ارزیابی روند اتصال بین بازارهای قراردادهای آتی نفت جهانی و تأثیر آن بر بازار ارز غیر رسمی و سکه طلا در ایران
محورهای موضوعی : فصلنامه اقتصاد محاسباتی
عبدالرسول افراسیابی
1
,
سید نعمت الله موسوی
2
*
,
فاطمه زندی
3
1 - دانشگاه آزاد اسلامی، واحد مرودشت، مرودشت، ایران
2 - استاد گروه اقتصاد، واحد مرودشت، دانشگاه آزاد اسلامی، مرودشت، ایران.
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.
Extended Abstract
Purpose
Crude oil future contracts become important both from the perspective of oil in the eyes of global financial activists and from the perspective of oil in the eyes of market supply and demand forces. This is why these contracts are considered as assets that play a prominent role in the connection between financial and even global commodity markets. The informal foreign exchange market in Iran is one of the most important means of reflecting the general vision of citizens about the future economic conditions of Iran, which shows itself in the form of increased demand for foreign exchange and jumps in the informal exchange rate. The importance of the informal foreign exchange market in Iran is that it is considered as a parallel and competitive market for the stock market, and if the connection between the oil futures market and the informal foreign exchange market is confirmed, the effects of the changes in that market can also be spread in the Iranian stock market. checked the gold coin trading market in Iran is also another parallel market for the stock and currency exchange, especially in inflationary conditions, people direct liquidity to this market to maintain their purchasing power, and hence, another unknown aspect of this research. What is the relationship between oil futures market, unofficial exchange rate and gold coin and whether contagion can be done among these three markets or not? In short, the main issue of the current research is whether there is a connection and contagion between the oil futures market, the informal currency market in Iran, and the gold coin market in Iran, in the period from 2018 to 2021?
Methodology
Vector Autoregression models become relevant when we are not sure which variables of the model are endogenous and which variables are exogenous, and there is no strong theoretical support for this division. Therefore, at first, all variables are included as endogenous in the model and the model is estimated as simultaneous equations; So that variables are a function of their current and past values and each other (Karlsson et al., 2023). This model is known as the VAR model or the SVAR model (structural VAR model), but in the analysis of the connection between markets, the variability of parameters over time is at the center of the model, and therefore, the TVP-VAR model is defined as follows:
Equation 1.
Finding
In a more detailed view, the changes of the coefficient related to the first break of ORT for the GRT equation become smaller and smaller over time and with an increasing and then decreasing slope, and there is an inverse relationship between the future yield of crude oil in the world market and the yield of daily gold coins in the Iranian market is evident. However, the trend of changes in the coefficients of the effect of the first interruption of ORT on DRT over time shows a different pattern from GRT, and despite the presence of a positive and consistent relationship in one part of the period, it reflects an inverse relationship in another period (first half of 2019), then again to the relationship becomes positive and aligned.But the comparison of the changes of the variable parameters related to the effect of the first to third ORT interruptions on GRT (blue, red and green lines respectively) shows that the parameters of the second and third interruptions are similar in terms of trends. But in relation to the changes of the variable parameters related to the effect of the first to third interval of ORT on DRT (blue, red and green lines respectively), it can be seen that the parameters related to the first to third interval have a different pattern and the effect of the second and third interval on futures returns Oil on the daily return of the Iranian dollar takes a relatively downward trend and a downward trend.
Conclusion
Risk management, especially contagion risk, is of great importance to both governments and the private sector. Risk management is important for governments from the point of view that the stability of macroeconomics, especially financial markets, depends on managing and dealing with risks that the private sector does not have the ability, facilities, or motivation to enter into the field of their management or to deal with them. It does not have enough power. The private sector also attaches importance to risk management in order to avoid huge losses caused by market fluctuations or by adopting a suitable strategy, in case of fluctuations or shocks in a market, it can compensate for the effects of losses in part of its assets. or cover Oil and currency are among the assets that are very important in Iran, for the public sector and the private sector. For the government, the price of oil is important in terms of its importance and weight in the country's general budget, and the exchange rate is also an indicator of stability or instability in the macro economy. For the private sector, the price of oil is important as an effective factor in setting the government budget, or the possibility of a budget deficit and its consequences for liquidity and inflation, and the exchange rate, although in economic theory, it can provide the basis for export development if it increases. Therefore, understanding the structure of these markets and their connection with global markets, including the important oil futures market, can help to understand more about their mechanism and fluctuations and provide the conditions for risk management in the eyes of the government and investors. From this point of view, the current research is applied research that focuses on the connection between global markets and domestic markets, focusing on the market related to the important variable of oil and its future contracts.
-Afshan, S., Yaqoob, T., Ben Zaied, Y., Mishra, S. and Mishra, S. (2023). Oil shocks and currency behavior: A dual approach to digital and traditional currencies. Global Finance Journal, 62(c), 147-163. Retrieved from https://doi.org/10.1016/j.gfj.2024.101002/
-AlGhazali, A., Belghouthi, H., Mensi, W., Mclver, R. and Hoon Kang, S. (2024). Oil price shocks, sustainability index, and green bond market spillovers and connectedness during bear and bull market conditions. Economic Analysis and Policy, 84, 1470-1489. Retrieved from https://doi.org/10.1016/j.eap.2024.10.016/
-Baur, D. and Todorova, N. (2023). The role of institutional quality in the relationship between financial development and economic growth: Emerging markets and middle-income economies. Energy Economics, 125, 86-99. Retrieved from https://doi.org/10.1016/j.eneco.2023.106837/
-Bayraktar, Y., Ozyilmaz, A., Toprak, M., Firat Olgun, M. and Isik, I. (2023). The role of institutional quality in the relationship between financial development and economic growth: Emerging markets and middle-income economies. Borsa Istanbul Review, 23(5), 1303-1321. Retrieved from 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.
Retrieved from https://doi.org/10.1016/j.latcb.2023.100115/
-Bilgili, F., Kassouri, Y., Kuskaya, S. and Majok Garang, A. (2024). The dynamic nexus of oil price fluctuations and banking sector in China: A continuous wavelet analysis. Resources Policy, 88(c), 163-175. Retrieved from https://doi.org/10.1016/j.resourpol.2023.104449/
-Dhasmana, S. and 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(c),773-792. Retrieved from https://doi.org/10.1016/j.irfa.2023.102922/
-Delli Gatti, D., Gallegati, M., Palestrini, A., Tedeschi, G. and Vidal-Tomas, D. (2024). Market power, technical progress and financial fragility. Journal of Economic Behavior & Organization, 217(c), 435-452. Retrieved from https://doi.org/10.1016/j.jebo.2023.10.037/
-Diebold, F. and Yilmaz, K. (2023). On the past, present, and future of the Diebold–Yilmaz approach to dynamic network connectedness. Journal of Econometrics, 234, 115-120.
Retrieved from https://doi.org/10.1016/j.jeconom.2023.01.021/
-Duan, K., Zhang, L., Urquhart, A., Yao, K. and Peng, L. (2024). Do clean and dirty cryptocurrencies connect financial assets differently? The perspective of market inefficiency. Research in International Business and Finance, 70(PB), 53-69.
Retrieved from https://doi.org/10.1016/j.ribaf.2024.102351/
-Fiszeder, P., Faldzinski, M. and Molnar, P. (2023). Attention to oil prices and its impact on the oil, gold and stock markets and their covariance. Energy Economics, 120(2), 510-523.
Retrieved from https://doi.org/10.1016/j.eneco.2023.106643/
-Fujiwara, K. (2023). Market structure and industry location in a footloose capital model. Research in Economics, 77(2), 275-283.
Retrieved from https://doi.org/10.1016/j.rie.2022.11.001/
-Gong, J., Wang, J., Zhou, Y., Zhu, Y., Xie, C. and 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(C), 1-17. Retrieved from https://doi.org/10.1016/j.intfin.2023.101733/
-Huang, M., Shao, W. and 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. Resources Policy, 80(25), 21-37.
Retrieved from https://doi.org/10.1016/j.resourpol.2022.103233/
-Husain, A., Karim, S. and Sensoy, A. (2024). Financial fusion: Bridging Islamic and Green investments in the European stock market. International Review of Financial Analysis, 94(C), 630-645. Retrieved from https://doi.org/10.1016/j.irfa.2024.103341/
-Inam, U. and Liang, J. (2024). Analysis of crude oil and gold price volatility and their correlation during socio-economic crises. Resources Policy, 98(1), 1-16. Retrieved from https://doi.org/10.1016/j.resourpol.2024.105311/
-Insaidoo, M., Brafu-Insaidoo, W., Atta Peprah, J. and Cantah, W. (2024). The role of financial globalization in the long-run volatility between forex and stock markets during COVID-19: Evidence from Africa. Research in Globalization, 9(2), 152-171. Retrieved from 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. Energy Nexus, 14, 544-558. Retrieved from https://doi.org/10.1016/j.nexus.2024.100307/
-Joof, F., Samour, A., Ali, M., Tursoy, T., Haseeb, M., Hossain, E. and Kamal, M. (2023). Symmetric and asymmetric effects of gold, and oil price on environment: The role of clean energy in China. Resources Policy, 81(C), 276-296. Retrieved from https://doi.org/10.1016/j.resourpol.2023.103443/
-Karkowska, R. and Urjasz, S. (2024). Importance of geopolitical risk in volatility structure: new evidence from biofuels, crude oil, and grains commodity markets. Journal of Commodity Markets, 36(4), 278-296. Retrieved from https://doi.org/10.1016/j.jcomm.2024.100440/
-Karlsson, S., Mazur, S. and Nguyen, H. (2023). Vector auto regression models with skewness and heavy tails. Journal of Economic Dynamics and Control, 146(2), 15-32. Retrieved from https://doi.org/10.1016/j.jedc.2022.104580/
-Kliber, A., Let, B. and Rezac, P. (2024). Can a boost in oil prices suspend the evolution of the green transportation market? Relationships between green indices and Brent oil. Energy, 295(C), 129-144. Retrieved from https://doi.org/10.1016/j.energy.2024.131037/
-Koczar, M., Jareno, F. and 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(C), 506-522. Retrieved from https://doi.org/10.1016/j.najef.2024.102247/
-Kumar Nandi, B., Kabir, H. and Kumar Nandi, M. (2024). Crude oil price hikes and exchange rate volatility: A lesson from the Bangladesh economy. Resources Policy, 91(2), 1-19. Retrieved from https://doi.org/10.1016/j.resourpol.2024.104858/
-Li, X., Li, H., Ge, X. and Si, D. (2023). Capital market liberalization and systemic risk of non-financial firms: Evidence from Chinese Stock Connect scheme. Pacific-Basin Finance Journal, 82(5), 557-574. Retrieved from https://doi.org/10.1016/j.pacfin.2023.102190/
-Liu, Z., Hu, J., Zhang, S. and 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(C), 141-155. Retrieved from https://doi.org/10.1016/j.najef.2024.102249/
-Luqman, M., Mugheri, A., Ahmad, N. and Soytas, U. (2023). Casting shadows on natural resource commodity markets: Unraveling the quantile dilemma of gold and crude oil prices. Resources Policy, 86(PA), 788-802. Retrieved from https://doi.org/10.1016/j.eneco.2023.107051/
-Madotto, M. and Severino, F. (2023). Heterogeneous awareness in financial markets. Journal of Economic Behavior & Organization, 216(C), 26-41. Retrieved from https://doi.org/10.1016/j.jebo.2023.09.029/
-Mendoza, J., Ramos, C., Fuentealba, C., Yelpo, S. and Saavedra, E. (2024). Connectedness in the global banking market network: Implications for risk management and financial policy. International Review of Financial Analysis, 95(8), 474-488. Retrieved from https://doi.org/10.1016/j.irfa.2024.103470/
-Ming, L., Yang, P., Tian, X., Yang, Y. and Dong, M. (2023). Safe haven for crude oil: Gold or currencies?. Finance Research Letters, 54(1), 29-44. Retrieved from https://doi.org/10.1016/j.frl.2023.103793/
-Mohammadi, T., Ghasemi, A., Taklif, A. andSadeghin, 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. Retrieved from https://doi.org/10.30495/fed.2021.687871 / (In Persian)
-Mojaradi, M., Nikooghadam, M. and 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. Retrieved from https://doi.org/10.22067/mfe.2024.88640.1433 / (In Persian)
-Peipei, W. and James, W. (2024). Predicting oil price fluctuations: Integrating external indicators and advanced regression techniques. Resources Policy, 97(4), 1-19.
Retrieved from https://doi.org/10.1016/j.resourpol.2024.105263/
-Prodromou, T. and Demirer, R. (2022). Oil price shocks and cost of capital: Does market liquidity play a role?. Energy Economics, 115(4), 1-16. Retrieved from https://doi.org/10.1016/j.eneco.2022.106340/
-Razi Kazemi, S., Rahnamaye Roodposhti, F., Zomorrdian, G. and 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. and Alizadeh Nagharchi, F. (2024). Investigating the Asymmetric Effects of Oil Price Uncertainty on Corporates Investment. Macroeconomics Research Letter, 18(40), 41-67. Retrieved from https://doi.org/10.22080/iejm.2024.26309.2015 / (In Persian)
-Shakeel, M., Rabbani, M., Hawaldar, I., Chhabra, V. and 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. Retrieved from https://doi.org/10.1016/j.joitmc.2023.100094/
-Singh, V. and Kumar, P. (2023). Beyond volatility: Systemic resilience and risk mitigation in interconnected commodity markets. Energy Economics, 140(C) ,204-218. Retrieved from https://doi.org/10.1016/j.eneco.2024.107953/
-Southam, C., Jiang, J., Todd, J. and 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(C), 1-21. Retrieved from https://doi.org/10.1016/j.pacfin.2024.102463/
-Szafranek, K., Rubaszek, M. and Salah Uddin, G. (2024). The role of uncertainty and sentiment for intraday volatility connectedness between oil and financial markets. Energy Economics, 137(C), 480-492. Retrieved from https://doi.org/10.1016/j.eneco.2024.107760/
-Xu, J., Guan, B., Lu, V. and Heravi, S. (2024). Macroeconomic shocks and volatility spillovers between stock, bond, gold and crude oil markets. Energy Economics, 136(C), 112-127. Retrieved from https://doi.org/10.1016/j.eneco.2024.107750 /
-Zheng, J., Wen, B., Jiang, Y., Wang, X. and Shen, Y. (2023). Risk spillovers across geopolitical risk and global financial markets. Energy Economics, 127(4), 413-428. Retrieved from https://doi.org/10.1016/j.eneco.2023.107051/