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The Effect of Spillover on Volatility Forecasting: An Empirical Study in Indian Stock Market

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  • Madhusudan Karmakar
  • Girja Kant Shukla

Abstract

In this article, we have investigated whether the precision of one-step-ahead forecast of the market volatility can be improved by incorporating the spillover effect of other markets. For this, we have used the MGARCH model and shown empirically that if the group of markets is chosen judiciously so as to avoid multicollinearity, then it is indeed possible to obtain better forecasts. For this purpose, we have employed a BEKK parameterization of MGARCH models on the daily data of 10 sectors of the Bombay Stock Exchange (BSE).

Suggested Citation

  • Madhusudan Karmakar & Girja Kant Shukla, 2016. "The Effect of Spillover on Volatility Forecasting: An Empirical Study in Indian Stock Market," Metamorphosis: A Journal of Management Research, , vol. 15(1), pages 20-30, June.
    • Handle: RePEc:sae:metjou:v:15:y:2016:i:1:p:20-30
    DOI: 10.1177/0972622516629030
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    References listed on IDEAS

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    1. Engle, Robert F & Ito, Takatoshi & Lin, Wen-Ling, 1990. "Meteor Showers or Heat Waves? Heteroskedastic Intra-daily Volatility in the Foreign Exchange Market," Econometrica, Econometric Society, vol. 58(3), pages 525-542, May.
    2. Bollerslev, Tim & Ghysels, Eric, 1996. "Periodic Autoregressive Conditional Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(2), pages 139-151, April.
    3. Wang, Zijun & Kutan, Ali M. & Yang, Jian, 2005. "Information flows within and across sectors in Chinese stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 767-780, September.
    4. Pagan, Adrian R. & Schwert, G. William, 1990. "Alternative models for conditional stock volatility," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 267-290.
    5. Lin, Wen-Ling & Engle, Robert F & Ito, Takatoshi, 1994. "Do Bulls and Bears Move across Borders? International Transmission of Stock Returns and Volatility," Review of Financial Studies, Society for Financial Studies, vol. 7(3), pages 507-538.
    6. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    7. Bubák, Vít & Kocenda, Evzen & Zikes, Filip, 2011. "Volatility transmission in emerging European foreign exchange markets," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2829-2841, November.
    8. Malik, Farooq & Ewing, Bradley T., 2009. "Volatility transmission between oil prices and equity sector returns," International Review of Financial Analysis, Elsevier, vol. 18(3), pages 95-100, June.
    9. Karmakar, Madhusudan, 2010. "Information transmission between small and large stocks in the National Stock Exchange in India: An empirical study," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(1), pages 110-120, February.
    10. Koutmos, Gregory & Booth, G Geoffrey, 1995. "Asymmetric volatility transmission in international stock markets," Journal of International Money and Finance, Elsevier, vol. 14(6), pages 747-762, December.
    11. Booth, G. Geoffrey & Martikainen, Teppo & Tse, Yiuman, 1997. "Price and volatility spillovers in Scandinavian stock markets," Journal of Banking & Finance, Elsevier, vol. 21(6), pages 811-823, June.
    12. Hassan, Syed Aun & Malik, Farooq, 2007. "Multivariate GARCH modeling of sector volatility transmission," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(3), pages 470-480, July.
    13. Lopez, Jose A, 2001. "Evaluating the Predictive Accuracy of Volatility Models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(2), pages 87-109, March.
    14. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    15. Christofi, A. & Pericli, A., 1999. "Correlation in price changes and volatility of major Latin American stock markets," Journal of Multinational Financial Management, Elsevier, vol. 9(1), pages 79-93, January.
    16. Chan, Kalok & Chan, K C & Karolyi, G Andrew, 1991. "Intraday Volatility in the Stock Index and Stock Index Futures Markets," Review of Financial Studies, Society for Financial Studies, vol. 4(4), pages 657-684.
    17. Barry Harrison & Winston Moore, 2009. "Spillover effects from London and Frankfurt to Central and Eastern European stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 19(18), pages 1509-1521.
    18. Hamao, Yasushi & Masulis, Ronald W & Ng, Victor, 1990. "Correlations in Price Changes and Volatility across International Stock Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 281-307.
    19. Ser-Huang Poon & Clive W.J. Granger, 2003. "Forecasting Volatility in Financial Markets: A Review," Journal of Economic Literature, American Economic Association, vol. 41(2), pages 478-539, June.
    20. Huang, Bwo-Nung & Yang, Chin-Wei & Hu, John Wei-Shan, 2000. "Causality and cointegration of stock markets among the United States, Japan and the South China Growth Triangle," International Review of Financial Analysis, Elsevier, vol. 9(3), pages 281-297.
    21. Ross, Stephen A, 1989. " Information and Volatility: The No-Arbitrage Martingale Approach to Timing and Resolution Irrelevancy," Journal of Finance, American Finance Association, vol. 44(1), pages 1-17, March.
    22. Li, Hong & Majerowska, Ewa, 2008. "Testing stock market linkages for Poland and Hungary: A multivariate GARCH approach," Research in International Business and Finance, Elsevier, vol. 22(3), pages 247-266, September.
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