Document Type : Research Paper

Authors

Department of Financial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran

Abstract

A major factor in the Iranian stock market is the risk-taking of the economy. The stock index falls when the economy is at higher risk, either by protests or the possibility of war. The present study was conducted to investigate the existence of fluctuations in the currency, stock, gold, and oil markets during the period 2017-2021 using the common t-test and the DCC-GARCH approach. The statistical population includes all companies listed in the Tehran Stock Exchange during the period 2017 to the end of 2021. The period was chosen due to significant fluctuations in exchange rates, coins, oil, and stocks. To achieve the purpose of the study, first, a descriptive study of coin price trends, exchange rates, and stock and oil indices in the Iranian economy was presented and then the conditional correlation between the returns of these assets was estimated using the dynamic DCC-GARCH conditional correlation method. Conditional correlation between currency and stock markets as well as coins and stock exchanges has increased significantly from a period of calm to a period of turmoil. These results are consistent with the results of the transfer test using t-test statistics. The results showed the existence of transitions between the markets and transitions between the foreign exchange and gold markets. The results also showed that the oil market, because it is the most important source of Iran's income, has a major impact on the gold, currency, and stock markets.

Keywords

Main Subjects

Ahmad, W. and Sehgal, S. (2015). Regime shifts and volatility in BRIICKS stock markets: an asset allocation perspective. International Journal of Emerging Markets.
Ahmed, A. D. and Huo, R. (2019). Impacts of China's crash on Asia-Pacific financial integration: Volatility interdependence, information transmission and market co-movement. Economic Modelling, 79, 28-46.
Al Nasser, O. M. and Hajilee, M. (2016). Integration of emerging stock markets with global stock markets. Research in International Business and Finance, 36, 1-12.
Arouri, M. E. H., Lahiani, A. and Nguyen, D. K. (2015). Cross-market dynamics and optimal portfolio strategies in Latin American equity markets. European Business Review.
Beirne, J., Caporale, G. M., Schulze-Ghattas, M. and Spagnolo, N. (2013). Volatility spillovers and contagion from mature to emerging stock markets. Review of International Economics, 21(5), 1060-1075.
Bekiros, S. D. (2013). Decoupling and the Spillover Effects of the US Financial Crisis: Evidence from the BRIC Markets. European University Institute, The Rimini Centre for Economic Analysis WP.
Ben Rejeb, A. B. and Arfaoui, M. (2016). Financial market interdependencies: A quantile regression analysis of volatility spillover. Research in International Business and Finance, 36, 140-157.
Bhuyan, R., Robbani, M. G., Talukdar, B. and Jain, A. (2016). Information transmission and dynamics of stock price movements: An empirical analysis of BRICS and US stock markets. International Review of Economics & Finance, 46, 180-195.
Botshekan, Mohammad Hashem; Mohseni, Hosein. (2017). Investigation volatility spillovers between oil market and stock index return. Investment Knowledge, Volume 7, Number 25, 267-284. [In Persian]
Bouri, E. I. (2013). Correlation and volatility of the MENA equity markets in turbulent periods, and portfolio implications. Economics Bulletin, 33(2), 1575-1593.
Cao, G., Han, Y., Li, Q. and Xu, W. (2017). Asymmetric MF-DCCA method based on risk conduction and its application in the Chinese and foreign stock markets. Physica A: Statistical Mechanics and Its Applications, 468, 119-130.
Cardona, L., Gutiérrez, M. and Agudelo, D. A. (2017). Volatility transmission between US and Latin American stock markets: Testing the decoupling hypothesis. Research in International Business and Finance, 39, 115-127.
Chancharoenchai, K. and Dibooglu, S. (2006). Volatility spillovers and contagion during the Asian crisis: evidence from six Southeast Asian stock markets. Emerging Markets Finance and Trade, 42(2), 4-17.
Chang, C. L., McAleer, M. and Wong, W. K. (2018). Big data, computational science, economics, finance, marketing, management, and psychology: connections. Journal of Risk and Financial Management, 11(1), 15.
Chang, C. L., McAleer, M. and Zuo, G. (2017). Volatility spillovers and causality of carbon emissions, oil and coal spot and futures for the EU and USA. Sustainability, 9(10), 1789.
Chen, G. M., Firth, M. and Rui, O. M. (2002). Stock market linkages: evidence from Latin America. Journal of Banking & Finance, 26(6), 1113-1141.
Coleman, S., Leone, V. and de Medeiros, O. R. (2019). Latin American stock market dynamics and comovement. International Journal of Finance & Economics, 24(3), 1109-1129.
Demirer, R., Gupta, R., Lv, Z. and Wong, W. K. (2019). Equity return dispersion and stock market volatility: Evidence from multivariate linear and nonlinear causality tests. Sustainability, 11(2), 351.
Diamandis, P. F. (2009). International stock market linkages: Evidence from Latin America. Global Finance Journal, 20(1), 13-30.
Diebold, F. X. and Yilmaz, K. (2012). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of forecasting, 28(1), 57-66.
Engle, R. F. and Sheppard, K. F. (2001). Multivariate simultaneous generalized ARCH. Econometric theory, 11(1), 122-150.
Fang, L. and Bessler, D. A. (2018). Is it China that leads the Asian stock market contagion in 2015?. Applied Economics Letters, 25(11), 752-757.
Fernández-Serrano, J. L. and Sosvilla-Rivero, S. (2003). Modelling the linkages between US and Latin American stock markets. Applied Economics, 35(12), 1423-1434.
Fortunato, G., Martins, N. and de Lamare Bastian-Pinto, C. (2020). Global Economic Factors and the Latin American Stock Markets. Latin American Business Review, 21(1),61-91.
Gamba-Santamaria, S., Gomez-Gonzalez, J. E., Hurtado-Guarin, J. L. and Melo-Velandia, L. F. (2017). Stock market volatility spillovers: Evidence for Latin America. Finance Research Letters, 20, 207-216.
Garza-García, J. G. and Vera-Juárez, M. E. (2010). Who influences Latin American stock market returns? China versus USA. International Research Journal of Finance and Economics, 55, 22-35.
Graham, M., Kiviaho, J. and Nikkinen, J. (2012). Integration of 22 emerging stock markets: A three-dimensional analysis. Global Finance Journal, 23(1), 34-47.
Gulzar, S., Mujtaba Kayani, G., Xiaofen, H., Ayub, U. and Rafique, A. (2019). Financial cointegration and spillover effect of global financial crisis: A study of emerging Asian financial markets. Economic research-Ekonomska istraživanja, 32(1), 187-218.
Guo, X., Jiang, X. and Wong, W. K. (2017). Stochastic dominance and omega ratio: Measures to examine market efficiency, arbitrage opportunity, and anomaly. Economies, 5(4), 38.
Han, Q. and Liang, J. (2017). Index futures trading restrictions and spot market quality: Evidence from the recent Chinese stock market crash. Journal of Futures Markets, 37(4), 411-428.
Horvath, R. and Poldauf, P. (2012). International stock market comovements: what happened during the financial crisis?. Global Economy Journal, 12(1), 1850252.
Hwang, J. K. (2014). Spillover effects of the 2008 financial crisis in Latin America stock markets. International Advances in Economic Research, 20(3), 311-324.
Kashanitabar, Sh., Rahnamaroodposhti, F., Fallah, M., Chirani, E., Zomordian, G. (2019). Prediction of stock price bubble drop in Tehran Stock Exchange (conditional Volatility approach). Financial Engineering and Portfolio Management, Volume 11, Number 44, 328-349, [In Persian].
Ln, F., Kim, S., Yoon, J. H. and Viney, C. (2001). Dynamic interdependence and volatility transmission of Asian stock markets: Evidence from the Asian crisis. International Review of Financial Analysis, 10(1), 87-96.
Lv, Z., Chu, A. M., McAleer, M. and Wong, W. K. (2019). Modelling economic growth, carbon emissions, and fossil fuel consumption in china: Cointegration and multivariate causality. International journal of environmental research and public health, 16(21), 4176.
Ly, S., Pho, K. H., Ly, S. and Wong, W. K. (2019). Determining distribution for the product of random variables by using copulas. Risks, 7(1), 23.
Markovitz, Harry M. (1959). Portfolio Selection: Efficient Diversification of Investments. Cowles Foundation Monograph 16. London: Yale University Press.
Mensi, W., Hammoudeh, S., Nguyen, D. K. and Kang, S. H. (2016). Global financial crisis and spillover effects among the US and بریکس stock markets. International Review of Economics & Finance, 42, 257-276.
Meric, G., Leal, R. P., Ratner, M. and Meric, I. (2001). Co-movements of US and Latin American equity markets before and after the 1987 crash. International Review of Financial Analysis, 10(3), 219-235.
Mirzainejad, Masoumeh, Radfar, R., Mir feyz, F. and Fathi, K. (2021). Designing a dynamic model of Iran's financial markets using system dynamics. Management Accounting, Volume 14, Number 4, pp. 1-10, [In Persian]
Mokni, K., Hammoudeh, S., Ajmi, A. N. and Youssef, M. (2020). Does economic policy uncertainty drive the dynamic connectedness between oil price shocks and gold price?. Resources Policy, 69, 101819.
Ramirez-Hassan, A. and Pantoja, J. O. (2018). Co-movements between Latin American and US stock markets: convergence after the financial crisis?. Latin American Business Review, 19(2), 157-172.
Razikazemi, S., Zomordian, G. and Chirani, E. (2021). Volatility Spillover in the financial markets of Iran (Method of VAR-GARCH models). Financial Engineering and Portfolio Management, Volume 12, Number 46, 10-12. [In Persian]
Sharkasi, A., Ruskin, H. J. and Crane, M. (2005). Interrelationships among international stock market indices: Europe, Asia and the Americas. International Journal of Theoretical and Applied Finance, 8(05), 603-622.
Sharma, G. D., Mahendru, M. and Singh, S. (2013). Are the stock exchanges of emerging economies inter-linked: Evidence from بریکس. Indian Journal of Finance, 7(1).
Su, X. (2020). Measuring extreme risk spillovers across international stock markets: A quantile variance decomposition analysis. The North American Journal of Economics and Finance, 51, 101098.
Sujit, K. S. and Kumar, B. R. (2011). Study on dynamic relationship among gold price, oil price, exchange rate and stock market returns. International journal of applied business and economic research, 9(2), 145-165.
Syriopoulos, T., Makram, B. and Boubaker, A. (2015). Stock market volatility spillovers and portfolio hedging: بریکس and the financial crisis. International Review of Financial Analysis, 39, 7-18.
Taşdemir, M. and Yalama, A. (2014). Volatility spillover effects in interregional equity markets: empirical evidence from Brazil and Turkey. Emerging Markets Finance and Trade, 50(2), 190-202.
Wong, W. K., Lean, H. H., McAleer, M. and Tsai, F. T. (2018). Why are warrant markets sustained in Taiwan but not in China?. Sustainability, 10(10), 3748.
Woo, K. Y., Mai, C., McAleer, M. and Wong, W. K. (2020). Review on efficiency and anomalies in stock markets. Economies, 8(1), 20.
Yang, Z. and Zhou, Y. (2017). Quantitative easing and volatility spillovers across countries and asset classes. Management Science, 63(2), 333-354.
Yousaf, I. and Ahmed, J. (2018). Mean and Volatility Spillover of the Latin American Stock Markets. Journal of Business & Economics, 10(1), 51-63.
Yousaf, I. and Hassan, A. (2019). Linkages between crude oil and emerging Asian stock markets: New evidence from the Chinese stock market crash. Finance Research Letters, 31.
Yuan, X., Tang, J., Wong, W. K. and Sriboonchitta, S. (2020). Modeling co-movement among different agricultural commodity markets: A Copula-GARCH approach. Sustainability, 12(1), 393