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Who benefits more? Shanghai-Hong Kong stock Connect—“Through Train”

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  • Wu, Ming
  • Ohk, Ki Yool

Abstract

This study investigates the impact of the introduction of the Shanghai-Hong Kong Stock Connect (SHSC) program on the market quality in the Shanghai A-shares and Hong Kong Main Board shares markets. This study employs the difference-in-difference (DID) approach to examine whether the market quality of constituent stocks increases relative to that of non-constituent stocks after the launch of the new SHSC program. Surprisingly, we find that market quality, as reflected by the market illiquidity and market volatility measures of constituent stocks, is worse than that of non-constituent stocks after the launch of the SHSC program in the Shanghai A-shares market. However, the differences in market quality between constituent and non-constituent stocks gradually diminish over time. In contrast, no significant market quality effects generally occur in the Hong Kong Main Board shares market. We support this interesting finding by showing that different herding behavior exists in the two connected stock markets after implementation of the new program. Namely, the herding behavior of constituent stocks is more severe than that of non-constituent stocks in the Shanghai A-shares market but no apparent herding effects exist in the Hong Kong Main Board shares market.

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  • Wu, Ming & Ohk, Ki Yool, 2023. "Who benefits more? Shanghai-Hong Kong stock Connect—“Through Train”," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 409-427.
  • Handle: RePEc:eee:reveco:v:84:y:2023:i:c:p:409-427
    DOI: 10.1016/j.iref.2022.11.032
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    as
    1. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    2. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W., 1992. "The impact of institutional trading on stock prices," Journal of Financial Economics, Elsevier, vol. 32(1), pages 23-43, August.
    3. Card, David & Krueger, Alan B, 1994. "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania," American Economic Review, American Economic Association, vol. 84(4), pages 772-793, September.
    4. Dutta, Prajit K & Madhavan, Ananth, 1997. "Competition and Collusion in Dealer Markets," Journal of Finance, American Finance Association, vol. 52(1), pages 245-276, March.
    5. 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.
    6. Andersen, Torben G & Bollerslev, Tim, 1998. "Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 885-905, November.
    7. David H. Autor, 2003. "Outsourcing at Will: The Contribution of Unjust Dismissal Doctrine to the Growth of Employment Outsourcing," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 1-42, January.
    8. Li, Xiaoqing & Qiao, Penghua & Zhao, Lin, 2019. "CEO media exposure, political connection and Chinese firms' stock price synchronicity," International Review of Economics & Finance, Elsevier, vol. 63(C), pages 61-75.
    9. Lesmond, David A & Ogden, Joseph P & Trzcinka, Charles A, 1999. "A New Estimate of Transaction Costs," The Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 1113-1141.
    10. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    11. Opschoor, Anne & Taylor, Nick & van der Wel, Michel & van Dijk, Dick, 2014. "Order flow and volatility: An empirical investigation," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 185-201.
    12. Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
    13. Yin, Libo & Liao, Huiyi, 2020. "Firm’s quality increases and the cross-section of stock returns: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 228-243.
    14. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    15. Burdekin, Richard C.K. & Siklos, Pierre L., 2018. "Quantifying the impact of the November 2014 Shanghai-Hong Kong Stock Connect," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 156-163.
    16. Rani Hoitash & Murugappa (Murgie) Krishnan, 2008. "Herding, momentum and investor over-reaction," Review of Quantitative Finance and Accounting, Springer, vol. 30(1), pages 25-47, January.
    17. Hasbrouck, Joel & Saar, Gideon, 2013. "Low-latency trading," Journal of Financial Markets, Elsevier, vol. 16(4), pages 646-679.
    18. Doron Avramov & Tarun Chordia & Amit Goyal, 2006. "Liquidity and Autocorrelations in Individual Stock Returns," Journal of Finance, American Finance Association, vol. 61(5), pages 2365-2394, October.
    19. Zhuo Qiao & Thomas C. Chiang & Lin Tan, 2014. "Empirical Investigation of the Causal Relationships Among Herding, Stock Market Returns, and Illiquidity: Evidence from Major Asian Markets," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 1-27.
    20. Yao, Juan & Ma, Chuanchan & He, William Peng, 2014. "Investor herding behaviour of Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 12-29.
    21. Brogaard, Jonathan & Garriott, Corey, 2019. "High-Frequency Trading Competition," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(4), pages 1469-1497, August.
    22. Yang-Chao Wang & Jui-Jung Tsai & Yi Lin, 2016. "The Influence Of Shanghai-Hong Kong Stock Connect On The Mainland China And Hong Kong Stock Markets," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 10(3), pages 1-10.
    23. McKenzie, David, 2012. "Beyond baseline and follow-up: The case for more T in experiments," Journal of Development Economics, Elsevier, vol. 99(2), pages 210-221.
    24. Michael D. McKenzie & Timothy J. Brailsford & Robert W. Faff, 2001. "New insights into the impact of the introduction of futures trading on stock price volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(3), pages 237-255, March.
    25. Lin, Tiantian & Liu, Dehong & Zhang, Lili & Lung, Peter, 2019. "The information content of realized volatility of sector indices in China’s stock market," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 625-640.
    26. Harris, Lawrence, 1989. " S&P 500 Cash Stock Price Volatilities," Journal of Finance, American Finance Association, vol. 44(5), pages 1155-1175, December.
    27. Shiqing Xie & Taiping Mo, 2014. "Index Futures Trading and Stock Market Volatility in China: A Difference‐in‐Difference Approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(3), pages 282-297, March.
    28. Stoll, Hans R. & Whaley, Robert E., 1983. "Transaction costs and the small firm effect," Journal of Financial Economics, Elsevier, vol. 12(1), pages 57-79, June.
    29. Sung C. Bae & Taek Ho Kwon & Jong Won Park, 2004. "Futures trading, spot market volatility, and market efficiency: The case of the Korean index futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(12), pages 1195-1228, December.
    30. Garman, Mark B & Klass, Michael J, 1980. "On the Estimation of Security Price Volatilities from Historical Data," The Journal of Business, University of Chicago Press, vol. 53(1), pages 67-78, January.
    31. Antonios Antoniou & Phil Holmes & Richard Priestley, 1998. "The effects of stock index futures trading on stock index volatility: An analysis of the asymmetric response of volatility to news," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(2), pages 151-166, April.
    32. Bai, Ye & Chow, Darien Yan Pang, 2017. "Shanghai-Hong Kong Stock Connect: An analysis of Chinese partial stock market liberalization impact on the local and foreign markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 182-203.
    33. Jinghong Shu & Jin E. Zhang, 2006. "Testing range estimators of historical volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(3), pages 297-313, March.
    34. Jegadeesh, Narasimhan & Subrahmanyam, Avanidhar, 1993. "Liquidity Effects of the Introduction of the S&P 500 Index Futures Contract on the Underlying Stocks," The Journal of Business, University of Chicago Press, vol. 66(2), pages 171-187, April.
    35. Zhou, Rhea Tingyu & Lai, Rose Neng, 2009. "Herding and information based trading," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 388-393, June.
    36. Hasbrouck, Joel, 2018. "High-Frequency Quoting: Short-Term Volatility in Bids and Offers," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(2), pages 613-641, April.
    37. Yang, Dennis & Zhang, Qiang, 2000. "Drift-Independent Volatility Estimation Based on High, Low, Open, and Close Prices," The Journal of Business, University of Chicago Press, vol. 73(3), pages 477-491, July.
    38. Joel Hasbrouck, 2009. "Trading Costs and Returns for U.S. Equities: Estimating Effective Costs from Daily Data," Journal of Finance, American Finance Association, vol. 64(3), pages 1445-1477, June.
    39. Huseyin Gulen & Stewart Mayhew, 2000. "Stock index futures trading and volatility in international equity markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 20(7), pages 661-685, August.
    40. Tung-Zong (Donald) Chang & Su-Jane Chen & Hongmei Gu & Aijie Jiang, 2018. "A Market Volatility Analysis of the Shanghai-Hong Kong Stock Connect Program," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 17(2), pages 113-121, September.
    41. Roll, Richard, 1984. "A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market," Journal of Finance, American Finance Association, vol. 39(4), pages 1127-1139, September.
    42. Jorion, Philippe, 1990. "The Exchange-Rate Exposure of U.S. Multinationals," The Journal of Business, University of Chicago Press, vol. 63(3), pages 331-345, July.
    43. Goyenko, Ruslan Y. & Holden, Craig W. & Trzcinka, Charles A., 2009. "Do liquidity measures measure liquidity?," Journal of Financial Economics, Elsevier, vol. 92(2), pages 153-181, May.
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    More about this item

    Keywords

    Shanghai-Hong Kong stock connect; Difference-in-difference method; Sample matching; Market illiquidity; Market volatility; Investor herding behavior;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles

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