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Volatility Modelling and Dynamic Linkages between Pakistani and Leading Foreign Stock Markets: A Multivariate GARCH Analysis

Author

Listed:
  • Ghulam Ghouse

    (Pakistan Institute of Development Economics, Islamabad)

  • Saud Ahmed Khan

    (Pakistan Institute of Development Economics, Islamabad)

  • Muhammad Arshad

    (Government Commerce College, Faisalabad.)

Abstract

It is essential for financial institutions and academicians to understand volatility spillover and financial market returns. However, previous studies examined the effects of direct spillover only and ignored those of the newly emerging stock markets. Therefore, this study attempts to estimate the time-varying volatility of Pakistani and leading foreign stock markets. It also tries to explore the direct and indirect volatility spillover effect between Pakistani and eight leading foreign stock markets. Daily data were used from nine international equity markets (KSE 100, NIKKEI 225, HIS, S&P 500, NASDAQ 100, DOW JONES, GADXI, FTSE 350 and DFMGI) for the period between 2005 and 2016. The univariate GARCH and GJR models were employed for analysing volatility, and the multivariate GARCH Diagonal BEKK model was used to explore direct and indirect volatility spillover effects. In order to analyse the volatility spillover effect during and after the global financial crisis period, the data were categorised into two periods: between 2005 and 2009 and between 2010 and 2016. The Chow break-point test was also employed to identify structural breaks in return series due to global financial crises. Direct and indirect spillover effects were found between KSE100, S&P 500, NASDAQ 100, DOW JONES and DFMGI.

Suggested Citation

  • Ghulam Ghouse & Saud Ahmed Khan & Muhammad Arshad, 2019. "Volatility Modelling and Dynamic Linkages between Pakistani and Leading Foreign Stock Markets: A Multivariate GARCH Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 58(3), pages 265-282.
    • Handle: RePEc:pid:journl:v:58:y:2019:i:3:p:265-282
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    References listed on IDEAS

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    1. Lutuf Ali Phulpoto & Aisha Bashir Shah & Faiz Muhammad Shaikh, 2012. "Global Financial Crises and its Impact on Banking Sector in Pakistan," Journal of Asian Business Strategy, Asian Economic and Social Society, vol. 2(6), pages 142-152.
    2. Muhammad Umar Draz, 2011. "Impact Of Financial Crises On Pakistan And China: A Comparative Study Of Six Decades," Journal of Global Business and Economics, Global Research Agency, vol. 3(1), pages 174-186, July.
    3. David G. Mayes & Peter J. Morgan, 2012. "The Global Financial Crisis and its Implications for Financial Sector Reform and Regulation in Asia," Chapters, in: Masahiro Kawai & David G. Mayes & Peter Morgan (ed.), Implications of the Global Financial Crisis for Financial Reform and Regulation in Asia, chapter 1, Edward Elgar Publishing.
    4. Frederic S. Mishkin, 2011. "Over the Cliff: From the Subprime to the Global Financial Crisis," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 49-70, Winter.
    5. Rashid Amjad & Musleh ud Din, 2010. "Economic and Social Impact of Global Financial Crisis: Implications for Macroeconomic and Development Policies in South Asia," PIDE Monograph Series 2010:1, Pakistan Institute of Development Economics.
    6. Yanan Li & David E. Giles, 2015. "Modelling Volatility Spillover Effects Between Developed Stock Markets and Asian Emerging Stock Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 20(2), pages 155-177, March.
    7. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    8. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    9. Zafar Iqbal & Abdus Sattar, 2005. "The Contribution of Workers’Remittances to Economic Growth in Pakistan," PIDE-Working Papers 2005:187, Pakistan Institute of Development Economics.
    10. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-131, February.
    11. 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.
    12. Masahiro Kawai & David G. Mayes & Peter Morgan (ed.), 2012. "Implications of the Global Financial Crisis for Financial Reform and Regulation in Asia," Books, Edward Elgar Publishing, number 14483.
    13. Dr. Ibrahim Onour, "undated". "The Global Financial Crisis and Equity Markets in Middle East Oil Exporting Countries," API-Working Paper Series 1009, Arab Planning Institute - Kuwait, Information Center.
    14. Zohaib Aziz & Javed Iqbal, 2017. "Testing the Dynamic Linkages of the Pakistani Stock Market with Regional and Global Markets," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 22(2), pages 89-116, July-Dec.
    15. Abdul Wahid & Muhammad Zubair Mumtaz, 2018. "The Paradigm Shift in the Pakistan Stock Exchange’s Financial Integration Post-FTA and CPEC," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 23(1), pages 21-50, Jan-June.
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    3. Ghulam Ghouse & Aribah Aslam & Muhammad Ishaq Bhatti, 2021. "Role of Islamic Banking during COVID-19 on Political and Financial Events: Application of Impulse Indicator Saturation," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    4. Ghouse, Ghulam & Bhatti, Muhammad Ishaq & Aslam, Aribah & Ahmad, Nawaz, 2023. "Asymmetric spillover effects of Covid-19 on the performance of the Islamic finance industry: A wave analysis and forecasting," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).

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