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Regulatory changes, market integration and spillover effects in the Chinese A, B and Hong Kong equity markets

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  • Chen, Jing
  • Buckland, Roger
  • Williams, Julian

Abstract

We document the changes in dynamic stochastic structure of the various industrial sectors of the Chinese A, B and the Hong Kong share markets. We utilize a robustly estimated vector error correction model with multivariate generalized autoregressive conditionally heteroscedasticity (VECM-MV-GARCH) model to test for possible cointegrating vectors between the market segmentations pre and post deregulation of the Chinese B share market. Our results suggest that before deregulation there is weak evidence of cointegration between the A and B share markets. However, post deregulation the situation changes and the segments appear to be significantly cointegrated. MV-GARCH results suggest that the conditional correlations of market/sector shocks also increase significantly over the sample period.

Suggested Citation

  • Chen, Jing & Buckland, Roger & Williams, Julian, 2011. "Regulatory changes, market integration and spillover effects in the Chinese A, B and Hong Kong equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 19(4), pages 351-373, September.
  • Handle: RePEc:eee:pacfin:v:19:y:2011:i:4:p:351-373
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    2. Chen, Jing & Dong, Yizhe & Hou, Wenxuan & McMillan, David G., 2018. "Does feedback trading drive returns of cross-listed shares?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 53(C), pages 179-199.
    3. Chen, Mei-Ping & Chen, Pei-Fen & Lee, Chien-Chiang, 2014. "Frontier stock market integration and the global financial crisis," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 84-103.
    4. Fuinhas, José Alberto & Marques, António Cardoso & Nogueira, David Coito, 2014. "Análise VAR dos índices bolsistas SP500, FTSE100, PSI20, HSI e IBOVESPA [Integration of the indexes SP500, FTSE100, PSI20, HSI and IBOVESPA: A VAR approach]," MPRA Paper 62092, University Library of Munich, Germany, revised 10 Feb 2015.
    5. Jing Chen & David G. McMillan & Mike Buckle, 2018. "Information Transmission across European Equity Markets During Crisis Periods," Manchester School, University of Manchester, vol. 86(6), pages 770-788, December.
    6. Hou, Ai Jun, 2013. "Asymmetry effects of shocks in Chinese stock markets volatility: A generalized additive nonparametric approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 12-32.
    7. Kin‐Yip Ho & Zhaoyong Zhang, 2012. "Dynamic Linkages among Financial Markets in the Greater China Region: A Multivariate Asymmetric Approach," The World Economy, Wiley Blackwell, vol. 35(4), pages 500-523, April.
    8. Paul De Grauwe & Zhaoyong Zhang & Kin-Yip Ho & Yanlin Shi & Zhaoyong Zhang, 2016. "It takes two to tango: A regime-switching analysis of the correlation dynamics between the mainland Chinese and Hong Kong stock markets," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(1), pages 41-65, February.
    9. Chung, Chien-Ping & Liao, Tzu-Hsiang & Lee, Hsiu-Chuan, 2021. "Volatility spillovers of A- and B-shares for the Chinese stock market and its impact on the Chinese index returns," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).

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