Study of Shock and Volatility Spillovers among Selected Indices of the Tehran Stock Exchange Using Asymmetric BEKK-GARCH Model

Document Type : Research Article

Authors

1 PhD student of Economics, Department of Economics, Faculty of Economics and management, urmia university, Urmia, Iran

2 Department of Economics, Faculty of Economics and management, Urmia university, Urmia, Iran

3 Prof of Economics, Department of Economics, Faculty of Economics and management, urmia university, Urmia, Iran

4 Lecturer in Economics Faculty, Kharazmi University, Tehran, Iran

Abstract

The main objective of this study is to investigate shock spillovers and volatility over the selected indexes of Tehran Stock Exchange including the automotive and parts manufacturing group, banking group and oil products group in the period of 13th December, 2008 to 21th November, 2017. In order to that, MS-VAR model and Asymmetric BEKK have used. The results showed evidence of standard leverage in both regimes, as The results in the zero-order regime indicate the interaction of the Shocks and volatilities of each group on the Shocks and volatilities of other groups, and the past volatilities of each group relative to the past Shocks of that group contributed to the current volatility of that group in the zero-order regime. The results in first regime also showed that the news of the oil products group did not have any significant effect on the volatility of the automobile group, and vice versa. While Shocks transferring between banking groups and petroleum refineries, and between automobile group and banking groups are two-way. Also, the volatility of the banking group affects the volatility of the oil products group and volatility spillovers between petroleum product groups and automobile group is one-way.

Keywords


ابریشمی، حمید، مهرآرا، محسن و آریانا، یاسمین (1386). «ارزیابی عملکرد مدل‎های پیش‎بینی بی‎ثباتی قیمت نفت»، تحقیقات اقتصادی، 1(42)، 1-21.
تهرانی، رضا و سیدخسروشاهی، سید علی (1396). «انتقال نوسان و اثر متقابل بازارهای سهام، ارز و طلا»، فصلنامه چشم­انداز مدیریت مالی، 7(18)، 9-31.
سیدحسینی، سید محمد و ابراهیمی، سید بابک (1392). «بررسی سرایت تلاطم بین بازارهای سهام؛ مطالعه موردی بازار سهام ایران، ترکیه و امارات»، فصلنامه دانش مالی تحلیل اوراق بهادار، 6(19)، 81-97.
علمی، زهرا، ابونوری، اسماعیل، راسخی، سعید و شهرازی، محمد مهدی (1393). «اثر شکست های ساختاری در نوسانات بر انتقال تکانه و سرریز نوسان میان بازارهای طلا و سهام ایران»، فصلنامه مدلسازی اقتصادی، 8(2)، 57-73.
فلاحی، فیروز، پناهی، حسین و کریمی کندوله، مریم (1396). «بررسی هم‌بستگی بین بازده‌ی بازار سهام، ارز و سکه در اقتصاد ایران؛ کاربردی از تبدیل هیلبرت – هوانگ»، مجله تحقیقات اقتصادی، 4(52)، 905-934.
فلاحی، فیروز، حقیقت، جعفر، صنوبر، ناصر و جهانگیری، خلیل (1393). «بررسی همبستگی بین تلاطم بازار سهام، ارز و سکه در ایران با استفاده از مدل DCC-GARCH»، فصلنامه پژوهشنامه اقتصاد انرژی، 14(52)، 123-147.
فلاحی، محمدعلی و کریمی، الهه (1391). «بررسی اثر سرریز تلاطم قیمت در بازارهای بین المللی نفت خام و بنزین»، اولین همایش سراسری محیط­زیست، انرژی و پدافند زیستی.
کرمی، سپیده و رستگار، محمدعلی (1396). «اثر سرریز بازده و نوسانات صنایع مختلف بر روی یکدیگر»،  مدلسازی ریسک و مهندسی مالی، 9(35)، 323-342.
مشایخ، شهناز و حراف عموقین، نسیم (1390). «رابطه اندازه شرکت با نوسانات بازده سهام در شرایط مختلف بازار»، پژوهش­های حسابداری مالی و حسابرسی، 3(11)، 69-86.
ممی­پور، سیاب و جلالی، مهسا (1396). «بررسی سرریز تلاطم بین شاخص‌های قیمت حامل‌های انرژی و گروه‌های مختلف کالاها و خدمات مصرفی (با استفاده از مدل VAR-BEKK GARCH)»، فصلنامه مطالعات اقتصادی کابردی ایران، 6(21)، 43-73.
Arouri, M. E. H., Lahiani, A., Nguyen, D. K. (2015). “World gold prices and stock returns in China: insights for hedging and diversification strategies”. Economic Modelling, 44, 273-282.
Bonato, M., Caporin Massimiliano, Ranaldo, Angelo (2011). Hedging risk spillovers in international equity Portfolios, working paper.
Baba, Y., Engle, R. F., Kraft, D. F., Kroner, K. F. (1990).  Multivariate simultaneous generalized arch, department of economics, university of california at san diego. Working Paper.
Baruník, J., Kočenda, E., Vácha, L. (2016). “Gold, oil, and stocks: Dynamic correlations”. International Review of Economics & Finance, 42, 186-201.
Balasubramanyan, L. (2004). “Do Time-Varying Covariances, Volatility Comovement and Spillover Matter?”. Pennsylvania State University Paper, 1(2). 4-28.
Bollerslev, T., Engle, R. F., & Wooldridge, J. M. (1988). A capital asset pricing model with time-varying covariances. Journal of political Economy, 96(1), 116-131.
Bollerslev, T. (1990). Modeling the coherence in short-run nominal exchange rates: a multivariate generalized ARCH model. Review of Economics and Statistics, 72: 498–505.
Bollerslev, T., Chou, R. Y., & Kroner, K. F. (1992). ARCH modeling in finance: A review of the theory and empirical evidence. Journal of econometrics, 52(1-2), 5-59.
Cologni, A., Manera, M. (2009). “The asymmetric effects of oil shocks on output growth: A Markov–Switching analysis for the G-7 countries”. Economic Modelling, 26(1), 1-29.
Cont, R. (2007). Volatility clustering in financial markets: empirical facts and agent-based models. Long memory in economics (pp. 289-309). Springer, Berlin, Heidelberg.
Dornbusch, R., Park, Y. C., Claessens, S. (2000). “Contagion: How it spreads and how it can be stopped”. World Bank Research Observer, 15(2), 177-197.
Engle, R. F., Ng, V. K., & Rothschild, M. (1990). Asset pricing with a factor-ARCH covariance structure: Empirical estimates for treasury bills. Journal of Econometrics, 45(1-2), 213-237.
Engle, R. F., & Kroner, K. F. (1995). Multivariate simultaneous generalized ARCH. Econometric theory, 11(1), 122-150.
Gkillas, K., Vortelinos, D. I., Saha, S. (2018). “The properties of realized volatility and realized correlation: Evidence from the Indian stock market”. Physica A: Statistical Mechanics and its Applications, 492, 343-359.
Glosten, L. R., Jagannathan, R., Runkle, D. E. (1993). “On the relation between the expected value and the volatility of the nominal excess return on stocks”. The journal of finance48(5), 1779-1801.
Innocent, N., Mung’atu, J. K. (2016). “Modeling Time-Varying Variance-Covariance for Exchange Rate Using Multivariate GARCH Model “Case Study of Bivariate BEKK-GARCH Model of Us Dollars and Kenyan Shillings Vis a Vis Rwandan Francs”. International Journal of Thesis Projects and Dissertations, 4(2), 49-65.
Jebran, K., Iqbal, A. (2016). “Dynamics of volatility spillover between stock market and foreign exchange market: evidence from Asian Countries”. Financial Innovation, 2(1): 3.
Jain, M., Kanjilal, K. (2017). “Non-linear dynamics of hot and cold cycles in Indian IPO markets: evidence from Markov regime-switching vector autoregressive model”. Macroeconomics and Finance in Emerging Market Economies, 10(2), 172-190.
Jurado, K., Ludvigson, S. C., Ng, S. (2015). “Measuring uncertainty”. The American Economic Review, 105(3), 1177-1216.
Karali, B., Ramirez, O. A. (2014). “Macro determinants of volatility and volatility spillover in energy markets”. Energy Economics, 46, 413-421.
Kang, S. H., Cheong, C., Yoon, S. M. (2011). “Structural changes and volatility transmission in crude oil markets”. Physica A: Statistical Mechanics and its Applications, 390(23), 4317-4324.
Krolzig, H. M., & Autoregressions, M. S. V. (1997). Modelling, statistical inference and application to Business Cycle Analysis. Lecture Notes in Economics and Mathematical Systems, Springer, New York.
Kroner, K. F., Ng, V. K. (1998). “Modeling asymmetric comovements of asset returns”. The review of financial studies, 11(4), 817-844.
Majumder, S. B., Nag, R. N. (2018). “Shock and Volatility Spillovers Among Equity Sectors of the National Stock Exchange in India”. Global Business Review, 0972150917713290.‏
Monbet, V., Ailliot, P. (2017). “Sparse vector Markov switching autoregressive models. Application to multivariate time series of temperature”. Computational Statistics & Data Analysis, 108, 40-51.‏
Mensi, W., Hammoudeh, S., Nguyen, D. K., Kang, S. H. (2016). “Global financial crisis and spillover effects among the US and BRICS stock markets”. International Review of Economics & Finance, 42, 257-276.‏
Mouna, A., Anis, J. (2017). “Stock Market, Interest Rate and Exchange Rate Risk Effects on non-Financial Stock Returns During the Financial Crisis”. Journal of the Knowledge Economy, 8(3), 898-915.‏
Pagan, A. (1996). The econometrics of financial markets. Journal of Empirical Finance, 3, 15-102.
Partalidou, X., Kiohos, A., Giannarakis, G., Sariannidis, N. (2016). The impact of Gold, Bond, Currency, Metals and Oil markets on the USA stock market. International Journal of Energy Economics and Policy, 6(1).‏ 76-81.
Rapach, D. E., Zhou, G. (2013). “Forecasting stock returns”. Handbook of economic forecasting, 2(Part A), 328-383.‏
Saiti, B., Bacha, O. I., Masih, M. (2016). “Testing the conventional and Islamic financial market contagion: evidence from wavelet analysis”. Emerging Markets Finance and Trade, 52(8), 1832-1849.
Wang, Y., Liu, L. (2016). “Spillover effect in Asian financial markets: A VAR-structural GARCH analysis”. China Finance Review International, 6(2), 150-176.
Wang, Y., Wu, C. (2012). “Forecasting energy market volatility using GARCH models: Can multivariate models beat univariate models?”. Energy Economics, 34(6), 2167-2181.