Time-Varying Causalities in Prices and Volatilities between the Cross-Listed Stocks in Chinese Mainland and Hong Kong Stock Markets

被引:5
|
作者
Lu, Xunfa [1 ]
Ye, Zhitao [1 ]
Lai, Kin Keung [2 ]
Cui, Hairong [1 ]
Lin, Xiao [3 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Management Sci & Engn, Nanjing 210044, Peoples R China
[2] Shaanxi Normal Univ, Int Business Sch, Xian 710062, Peoples R China
[3] Inforesight Investment Ltd, Shenzhen 518060, Peoples R China
基金
中国国家自然科学基金;
关键词
AH stocks; time-varying causality; recursive evolving window algorithm; LA-VAR; FINANCIAL DEVELOPMENT; ECONOMIC-GROWTH; DISCOVERY; COINTEGRATION; LIBERALIZATION; IMPACT; POLICY; MONEY; GOLD; OIL;
D O I
10.3390/math10040571
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Due to the heterogeneity of investor structure between the Chinese mainland stock market (A-share market) and the Hong Kong stock market (H-share market) as well as the limitations on arbitrage activities, most cross-listed stocks in the two markets (AH stocks) have the characteristics of "one asset, two prices", in which AH stocks with the same vote rights and dividend streams are traded at different prices in different markets. Based on the VAR (LA-VAR as well) model and a four-variable system including AH stock indices (AHXA, AHXH), the China Securities Index 300 (CSI 300), and the Hang Seng Index (HSI), this paper applies a new time-varying causality test to examine the causalities in prices and volatilities for two pairings (AXHA-AHXH pairing and CSI 300-HSI pairing) during the sample period spanning from 4 January 2010 to 21 May 2021. The empirical results exhibit statistically significant time-varying causalities of the two pairings. Specifically, at the price level, AHXH has a significant negative causal effect on AHXA from October 2017 to February 2020 except for several months in 2018, while AHXA merely has a negative impact on AHXA during a short period from March 2017 to May 2017. Of note, the direction of causalities in volatilities between AHXA and AHXH reverses. A positive causality is found from AHXA to AHXH at the 5% significance level during the period of April 2014 through May 2021, while no causality is detected in the opposite direction during the whole sample period. Meanwhile, the volatilities of CSI 300 significantly Granger cause those of HSI over the whole sample period, but not vice versa. Implications of our results are discussed.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Research of Cross-listed stocks' price correlation in the case of Shanghai-Hong Kong Stock Connect program
    Xu, Tiansheng
    Wang, Xiaokang
    Xi, Zongzheng
    Zhang, Jiong
    Gao, Jing
    [J]. PROCEEDINGS OF THE 2017 INTERNATIONAL SEMINAR ON ARTIFICIAL INTELLIGENCE, NETWORKING AND INFORMATION TECHNOLOGY (ANIT 2017), 2017, 150 : 13 - 16
  • [2] Comparing the price of sin: Abnormal returns of cross-listed casino gaming stocks in the Hong Kong and US markets
    Cheung, William Ming Yan
    Lam, Desmond
    [J]. INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT, 2015, 45 : 73 - 76
  • [3] The lead-lag relationship between Chinese mainland and Hong Kong stock markets
    Yuan, Xianghui
    Jin, Liwei
    Lian, Feng
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2021, 574
  • [4] Speculative bubbles in segmented markets: Evidence from Chinese cross-listed stocks
    Pavlidis, Efthymios G.
    Vasilopoulos, Kostas
    [J]. JOURNAL OF INTERNATIONAL MONEY AND FINANCE, 2020, 109
  • [5] VOLATILITIES AND RETURN CO-MOVEMENTS AMONG STOCK MARKETS IN MAINLAND CHINA, HONG KONG, AND THE UNITED STATES
    Hou, Weijie
    Cui, Baisheng
    Song, Yuping
    Chen, Ying
    [J]. SINGAPORE ECONOMIC REVIEW, 2021,
  • [6] Time-Varying Investor Herding in Chinese Stock Markets
    Li, Haiqi
    Liu, Ying
    Park, Sung Y.
    [J]. INTERNATIONAL REVIEW OF FINANCE, 2018, 18 (04) : 717 - 726
  • [7] Do the Shanghai-Hong Kong & Shenzhen-Hong Kong Stock Connect programs enhance co-movement between the Mainland Chinese, Hong Kong, and US stock markets?
    Li, Shuangqi
    Chen, Qi-an
    [J]. INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS, 2021, 26 (02) : 2871 - 2890
  • [8] Do international investors cause stock market spillovers? Comparing responses of cross-listed stocks between accessible and inaccessible markets
    Nishimura, Yusaku
    Tsutsui, Yoshiro
    Hirayama, Kenjiro
    [J]. ECONOMIC MODELLING, 2018, 69 : 237 - 248
  • [9] Asymmetric risk transmission effect of cross-listing stocks between mainland and Hong Kong stock markets based on MF-DCCA method
    Cao, Guangxi
    Zhou, Ling
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 526
  • [10] Asymmetric risk transmission effect of cross-listing stocks between mainland and Hong Kong stock markets based on MF-DCCA method
    Cao, Guangxi
    Zhou, Ling
    [J]. Physica A: Statistical Mechanics and its Applications, 2020, 526