IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v574y2021ics0378437121002715.html
   My bibliography  Save this article

The lead–lag relationship between Chinese mainland and Hong Kong stock markets

Author

Listed:
  • Yuan, Xianghui
  • Jin, Liwei
  • Lian, Feng

Abstract

With the integration of international financial markets, the links between stock markets have become closer. Firstly, based on one-minute high-frequency returns, this paper applies the thermal optimal path (TOP) method to examine the lead–lag dependence between CSI 300 index and HSI index from 2016 to 2020. Secondly, regression analysis and correlation test are applied to cross-verify the results of TOP method. Finally, the robustness is tested through analysis with different T values and various market conditions as well as the replacing of proxy variable. The empirical results show that Hong Kong stock leads Chinese mainland stock for about one minute, and this leading effect is magnified when the stock markets fall. The experimental result is robust and has passed consistency test. This research is of great significance that not only guides investors, but also provides empirical evidence and effective information for policy makers.

Suggested Citation

  • Yuan, Xianghui & Jin, Liwei & Lian, Feng, 2021. "The lead–lag relationship between Chinese mainland and Hong Kong stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
  • Handle: RePEc:eee:phsmap:v:574:y:2021:i:c:s0378437121002715
    DOI: 10.1016/j.physa.2021.125999
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437121002715
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2021.125999?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Donghua Wang & Jingqing Tu & Xiaohui Chang & Saiping Li, 2017. "The lead–lag relationship between the spot and futures markets in China," Quantitative Finance, Taylor & Francis Journals, vol. 17(9), pages 1447-1456, September.
    3. Zhou, Wei-Xing & Sornette, Didier, 2006. "Non-parametric determination of real-time lag structure between two time series: The "optimal thermal causal path" method with applications to economic data," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 195-224, March.
    4. Ren, Fei & Ji, Shen-Dan & Cai, Mei-Ling & Li, Sai-Ping & Jiang, Xiong-Fei, 2019. "Dynamic lead–lag relationship between stock indices and their derivatives: A comparative study between Chinese mainland, Hong Kong and US stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 709-723.
    5. Kasa, Kenneth, 1992. "Common stochastic trends in international stock markets," Journal of Monetary Economics, Elsevier, vol. 29(1), pages 95-124, February.
    6. Didier Sornette & Wei-Xing Zhou, 2005. "Non-parametric determination of real-time lag structure between two time series: the 'optimal thermal causal path' method," Quantitative Finance, Taylor & Francis Journals, vol. 5(6), pages 577-591.
    7. Bodart, Vincent & Candelon, Bertrand, 2009. "Evidence of interdependence and contagion using a frequency domain framework," Emerging Markets Review, Elsevier, vol. 10(2), pages 140-150, June.
    8. Koutmos, Gregory & Booth, G Geoffrey, 1995. "Asymmetric volatility transmission in international stock markets," Journal of International Money and Finance, Elsevier, vol. 14(6), pages 747-762, December.
    9. Jeon, Bang Nam & Chiang, Thomas C., 1991. "A system of stock prices in world stock exchanges: Common stochastic trends for 1975-1990," Journal of Economics and Business, Elsevier, vol. 43(4), pages 329-338, November.
    10. Jia, Rui-Lin & Wang, Dong-Hua & Tu, Jing-Qing & Li, Sai-Ping, 2016. "Correlation between agricultural markets in dynamic perspective—Evidence from China and the US futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 464(C), pages 83-92.
    11. Chung, Pin J. & Liu, Donald J., 1994. "Common stochastic trends in pacific rim stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 34(3), pages 241-259.
    12. Eun, Cheol S. & Shim, Sangdal, 1989. "International Transmission of Stock Market Movements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(2), pages 241-256, June.
    13. Xu, Hai-Chuan & Zhou, Wei-Xing & Sornette, Didier, 2017. "Time-dependent lead-lag relationship between the onshore and offshore Renminbi exchange rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 49(C), pages 173-183.
    14. Chan, Yue-cheong & John Wei, K. C., 1996. "Political risk and stock price volatility: The case of Hong Kong," Pacific-Basin Finance Journal, Elsevier, vol. 4(2-3), pages 259-275, July.
    15. Zhang, Jia-Bing & Gao, Ya-Chun & Cai, Shi-Min, 2020. "The hierarchical structure of stock market in times of global financial crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    16. Fratzscher, Marcel, 2002. "Financial Market Integration in Europe: On the Effects of EMU on Stock Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 7(3), pages 165-193, July.
    17. Gong, Chen-Chen & Ji, Shen-Dan & Su, Li-Ling & Li, Sai-Ping & Ren, Fei, 2016. "The lead–lag relationship between stock index and stock index futures: A thermal optimal path method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 63-72.
    18. Shigeyuki Hamori & Yuriko Imamura, 2000. "International transmission of stock prices among G7 countries: LA-VAR approach," Applied Economics Letters, Taylor & Francis Journals, vol. 7(9), pages 613-618.
    19. Guo, Kun & Sun, Yi & Qian, Xin, 2017. "Can investor sentiment be used to predict the stock price? Dynamic analysis based on China stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 390-396.
    20. Jian Wang & Junfeng Zhu & Feifei Dou, 2012. "Who Plays the Key Role among Shanghai, Shenzhen and Hong Kong Stock Markets?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 20(6), pages 102-120, November.
    21. Z. Wang & J. Yang & D. A. Bessler, 2003. "Financial crisis and African stock market integration," Applied Economics Letters, Taylor & Francis Journals, vol. 10(9), pages 527-533.
    22. Hamao, Yasushi & Masulis, Ronald W & Ng, Victor, 1990. "Correlations in Price Changes and Volatility across International Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 281-307.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fei Ren & Mei-Ling Cai & Sai-Ping Li & Xiong Xiong & Zhang-HangJian Chen, 2023. "A Multi-market Comparison of the Intraday Lead–Lag Relations Among Stock Index-Based Spot, Futures and Options," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 1-28, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liwei Jin & Xianghui Yuan & Jun Long & Xiang Li & Feng Lian, 2022. "Price discovery in the CSI 300 Index derivatives markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(7), pages 1352-1368, July.
    2. Yang, Yan-Hong & Shao, Ying-Hui, 2020. "Time-dependent lead-lag relationships between the VIX and VIX futures markets," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    3. Yao, Can-Zhong & Li, Hong-Yu, 2020. "Time-varying lead–lag structure between investor sentiment and stock market," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    4. Jeon, Bang Nam & Jang, Beom-Sik, 2004. "The linkage between the US and Korean stock markets: the case of NASDAQ, KOSDAQ, and the semiconductor stocks," Research in International Business and Finance, Elsevier, vol. 18(3), pages 319-340, September.
    5. Hashmi, Aamir R. & Tay, Anthony S., 2007. "Global regional sources of risk in equity markets: Evidence from factor models with time-varying conditional skewness," Journal of International Money and Finance, Elsevier, vol. 26(3), pages 430-453, April.
    6. Masih, Abul M. M. & Masih, Rumi, 1999. "Are Asian stock market fluctuations due mainly to intra-regional contagion effects? Evidence based on Asian emerging stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 7(3-4), pages 251-282, August.
    7. Dorota Witkowska & Krzysztof Kompa & Aleksandra Matuszewska-Janica, 2012. "Analysis of Linkages between Central and Eastern European Capital Markets," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 12, pages 19-34.
    8. Jiang, Tao & Bao, Si & Li, Long, 2019. "The linear and nonlinear lead–lag relationship among three SSE 50 Index markets: The index futures, 50ETF spot and options markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 878-893.
    9. Chen, Gong-meng & Firth, Michael & Meng Rui, Oliver, 2002. "Stock market linkages: Evidence from Latin America," Journal of Banking & Finance, Elsevier, vol. 26(6), pages 1113-1141, June.
    10. Constantinos Katrakilidis & Athanasios Koulakiotis, 2006. "The Impact of Stock Exchange Rules on Volatility and Error Transmission -- The Case of Frankfurt and Zurich Cross-Listed Equities," Annals of Economics and Finance, Society for AEF, vol. 7(2), pages 321-338, November.
    11. Skintzi, Vasiliki D. & Refenes, Apostolos N., 2006. "Volatility spillovers and dynamic correlation in European bond markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(1), pages 23-40, February.
    12. Tsutsui, Yoshiro & Hirayama, Kenjiro, 2004. "Are international portfolio adjustments a cause of comovements in stock prices?," Pacific-Basin Finance Journal, Elsevier, vol. 12(4), pages 463-478, September.
    13. Chen, Cathy W. S. & Chiang, Thomas C. & So, Mike K. P., 2003. "Asymmetrical reaction to US stock-return news: evidence from major stock markets based on a double-threshold model," Journal of Economics and Business, Elsevier, vol. 55(5-6), pages 487-502.
    14. Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2008. "Dynamic Stock Market Interactions between the Canadian, Mexican, and the United States Markets: The NAFTA Experience," Working papers 2008-49, University of Connecticut, Department of Economics.
    15. Athanasios Koulakiotis & Katerina Lyroudi & Nikos Thomaidis & Nicholas Papasyriopoulos, 2010. "The impact of cross‐listings on the UK and the German stock markets," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 27(1), pages 4-18, March.
    16. Suk-Joong Kim, 2018. "The Spillover Effects of US and Japanese Public Information News in Advanced Asia-Pacific Stock Markets," World Scientific Book Chapters, in: Information Spillovers and Market Integration in International Finance Empirical Analyses, chapter 6, pages 175-201, World Scientific Publishing Co. Pte. Ltd..
    17. Rui Menezes & Andreia Dioniso, 2011. "Globalization and long-run co-movements in the stock market for the G7: an application of VECM under structural breaks," Papers 1101.4093, arXiv.org.
    18. Rui Menezes, 2013. "Globalization and Granger Causality in International Stock Markets," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 3(1), pages 413-413.
    19. Serda Selin Öztürk & Engin Volkan, 2015. "Intraindustry Volatility Spillovers in the MENA Region," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(6), pages 1163-1174, November.
    20. Shao, Ying-Hui & Yang, Yan-Hong & Zhou, Wei-Xing, 2022. "How does economic policy uncertainty comove with stock markets: New evidence from symmetric thermal optimal path method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:574:y:2021:i:c:s0378437121002715. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.