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Inclusions and Exclusions of Stocks in Cross-Border Investments: The Case of Stock Connect

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  • Kin Ming Wong

    (Hong Kong Baptist University)

  • Kwok Ping Tsang

    (Virginia Tech)

Abstract

How does the market react when more or fewer investors are allowed to trade certain stocks? Stock Connect, a cross-border investment channel between mainland China and Hong Kong, provides a natural testing ground. Investors are allowed to trade a list of qualified stocks from the stock market on the other side, and when a stock is removed from the list, investors can only sell but cannot buy that stock. We find that the inclusion of stocks is correlated with abnormal returns, implying downward-sloping demand curves for stocks. The effect weakens over time and disappears in about 40 trading days. There are no abnormal returns when stocks are removed from the list. On the other hand, when investors can only sell some stocks, they have a significantly higher propensity to sell. Their trading style becomes more contrarian for such stocks, and they tend to trade in small amounts. After 6 months, their investment behavior returns to that before the removal.

Suggested Citation

  • 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.
    • Handle: RePEc:kap:apfinm:v:30:y:2023:i:4:d:10.1007_s10690-022-09395-3
    DOI: 10.1007/s10690-022-09395-3
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    as
    1. Ng, Lilian & Wu, Fei, 2007. "The trading behavior of institutions and individuals in Chinese equity markets," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2695-2710, September.
    2. Petajisto, Antti, 2009. "Why Do Demand Curves for Stocks Slope Down?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(5), pages 1013-1044, October.
    3. repec:bla:jfinan:v:59:y:2004:i:4:p:1901-1930 is not listed on IDEAS
    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. Kenneth R. Ahern, 2014. "Do Common Stocks Have Perfect Substitutes? Product Market Competition and the Elasticity of Demand for Stocks," The Review of Economics and Statistics, MIT Press, vol. 96(4), pages 756-766, October.
    6. 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.
    7. Ernest N. Biktimirov & Arnold R. Cowan & Bradford D. Jordan, 2004. "Do Demand Curves for Small Stocks Slope Down?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 27(2), pages 161-178, June.
    8. 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.
    9. 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).
    10. Jeffrey Wurgler & Ekaterina Zhuravskaya, 2002. "Does Arbitrage Flatten Demand Curves for Stocks?," The Journal of Business, University of Chicago Press, vol. 75(4), pages 583-608, October.
    11. Robert Neumann & Torben Voetmann, 2003. "Demand Curves for European Stocks Slope Down Too," Review of Finance, Springer, vol. 7(3), pages 437-457.
    12. Yang, Liuyong & Wang, Beibei & Luo, Deming, 2022. "Corporate social responsibility in market liberalization: Evidence from Shanghai-Hong Kong Stock Connect," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    13. 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).
    14. Liu, Clark & Wang, Shujing & Wei, K.C. John, 2021. "Demand shock, speculative beta, and asset prices: Evidence from the Shanghai-Hong Kong Stock Connect program," Journal of Banking & Finance, Elsevier, vol. 126(C).
    15. Scholes, Myron S, 1972. "The Market for Securities: Substitution versus Price Pressure and the Effects of Information on Share Prices," The Journal of Business, University of Chicago Press, vol. 45(2), pages 179-211, April.
    16. Greenwood, Robin, 2005. "Short- and long-term demand curves for stocks: theory and evidence on the dynamics of arbitrage," Journal of Financial Economics, Elsevier, vol. 75(3), pages 607-649, March.
    17. Cary Frydman & Nicholas Barberis & Colin Camerer & Peter Bossaerts & Antonio Rangel, 2014. "Using Neural Data to Test a Theory of Investor Behavior: An Application to Realization Utility," Journal of Finance, American Finance Association, vol. 69(2), pages 907-946, April.
    18. Dahlquist, Magnus & Robertsson, Goran, 2004. "A note on foreigners' trading and price effects across firms," Journal of Banking & Finance, Elsevier, vol. 28(3), pages 615-632, March.
    19. Merton, Robert C, 1987. "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    20. Shuangqi Li & Qi‐an Chen, 2021. "Do the Shanghai–Hong Kong & Shenzhen–Hong Kong Stock Connect programs enhance co‐movement between the Mainland Chinese, Hong Kong, and U.S. stock markets?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2871-2890, April.
    21. Cary Frydman & Colin Camerer, 2016. "Neural Evidence of Regret and Its Implications for Investor Behavior," The Review of Financial Studies, Society for Financial Studies, vol. 29(11), pages 3108-3139.
    22. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    23. Wang, Shuxun, 2021. "How does stock market liberalization influence corporate innovation? Evidence from Stock Connect scheme in China," Emerging Markets Review, Elsevier, vol. 47(C).
    24. Xiong, Lingyun & Deng, Hui & Xiao, Lijuan, 2021. "Does stock market liberalization mitigate litigation risk? Evidence from Stock Connect in China," Economic Modelling, Elsevier, vol. 102(C).
    25. Aditya Kaul & Vikas Mehrotra & Randall Morck, 2000. "Demand Curves for Stocks Do Slope Down: New Evidence from an Index Weights Adjustment," Journal of Finance, American Finance Association, vol. 55(2), pages 893-912, April.
    26. 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.
    27. Shinhua Liu, 2000. "Changes in the Nikkei 500: New Evidence for Downward Sloping Demand Curves for Stocks," International Review of Finance, International Review of Finance Ltd., vol. 1(4), pages 245-267, December.
    28. Ke Xu & Xinwei Zheng & Deng Pan & Li Xing & Xuekui Zhang, 2020. "Stock Market Openness And Market Quality: Evidence From The Shanghai–Hong Kong Stock Connect Program," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 43(2), pages 373-406, May.
    29. Junchang Pan & Jing Chi, 2021. "How Does the Shanghai-Hong Kong Stock Connect Policy Impact the A-H Share Premium?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(7), pages 1912-1928, May.
    30. Jain, Ankit & Tantri, Prasanna & Thirumalai, Ramabhadran S., 2019. "Demand curves for stocks do not slope down: Evidence using an exogenous supply shock," Journal of Banking & Finance, Elsevier, vol. 104(C), pages 19-30.
    31. Shleifer, Andrei, 1986. "Do Demand Curves for Stocks Slope Down?," Journal of Finance, American Finance Association, vol. 41(3), pages 579-590, July.
    32. Grinblatt, Mark & Keloharju, Matti, 2000. "The investment behavior and performance of various investor types: a study of Finland's unique data set," Journal of Financial Economics, Elsevier, vol. 55(1), pages 43-67, January.
    33. Paul Schultz, 2008. "Downward‐Sloping Demand Curves, the Supply of Shares, and the Collapse of Internet Stock Prices," Journal of Finance, American Finance Association, vol. 63(1), pages 351-378, February.
    34. Darrell Duffie, 2010. "Presidential Address: Asset Price Dynamics with Slow‐Moving Capital," Journal of Finance, American Finance Association, vol. 65(4), pages 1237-1267, August.
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    More about this item

    Keywords

    Cross-border investment; Demand curves for stocks; Slow moving capital; Stock connect;
    All these keywords.

    JEL classification:

    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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