Transmission of Volatility between Stock Markets of Iran, India and Turkey Using BEKK-GARCH Model

Document Type : پژوهشی

Authors

• zahra nasrollahi ¹
• Razieh Tyebi ²
• Azadeh fotovat ²
• zohreh Eskandaripour ³

¹ Yazd University

² Jahad Daneshgahi University, Yazd, Iran

³ Sistan and Blochestan University, Zahedan, Iran

https://doi.org/10.22067/pm.v25i15.28923

Abstract

Introduction
Internationalization of financial markets has caused what is happening in a country to be felt quickly in other countries. This affects the returns and risks of securities listed in the stock exchange; therefore, it is necessary to identify and analyze the relationship between stock markets properly. For this purpose, two goals are pursued in this paper; investigating the impact of the Indian and Turkish stock markets on the Iranian stock market, and investigating the effect of the Iranian stock market on the stock markets of India and Turkey.

Theoretical Framework
The past decade has experienced financial and economic crises affecting economic development and evaluation principles. Due to the turbulence of the crisis, financial analysts and market participants feared that the overflow of the crisis into other economies might boost instability in global financial markets. Experience has shown that the effects and the extent of the spread of crises vary in scope and quality. For example, the financial turmoil in the Turkish stock market in 2001 was completely independent and had no impact on other markets (Desai, 2003), while Mexican and Asian crises had regional implications (Glyctic & Rose, 1999). In contrast, the Russian financial crisis of 1998 increased the volatility of global security of markets with enormous adventures (International Settlement Bank, 1999).
Today, financial markets are moving towards integration more than before, and countries have close economic relations in addition to their cultural and political ties. This is in many respects positive, but it also brings about many changes in the financial and economic system of countries (Ahmadzadeh, Heydari & Zolfaghari, 2012).
According to experts, since the recession in the United States and European countries, which led to bank failures and subsequent downsizing in the economy of these countries, the demand for energy and oil will reduce world oil prices. Some countries (e.g., oil-dependent economies) will face with lots of problems. At the outset of the crisis, it was a misconception that Iran would not take any effect from this crisis and could even be an ideal opportunity for the Iranian economy, but over time, the effects of the crisis put new challenges to the Iranian economy including a dramatic drop in oil revenues, a recession in the global market, decrease in non-oil exports, and consequently, drop of Tehran’s stock market.
The purpose of this paper is to examine whether fluctuations in the stock market of countries with which Iran has a good economic relationship is transferred to the stock market of Iran. For this purpose, two goals are pursued in this paper; investigating the impact of the Indian and Turkish stock markets on the Iranian stock market, and investigating the effect of the Iranian stock market on the stock markets of India and Turkey.

Methodology
In this regard, this relationship is examined as Couples between the stock market of Iran and stock markets of Turkey and India. In this research, which focuses on the fluctuation modeling in the stock market of Iran and two Asian stock markets, a multivariate GARCH model has been developed which is used to examine the transmission of fluctuations between price indices of Iranian stock market, the Turkish stock market and the Indian stock market. The relationship between stock markets of Iran, Turkey and India has been evaluated using daily stock price data for the period 2007-2013 and the BEKK-GARCH model (Angel & Keroni, 1995).

Results and Discussion
The results show that the domestic markets with one-period lagged residual have a direct effect on all three countries. Regarding the domestic markets, the coefficients of ARCH and GARCH are significant for all three countries. This means that the fluctuations of the stock market index of the three countries of Iran, India and Turkey have a statistically significant relationship with previous fluctuations; however, no relationship between the Iranian stock market and the stock markets of India and Turkey was found. In other words, there is no apparent fluctuation transmission from the stock market index of Iran to Turkey, and vice versa. With respect to the Indian Stock exchange, the same results were achieved.
Although the international transfer of stock market volatility may affect the decisions made by the firm's capital budget, investors' consumption decisions, and other business cycles, under such circumstances, it may be argued that because of the insignificant relationship between the Iranian financial market and the global markets, the possibility of a crisis spreading from the Iranian economy to world markets is not possible, but there is still concern about the impact of the global economic crisis on the Iranian economy. Perhaps, its direct effect is to reduce global demand for crude oil, which will increase the pace of the global crisis in the Iranian economy, given the strong dependence of Iran's economic budget on oil revenues.

Keywords

• Financial market
• Volatility
• BEKK-GARCH model

References

[1] Hassanzadeh, Ali .(2008). "Global financial crisis and its effects on Iran's economy", Journal of Economics, No. 122, p. 5 to 17. (in Persian)

[2] Forzinoosh, Asadollah and Barkhordari, Sajjad. (2010). "Global Experiences to Counteract the Financial and Educational Crisis for the Iranian Economy", Journal of Economics, No. 127, pp. 116 to 141. (in Persian)

[3] Nazifi Naeini, Minoo, Fatahi, Shahram and Samadi, Saeed. (2012). "Modeling and predicting stock market fluctuations using the Garch Markov transition model." Journal of Economics, Third Year, No. 9, pp. 117-142. (in Persian)

[4] Suri, Ali. (2012). Econometrics with its application in Eviews7, Cultural Publishing, Fifth Edition. (in Persian).

[5] Ahmadzadeh, Aziz, Heidari, Hasan and Zolfaghari, Mehdi. (2012). "Analysis of the recent financial crisis and its effect on Iran's oil economy", Economic Magazine No. 6 & 7, pp. 29-46. (in Persian)

[6] Baig, T. and I. Goldfajn. (2001). “The Russian default and the contagion to Brazil, in: Claessens S. and K. Forbes (eds.), International Financial Contagion. Boston, Mas- sachusetts, Kluwer Academic Press.

[7] Bollerslev, T.P. (1986). “General Autoregressive Conditional Heteroskedasticity, Journal of Econometrics, 31, 309-328.

[8] Bollerslev, T., R.F. Engle and J.M. Wooldridge. (1988). “A Capital Asset Pricing Model with Time-Varying Covariances, Journal of Political Economy, 96, 116-131

[9] Cheung, Y.L., Y.W. Cheung and L.K. Ng. (2002). “East Asian Equity Markets, Financial

[10] Crises and the Japanese Currency, «Journal of Econometrics, 72, 33-48.

[11] Desai, P. (2003). Financial Crisis, Contagion, and Containment: From Asia to Argentina, Princeton, NJ: Princeton University Press.

[12] Dungey, M., R.A. Fry, B. Gonzalez-Hermosillo and V.L. Martin. (2006). “International con- tagion effects from the Russian crisis and the LTCM near-collapse,” Journal of Fi- nancial Stability, 2(1), 1-27.

[13] Engle, R.F. (1982). “Autoregressive Conditional Heteroskedasticity with Estimates of the

[14] Variance of U.K. Inflation, Econometrica, 50, 987-1008.

[15] Engle, R.F. and K.F. Kroner. (1995). “Multivariate Simultaneous Generalized ARCH,” Econometric Theory, 11: 122-150.

[16] Glick, R., A.K. Rose. (1999). “Contagion and Trade: Why Are Currency Crises Regional?” Journal of International Money and Finance, 18, 603-617.

[17] Hamao, Y., R.W. Masulis and V. Ng. (1990). “Correlations in Price Changes and Volatility across International Stock Markets,” Review of Financial Studies, 3, 281-307.

[18] Karolyi, A.G. (1995). “A Multivariate GARCH Model of International Transmissions of Stock Returns and Volatility: The Case of the United States and Canada,” Journal of Business and Economic Statistics, 11, 11-25.

[19] Kasch-Haroutounian and S. Price. (2001). “Volatility in the transition markets of central Europe,” Applied Financial Economics, 11, 93-105.

[20] Kashif, Saleem. (2009)." International linkage of the Russian market and the Russian financial crisis: A multivariate GARCH analysis",Rsearch in International Business & Finance,Volum 23,Issue 3,September.

[21] Li, H. and E. Majerowska. (2007). “Testing stock market linkages for Poland and Hungary: A multivariate GARCH approach,” Research in International Business and Finance, article in press.

[22] Lin, W.L., R.F. Engle and T. Ito. (1994). “Do Bulls and Bears Move Across Borders? Inter- national Transmission of Stock Returns and Volatility,” Review of Financial Stud- ies, 7, 507-538.

[23] Liu, Y.A. and M.S. Pan. (1997). “Mean and Volatility Spillover Effects in the U.S. and Pa- cific- Basin Stock Markets,” Multinational Finance Journal, 1, 47-62.

[24] Liu, Y.A., M.S. Pan, J.C.P. Shieh. (1998). “International Transmission of Stock Price Movements: Evidence from the U.S. and Five Asian-Pacific Markets,” Journal of Economics and Finance, 22, 56-69.

[25] Rafiq Maniya, Suleman.Magnusson,Fredrik. (2010). " Bear Periods Amplify Correlation: A GARCH BEKK Approach", Master Degree Project, 2010:129, 24 jun.

[26] Sola, M., Spagnolo, F., Spagnolo N. (2002). “A Test for Volatility Spillovers,” Economics Letters, 76, 77-84.

[27] Susmel, R. and R.F. Engle. (1994). “Hourly volatility spillovers between international equity markets,” Journal of International Money and Finance, 13, 3-25.

[28] Walti, S. (2003). “Testing for Contagion in International Financial Markets: Which Way to Go?” FAME Working Paper No. 92.

[29] Worthington, A. C., M. Katsuura, and H. Higgs. (2000). “Price Linkages in Asian Equity Markets and the Asian Economic, Currency and Financial Crises,” School of Eco- nomics and Finance, Queensland University of Technology, Brisbane, Queensland, Discussion Paper No. 77.

[30] The European Financial Crisis and New Investment Opportunities for Turkey "" www.menanews.ir

[31] Fars News Agency. "The direct effects of the global financial crisis on six major economic areas" www.farsnews.com”