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Does Shanghai-Hong Kong Stock Connect drive market comovement between Shanghai and Hong Kong: A new evidence

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  • Ma, Rufei
  • Deng, Chengtao
  • Cai, Huan
  • Zhai, Pengxiang

Abstract

Using DCC, ADCC and GO-GARCH models, this paper examines whether the Shanghai-Hong Kong Stock Connect program drives market comovement between Shanghai and Hong Kong. We distinguish financial liberalization induced market comovement from that induced by other factors through comparing time-varying market correlations of Shanghai-Hong Kong with those of Shenzhen-Hong Kong. The results of the three variants of multivariate GARCH models consistently show that, if we ignore the period of market crash, the market correlation between Shanghai and Hong Kong does not significantly increase after the launch of the program. Furthermore, inconsistent with theoretical prediction, we find that the correlation between Hong Kong and financially non-liberalized Shenzhen market increases much more than that between Hong Kong and financially liberalized Shanghai market in the market turbulence. The results implicate the Shanghai-Hong Kong Stock Connect program is not the main fundamental force that drives market comovement between Shanghai and Hong Kong in the short run. This finding is further supported by the results of optimal hedge ratios and downside risk measures, which hold important risk management implications for investors in these markets.

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  • Ma, Rufei & Deng, Chengtao & Cai, Huan & Zhai, Pengxiang, 2019. "Does Shanghai-Hong Kong Stock Connect drive market comovement between Shanghai and Hong Kong: A new evidence," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    • Handle: RePEc:eee:ecofin:v:50:y:2019:i:c:s1062940818304492
    DOI: 10.1016/j.najef.2019.04.023
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    as
    1. Reboredo, Juan C., 2013. "Is gold a safe haven or a hedge for the US dollar? Implications for risk management," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2665-2676.
    2. Mohamed El Hedi Arouri & Mondher Bellalah & Duc Khuong Nguyen, 2010. "The comovements in international stock markets: new evidence from Latin American emerging countries," Applied Economics Letters, Taylor & Francis Journals, vol. 17(13), pages 1323-1328.
    3. Andrew Ang & Geert Bekaert, 2002. "International Asset Allocation With Regime Shifts," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1137-1187.
    4. Wang, Qiyu & Chong, Terence Tai-Leung, 2018. "Co-integrated or not? After the Shanghai–Hong Kong and Shenzhen–Hong Kong Stock Connection Schemes," Economics Letters, Elsevier, vol. 163(C), pages 167-171.
    5. Weide, R. van der, 2002. "Generalized Orthogonal GARCH. A Multivariate GARCH model," CeNDEF Working Papers 02-02, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    6. Harrold, P., 1992. "China's Reform Experience to Date," World Bank - Discussion Papers 180, World Bank.
    7. Tiwari, Aviral Kumar & Mutascu, Mihai Ioan & Albulescu, Claudiu Tiberiu, 2016. "Continuous wavelet transform and rolling correlation of European stock markets," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 237-256.
    8. Huo, Rui & Ahmed, Abdullahi D., 2017. "Return and volatility spillovers effects: Evaluating the impact of Shanghai-Hong Kong Stock Connect," Economic Modelling, Elsevier, vol. 61(C), pages 260-272.
    9. Brian H. Boyer & Tomomi Kumagai & Kathy Yuan, 2006. "How Do Crises Spread? Evidence from Accessible and Inaccessible Stock Indices," Journal of Finance, American Finance Association, vol. 61(2), pages 957-1003, April.
    10. Lee, Jim, 2006. "The comovement between output and prices: Evidence from a dynamic conditional correlation GARCH model," Economics Letters, Elsevier, vol. 91(1), pages 110-116, April.
    11. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Oxford University Press, vol. 4(4), pages 537-572.
    12. Jiangze Bian & Zhiguo He & Kelly Shue & Hao Zhou, 2018. "Leverage-Induced Fire Sales and Stock Market Crashes," NBER Working Papers 25040, National Bureau of Economic Research, Inc.
    13. Chiang, Thomas C. & Jeon, Bang Nam & Li, Huimin, 2007. "Dynamic correlation analysis of financial contagion: Evidence from Asian markets," Journal of International Money and Finance, Elsevier, vol. 26(7), pages 1206-1228, November.
    14. Lin, Wensheng, 2017. "Modeling volatility linkages between Shanghai and Hong Kong stock markets before and after the connect program," Economic Modelling, Elsevier, vol. 67(C), pages 346-354.
    15. Henriques, Irene & Sadorsky, Perry, 2018. "Investor implications of divesting from fossil fuels," Global Finance Journal, Elsevier, vol. 38(C), pages 30-44.
    16. Bekaert, Geert & Harvey, Campbell R., 1997. "Emerging equity market volatility," Journal of Financial Economics, Elsevier, vol. 43(1), pages 29-77, January.
    17. Michel Beine & Bertrand Candelon, 2011. "Liberalisation and stock market co-movement between emerging economies," Quantitative Finance, Taylor & Francis Journals, vol. 11(2), pages 299-312.
    18. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    19. Ng, Angela, 2000. "Volatility spillover effects from Japan and the US to the Pacific-Basin," Journal of International Money and Finance, Elsevier, vol. 19(2), pages 207-233, April.
    20. Roy van der Weide, 2002. "GO-GARCH: a multivariate generalized orthogonal GARCH model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 549-564.
    21. Christopher Hansman & Harrison Hong & Wenxi Jiang & Yu-Jane Liu & Juan-Juan Meng, 2018. "Effects of Credit Expansions on Stock Market Booms and Busts," NBER Working Papers 24586, National Bureau of Economic Research, Inc.
    22. Basher, Syed Abul & Sadorsky, Perry, 2016. "Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH," Energy Economics, Elsevier, vol. 54(C), pages 235-247.
    23. Ramchand, Latha & Susmel, Raul, 1998. "Volatility and cross correlation across major stock markets," Journal of Empirical Finance, Elsevier, vol. 5(4), pages 397-416, October.
    24. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    25. Aloui, Chaker & Hkiri, Besma, 2014. "Co-movements of GCC emerging stock markets: New evidence from wavelet coherence analysis," Economic Modelling, Elsevier, vol. 36(C), pages 421-431.
    26. Mobarek, Asma & Muradoglu, Gulnur & Mollah, Sabur & Hou, Ai Jun, 2016. "Determinants of time varying co-movements among international stock markets during crisis and non-crisis periods," Journal of Financial Stability, Elsevier, vol. 24(C), pages 1-11.
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    6. Jia, Qiaoyu & Zhou, Jia'nan, 2021. "The dark side of stock market liberalization: Perspectives from corporate R&D activities in China," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
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    8. Yu, Xing & Li, Yanyan & Gong, Xue & Zhang, Nan, 2022. "Evaluating the performance of futures hedging using factors-driven realized volatility," International Review of Financial Analysis, Elsevier, vol. 84(C).
    9. Sha, Yezhou & Zhang, Ping & Wang, Yiru & Xu, Yifan, 2022. "Capital market opening and green innovation——Evidence from Shanghai-Hong Kong stock connect and the Shenzhen-Hong Kong stock connect," Energy Economics, Elsevier, vol. 111(C).
    10. Kin Ming Wong & Kwok Ping Tsang, 2023. "Inclusions and Exclusions of Stocks in Cross-Border Investments: The Case of Stock Connect," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(4), pages 701-727, December.

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