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Asymmetric risk transmission effect of cross-listing stocks between mainland and Hong Kong stock markets based on MF-DCCA method

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  • Cao, Guangxi
  • Zhou, Ling

Abstract

With the implementation of “Shanghai–Hong Kong Stock Connect” and “Shenzhen–Hong Kong Stock Connect,” the mainland and Hong Kong stock markets are becoming more closely linked. Based on the A+H cross-listed A-share and H-share market indices, this study employs asymmetric multifractal cross-correlation methods to analyze the asymmetric cross-correlation between the A-share and H-share markets from diverse perspectives of different ups and downs and various conduction directions with 79 sample stocks from January 1 a=2004 to May 26, 2017. Empirical results show that the A+H shares have long memory in different trends, which is stronger in the downward trend of stock price. It indicates that regardless of which market with A+H shares showing a downward trend are on, driving the future on the local market and the corresponding cross-listed market show a downward trend is easier than driving the rising trend. In addition, a bidirectional risk conduction effect exists between A and H shares, and the A-share market has a strong transmission effect on the H-share market.

Suggested Citation

  • Cao, Guangxi & Zhou, Ling, 2019. "Asymmetric risk transmission effect of cross-listing stocks between mainland and Hong Kong stock markets based on MF-DCCA method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    • Handle: RePEc:eee:phsmap:v:526:y:2019:i:c:s0378437119303413
    DOI: 10.1016/j.physa.2019.03.106
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    Citations

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    Cited by:

    1. Xu, Hao & Li, Songsong, 2023. "What impacts foreign capital flows to China's stock markets? Evidence from financial risk spillover networks," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 559-577.
    2. Zhang, Yue-Jun & Li, Zhao-Chen, 2021. "Forecasting the stock returns of Chinese oil companies: Can investor attention help?," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 531-555.
    3. Wang, Jian & Huang, Menghao & Zhang, Yudong & Kim, Junseok, 2022. "Modification of multifractal analysis based on multiplicative cascade image," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    4. Xunfa Lu & Zhitao Ye & Kin Keung Lai & Hairong Cui & Xiao Lin, 2022. "Time-Varying Causalities in Prices and Volatilities between the Cross-Listed Stocks in Chinese Mainland and Hong Kong Stock Markets," Mathematics, MDPI, vol. 10(4), pages 1-19, February.
    5. Yao, Can-Zhong & Mo, Yi-Na & Zhang, Ze-Kun, 2021. "A study of the efficiency of the Chinese clean energy stock market and its correlation with the crude oil market based on an asymmetric multifractal scaling behavior analysis," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).

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