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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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    Cited by:

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    2. Xuechun Zhang & Ruihui Xu & Xue Liu, 2022. "Premiums between Cross‐listed Shares: Determinants and Assessment of Financial Reform Policy Effectiveness," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(3), pages 75-99, May.
    3. Yao, Yinhong & Li, Jingyu & Chen, Wei, 2024. "Multiscale extreme risk spillovers among the Chinese mainland, Hong Kong, and London stock markets: Comparing the impacts of three Stock Connect programs," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1217-1233.
    4. Wan, Xiaoli & Yan, Yuruo & Zeng, Zhixiong, 2020. "Exchange rate regimes and market integration: evidence from the dynamic relations between renminbi onshore and offshore markets," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    5. 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).
    6. Abuzayed, Bana & Al-Fayoumi, Nedal & Bouri, Elie, 2022. "Hedging UK stock portfolios with gold and oil: The impact of Brexit," Resources Policy, Elsevier, vol. 75(C).
    7. 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).
    8. Shi, Yujie & Wang, Liming & Ke, Jian, 2021. "Does the US-China trade war affect co-movements between US and Chinese stock markets?," Research in International Business and Finance, Elsevier, vol. 58(C).
    9. Shi, Yujie, 2022. "What influences stock market co-movements between China and its Asia-Pacific trading partners after the Global Financial Crisis?," Pacific-Basin Finance Journal, Elsevier, vol. 72(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.
    11. 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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