Review of Professional Management- A Journal of New Delhi Institute of Management

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Shock and Volatility Spillovers between Stock Markets of India and Select Asian Economies


Affiliations
1 Assistant Professor (Finance), University School of Management Studies, Guru Gobind Singh Indraprastha University, Dwarka, New Delhi, India
 

Flow of information and volatility coming from stock markets of other countries have significant impact on the stock market of a country. Volatility is even higher in the case the countries enjoy good economic conditions among themselves. The present manuscript aims to probe into the spread of impacts over a large range of returns and volatility in four major equity markets of Asia viz. India, China, Hongkong and Japan for a period of 18 years ranging from 2000 to 2017. The study uses VAR based GARCH model to determine the volatility spillover among the chosen countries for the period under assessment. The empirical outcomes of the study present that all selected markets have responded to their own lag of conditional volatility along with news shocks. The impact of conditional variance is higher in comparison to shocks which is an indication that markets fundamentals are stronger than corrections or shocks. The results of cross country spillover show that volatility of Shanghai Stock Exchange of China and shocks from Japan and Hongkong markets assert a significant effect over volatility of Indian equity market. Volatility of stock markets of Japan and China is not affected by the cross market volatility and shocks spillover from India. In contrast, volatility of Hongkong market is affected by shocks and volatility of Indian equity markets. Findings of the research have meaningful insights for the Governments and regulators, academicians, researchers, investors and fund managers in framing investment strategies in the chosen markets.

Keywords

Return, Volatility Spillovers, VAR, GARCH, Stock Markets.
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  • Arouri, M. E. H., Jouini, J., & Nguyen, D. K. (2012). On the impacts of oil price fluctuations on European equity markets: Volatility spillover and hedging effectiveness. Energy Economics, 34(2), 611-617.

  • Baele, L. (2005). Volatility spillover effects in European equity markets. Journal of Financial and Quantitative Analysis, 40(2), 373-401.

  • Baillie, R. T., & Bollerslev, T. (1991). Intra-day and inter-market volatility in foreign exchange rates. The Review of Economic Studies, 58(3), 565-585.

  • Beirne, J., Caporale, G. M., Schulze-Ghattas, M., & Spagnolo, N (2009). Volatility spillovers and contagion from mature to emerging stock markets. Working Paper series 1113:1–48.

  • Bekiros, Stelios D (2014). Contagion, decoupling and the spillover effects of the US financial crisis: Evidence from the BRIC markets. International Review of Financial Analysis, 33(1), 58-69.

  • Billio, M., & Pelizzon, L. (2003). Volatility and shocks spillover before and after EMU in European stock markets. Journal of Multinational Financial Management, 13(4), 323-340.

  • Bollerslev, T. (1986). Generalized autoregressive conditional heteroscedasticity. Journal of Econometrics, 13(4-5), 307-327.

  • Bonilla, C. A., & Sepulveda, J. (2011). Stock returns in emerging markets and the use of GARCH models. Applied Economics Letters, 18(14), 1321-1325.

  • Bordo, M. D., & Murshid, A. P. (2006). Globalization and changing patterns in the international transmission of shocks in financial markets. Journal of International Money and Finance, 25(4), 655-674.

  • Calomiris, C. W., Love, I., & Pería, M. S. M. (2012). Stock returns’ sensitivities to crisis shocks: Evidence from developed and emerging markets. Journal of International Money and Finance, 31(4), 743-765.

  • Chou, R. Y. T. (2005). Forecasting financial volatilities with extreme values: the conditional autoregressive range (CARR) model. Journal of Money, Credit, and Banking, 37(3), 561-582.

  • Chou, R. Y., Lin, J., & Wu, C. (1999). Modeling the Taiwan stock market and international linkages. Pacific Economic Review, 4(3), 305-320.

  • Chung, Y. W., & Ng, L. (1992). Interactions between the U.S. and Japan stock market indices. Journal of International Financial Markets, Institutions and Money, 2(2), 51-69.

  • Demirer, R., Gupta, R., Lv, Z., & Wong, W. K. (2019). Equity Return Dispersion and Stock Market Volatility: Evidence from Multivariate Linear and Nonlinear Causality Tests. Sustainability, 11(2), 351.

  • Diebold, F. X., & Yilmaz, K. (2009). Measuring financial asset return and volatility spillovers, with application to global equity markets. The Economic Journal, 119(534), 158-171.

  • Donadelli, M. (2015). Asian stock markets, US economic policy uncertainty and US macro-shocks. New Zealand Economic Papers, 49(2), 103-133.

  • Du, X., Cindy, L. Y., & Hayes, D. J. (2011). Speculation and volatility spillover in the crude oil and agricultural commodity markets: A Bayesian analysis. Energy Economics, 33(3), 497-503.

  • Engle, R. (1982). Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom inflation, Econometrica, 50(4), 987-1006.

  • Engle, R.F. (2002). Dynamic conditional correlation: a simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business and Economic Statistics, 20, 339-350.

  • Eun, C. S. and Shim, S. (1989). International transmission of stock market movements. Journal of Financial and Quantitative Analysis. 24, 241-256.

  • Fiszeder, P., & Orzeszko, W. (2012). Nonparametric verification of GARCH-class models for selected Polish exchange rates and stock indices. Finance a Uver, 62(5), 430.

  • Gahlot, R. (2013). Capturing volatility and its spillover in South Asian countries. Journal of Economic & Financial Studies, 1(01), 46-60.

  • Hamao, Y., Masulis, R. W., & Ng, V. (1990). Correlations in price changes and volatility across international stock markets. Review of Financial Studies, 3(2), 281-307.

  • Hammoudeh, S., & Li, H. (2008). Sudden changes in volatility in emerging markets: The case of Gulf Arab stock markets. International Review of Financial Analysis, 17(1), 47-63.

  • Hammoudeh, S., Yuan, Y., & McAleer, M., (2009). Shock and volatility spillovers among equity sectors of the Gulf Arab stock markets. Quarterly Review of Economics and Finance, 49, 829–842.

  • Hassan, S. A., & Malik, F. (2007). Multivariate GARCH modeling of sector volatility transmission. The Quarterly Review of Economics and Finance, 47(3), 470-480.

  • Hong, Y. (2001). A test for volatility spillover with application to exchange rates. Journal of Econometrics, 103(1), 183-224.

  • Jebran, K. (2014). Dynamic linkages between Asian countries stock markets: evidence from Karachi Stock Exchange. Journal of Management Sciences, 3(5), 1171-1198.

  • Jebran, K., & Iqbal, A. (2016). Examining volatility spillover between Asian countries’ stock markets. China Finance and Economic Review, 4(1), 6.

  • Jiang, Y., Ma, C. Q., Yang, X. G., & Ren, Y. S. (2018). Time-Varying Volatility Feedback of Energy Prices: Evidence from Crude Oil, Petroleum Products, and Natural Gas Using a TVP-SVM Model. Sustainability, 10(12), 4705.

  • Joshi, P. (2011). Return and volatility spillovers among Asian stock markets. Sage Open, 1(1), 1-8

  • Kanas, A. (2000). Volatility spillovers between stock returns and exchange rate changes: International evidence. Journal of Business Finance & Accounting, 27(3-4), 447-467.

  • Karolyi, G. A. (1995). A multivariate GARCH model of international transmissions of stock returns and volatility: The case of the United States and Canada. Journal of Business & Economic Statistics, 13(1), 11-25.

  • Kenourgios, D., Samitas, A., & Paltalidis, N. (2011). Financial crises and stock market contagion in a multivariate time-varying asymmetric framework. Journal of International Financial Markets, Institutions and Money, 21(1), 92-106.

  • Khemiri, R. (2011). The smooth transition GARCH model: application to international stock indexes. Applied Financial Economics, 21(8), 555-562.

  • Kodres, L. E., & Pritsker, M. (2002). A rational expectations model of financial contagion. The Journal of Finance, 57(2), 769-799.

  • Koopman, S. J., Jungbacker, B., & Hol, E. (2005). Forecasting daily variability of the S&P 100 stock index using historical, realised and implied volatility measurements. Journal of Empirical Finance, 12(3), 445-475.

  • Koutmos, G., & Booth, G. G. (1995). Asymmetric volatility transmission in international stock markets. Journal of International Money and Finance, 14(6), 747-762.

  • Kumar, A. (2015). Impact of Currency Futures on Volatility in Exchange Rate: A Study of Indian Currency Market. Paradigm, 19(1), 95-108.

  • Li, Y., & Giles, D. E. (2015). Modelling volatility spillover effects between developed stock markets and asian emerging stock markets. International Journal of Finance & Economics, 20(2), 155-177.

  • Ling, S. and McAleer, M. (2003). Asymptotic theory for a vector ARMA-GARCH model. Econometric Theory, 19, 278-308.

  • Liu, C. (2016). Spillover Effects in Major Equity Markets: A GARCH BEKK Approach. Open Access Library Journal, 3(02), 1-21.

  • Mahajan, S. (2014). Global Financial Crisis and Dynamics of Indian Stock Market. Abhigyan, 31(1), 41-54.

  • Malik, F., Ewing, B., 2009. Volatility transmission between oil prices and equity sector returns. International Review of Financial Analysis. 18, 95–100.

  • Mensi, W., Hammoudeh, S., Reboredo, J. C., & Nguyen, D. K. (2014). Do global factors impact BRICS stock markets? A quantile regression approach. Emerging Markets Review, 19, 1-17.

  • Mittal, S., & Kumar, A. (2016). Modelling volatility in Indian currency market. International Journal of Bonds and Derivatives, 2(1), 40-58.

  • Miyakoshi, T. (2003). Spillovers of stock return volatility to Asian equity markets from Japan and the US. Journal of International Financial Markets, Institutions and Money, 13(4), 383-399.

  • Mukherjee, K., & Mishra, R. K. (2010). Stock market integration and volatility spillover: India and its major Asian counterparts. Research in International Business and Finance, 24(2), 235-251.

  • Nazlioglu, S., Erdem, C., & Soytas, U. (2013). Volatility spillover between oil and agricultural commodity markets. Energy Economics, 36, 658-665.

  • Ng, A. (2000). Volatility Spillover Effects from Japan and the US to the Pacific Basin. Journal of International Money and Finance, 19, 207-233.

  • Padhi, P., & Lagesh, M. A. (2012). Volatility spillover and time-varying correlation among the Indian, Asian and US stock markets. Journal of Quantitative Economics, 10(2), 78-90.

  • Panagiotidis, T., Pelloni, G., & Polasek, W. (2003). Macroeconomic effects of reallocation shocks: a generalised impulse response function analysis for three European countries. Journal of Economic Integration, 794-816.

  • Ruan, L. (2018). Research on Sustainable Development of the Stock Market Based on VIX Index. Sustainability, 10(11), 4113.

  • Salma, J. (2015). Shock, Return and Volatility Spillovers among the US, Japan and European Monetary Union Stock Markets. Global Journal of Management and Business Research, 15(10), 20-27.

  • Samarakoon, P. L. (2011). Stock market interdependence, contagion, and the U.S financial crisis: The case of emerging and frontier markets. International Financial Markets, Institutions and Money 21(5), 724–742.

  • Scheicher, M. (2001). The Comovements of Stock Markets in Hungary, Poland and the Czech Republic. International Journal of Finance and Economics, 6, 27–39.

  • Singh, N.P. (2012). Effect of Subprime Crisis on the Efficiency of Indian Stock Market - An Empirical Study. Abhigyan, 29(4), 11-23.

  • Singh, A., & Kaur, P. (2016). Do BRIC Countries’ Equity Markets Co-Move in Long Run? Theoretical Economics Letters, 6(2), 119-130.

  • Susmel, R., & Engle, R. F. (1994). Hourly volatility spillovers between international equity markets. Journal of International Money and Finance, 13(1), 3-25.

  • Syllignakis, M. N., & Kouretas, G. P. (2011). Dynamic correlation analysis of financial contagion: Evidence from the Central and Eastern European markets. International Review of Economics & Finance, 20(4), 717-732.

  • Syriopoulos, T. (2007). Dynamic linkages between emerging European and developed stock markets: Has the EMU any impact? International Review of Financial Analysis, 16(1), 41-60.

  • Syriopoulos, T., Makram, B., & Boubaker, A. (2015). Stock market volatility spillovers and portfolio hedging: BRICS and the financial crisis. International Review of Financial Analysis, 39, 7-18.

  • Talwar, S. (2015). Evolving Equity Market Interdependencies: Evidence from Emerging Markets. International Journal of Economics and Finance, 7(8), 38.

  • Talwar, S. (2016). Dynamic Forecasting: Efficacy of Rolling Symmetric and Asymmetric GARCH Models. South Asian Journal of Management, 23 (3), 102.

  • Theodossiou, P., & Lee, U. (1993). Mean and volatility spillovers across major national stock markets: Further empirical evidence. Journal of Financial Research, 16(4), 337-350.

  • Tuan, T. K., Hwa, Y. S., Chua, S. Y., & Lean, H. H. (2015). Do Indian Economic Activities Impact ASEAN-5 Stock Markets? Journal Ekonomi Malaysia, 49(2), 61-76.

  • Wang, L. (2014). Who moves East Asian stock markets? The role of the 2007–2009 global financial crises. Journal of International Financial Markets, Institutions and Money, 28, 182-203.

  • Wang, P., & Wang, P. (2010). Price and volatility spillovers between the Greater China Markets and the developed markets of US and Japan. Global Finance Journal, 21(3), 304-317.

  • Wong, W. K., Agarwal, A., & Du, J. (2004). Financial integration for India stock market: A fractional co-integration approach. Finance India, 18(4), 1581.

  • Worthington, A., Kay-Spratley, A., & Higgs, H. (2005). Transmission of prices and price volatility in Australian electricity spot markets: a multivariate GARCH analysis. Energy Economics, 27(2), 337-350.

  • Xiao, L., & Dhesi, G. (2010). Volatility spillover and time-varying conditional correlation between the European and US stock markets. Global Economy and Finance Journal, 3(2), 148-164.

  • Yang, D. & Zhang, Q. (2000). Drift Independent Volatility Estimation based on High, Low, Open and Close Prices. Journal of Business, 73, 477-492.

  • Yang, L., & Hamori, S. (2013). Dependence structure among international stock markets: a GARCH–copula analysis. Applied Financial Economics, 23(23), 1805-1817.

  • Yilmaz, K. (2010). Return and volatility spillovers among the East Asian equity markets. Journal of Asian Economics, 21(3), 304-313.

  • Zhou, X., Zhang, W., & Zhang, J. (2012). Volatility spillovers between the Chinese and world equity markets. Pacific-Basin Finance Journal, 20(2), 247-270.


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  • Shock and Volatility Spillovers between Stock Markets of India and Select Asian Economies

Abstract Views: 358  |  PDF Views: 165

Authors

Ashish Kumar
Assistant Professor (Finance), University School of Management Studies, Guru Gobind Singh Indraprastha University, Dwarka, New Delhi, India

Abstract


Flow of information and volatility coming from stock markets of other countries have significant impact on the stock market of a country. Volatility is even higher in the case the countries enjoy good economic conditions among themselves. The present manuscript aims to probe into the spread of impacts over a large range of returns and volatility in four major equity markets of Asia viz. India, China, Hongkong and Japan for a period of 18 years ranging from 2000 to 2017. The study uses VAR based GARCH model to determine the volatility spillover among the chosen countries for the period under assessment. The empirical outcomes of the study present that all selected markets have responded to their own lag of conditional volatility along with news shocks. The impact of conditional variance is higher in comparison to shocks which is an indication that markets fundamentals are stronger than corrections or shocks. The results of cross country spillover show that volatility of Shanghai Stock Exchange of China and shocks from Japan and Hongkong markets assert a significant effect over volatility of Indian equity market. Volatility of stock markets of Japan and China is not affected by the cross market volatility and shocks spillover from India. In contrast, volatility of Hongkong market is affected by shocks and volatility of Indian equity markets. Findings of the research have meaningful insights for the Governments and regulators, academicians, researchers, investors and fund managers in framing investment strategies in the chosen markets.

Keywords


Return, Volatility Spillovers, VAR, GARCH, Stock Markets.

References





DOI: https://doi.org/10.20968/rpm%2F2019%2Fv17%2Fi1%2F145649