j.resourpol.2022.103233
Husain, A., Karim, S., & Sensoy, A. (2024). Financial fusion: Bridging Islamic and Green investments in the European stock market. International Review of Financial Analysis, (94), 630-645. https://doi.org/10.1016/j.irfa.2024.103341
Inam, U., & Liang, J. (2024). Analysis of crude oil and gold price volatility and their correlation during socio-economic crises. Journal of Resources Policy, (98), 1-16. https://doi.org/10.1016/j.resourpol.2024.105311
Insaidoo, M., Brafu-Insaidoo, W., Atta Peprah, J., & Cantah, W. (2024). The role of financial globalization in the long-run volatility between forex and stock markets during COVID-19: Evidence from Africa. Journal of Research in Globalization, (9), 152-171. https://doi.org/10.1016/j.resglo.2024.100242
Jatuporn, C. (2024). Assessing the impact of global oil prices on domestic price levels in Thailand: A nonlinear ARDL investigation. Journal of Energy Nexus, (14), 544-558. https://doi.org/10.1016/j.nexus.2024.100307
Karkowska, R., & Urjasz, S. (2024). Importance of geopolitical risk in volatility structure: New evidence from biofuels, crude oil, and grains commodity markets. Journal of Journal of Commodity Markets, (36), 278-296. https://doi.org/10.1016/j.jcomm.2024.100440
Karlsson, S., Mazur, S., & Nguyen, H. (2023). Vector auto regression models with skewness and heavy tails. Journal of Economic Dynamics and Control, (146), 15-32. https://doi.org/10.1016/j.jedc.2022.104580
Kliber, A., Let, B., & Rezac, P. (2024). Can a boost in oil prices suspend the evolution of the green transportation market? Relationships between green indices and Brent oil. Journal of Energy, (295), 129-144. https://doi.org/10.1016/j.energy.2024.131037
Koczar, M., Jareno, F., & Escribano, A. (2024). Dynamic linkages and contagion effects: Analyzing the linkages between crude oil prices, US market sector indices and energy markets. The North American Journal of Economics and Finance, (74), 506-522. https://doi.org/10.1016/j.najef.2024.102247
Li, X., Li, H., Ge, X., & Si, D. (2023). Capital market liberalization and systemic risk of non-financial firms: Evidence from Chinese Stock Connect scheme. Pacific-Basin Finance Journal, (82), 557-574. https://doi.org/10.1016/j.pacfin.2023.102190
Liu, Z., Hu, J., Zhang, S., & He, Z. (2024). Risk spillovers among oil, gold, stock, and foreign exchange markets: Evidence from G20 economies. The North American Journal of Economics and Finance, (74), 141-155. https://doi.org/10.1016/j.najef.2024.102249
Madotto, M., & Severino, F. (2023). Heterogeneous awareness in financial markets. Journal of Economic Behavior & Organization, (216), 26-41. https://doi.org/10.1016/j.jebo.2023.09.029
Mendoza, J., Ramos, C., Fuentealba, C., Yelpo, S., & Saavedra, E. (2024). Connectedness in the global banking market network: Implications for risk management and financial policy. International Review of Financial Analysis, (95), 474-488. https://doi.org/10.1016/j.irfa.2024.103470
Mohammadi, T., Ghasemi, A., Taklif, A., & Sadeghin, a. (2021). The analysis of permanent and temporary fluctuations of Brent Oil & Relative Industries Index with Gold, Currency Index: Network Approach. Journal of Financial Economics, 15(56), 89-116. [In Persian] https://doi.org/ 10.30495/fed.2021.687871
Mojaradi, M., Nikooghadam, M., & Elyaspour, B. (2024). Investigating the effect of oil price fluctuations and economic policy uncertainty on stock returns in Iran. Journal of Monetary & Financial Economics, 30(3), 1-23. [In Persian] https://doi.org/10.22067/mfe.2024.88640.1433
Prodromou, T., & Demirer, R. (2022). Oil price shocks and cost of capital: Does market liquidity play a role? Journal of Energy Economics, (115), 1-16. https://doi.org/10.1016/j.eneco.2022.106340
Razi Kazemi, S., Rahnamaye Roodposhti, F., Zomorrdian, G., & Chirani, E. (2023). Explaining the shocks and fluctuations of the currency market and how to transfer these shocks to other markets. Journal of Investment Knowledge, 12(46), 485-504. [In Persian]
Rezagholizadeh, M., Tehranchian, A., & Alizadeh Nagharchi, F. (2024). Investigating the Asymmetric Effects of Oil Price Uncertainty on Corporates Investment. Macroeconomics Research Letter, 18(40), 41-67. [In Persian] https://doi.org/10.22080/iejm.2024.26309.2015
Shakeel, M., Rabbani, M., Hawaldar, I., Chhabra, V., & Zaidi, F. (2023). Is there an intraday volatility spillover between exchange rate, gold and crude oil? Journal of Open Innovation: Technology, Market, and Complexity, 9(3), 824-836. https://doi.org/10.1016/j.joitmc.2023.100094
Singh, V., & Kumar, P. (2023). Beyond volatility: Systemic resilience and risk mitigation in interconnected commodity markets. Journal of Energy Economics, (140), 204-218. https://doi.org/10.1016/j.eneco.2024.107953
Southam, C., Jiang, J., Todd, J., & Tonkin, I. (2024). Impact of post-IPO investments on the long-term financial market performance of Japanese IPOs: A preregistered report. Pacific-Basin Finance Journal, (86), 1-21. https://doi.org/10.1016/j.pacfin.2024.102463
Szafranek, K., Rubaszek, M., & Salah Uddin, G. (2024). The role of uncertainty and sentiment for intraday volatility connectedness between oil and financial markets. Journal of Energy Economics, (137), 480-492. https://doi.org/10.1016/j.eneco.2024.107760
Xu, J., Guan, B., Lu, V., & Heravi, S. (2024). Macroeconomic shocks and volatility spillovers between stock, bond, gold and crude oil markets. Journal of Energy Economics, (136), 112-127. https://doi.org/10.1016/j.eneco.2024.107750
Zheng, J., Wen, B., Jiang, Y., Wang, X., & Shen, Y. (2023). Risk spillovers across geopolitical risk and global financial markets. Journal of Energy Economics, (127), 413-428. https://doi.org/10.1016/j.eneco.2023.107051