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Common influences, spillover and integration in Chinese stock markets

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  • Weber, Enzo
  • Zhang, Yanqun
Abstract
The Chinese stock market features an interesting history of divided market segments: domestic (A), foreigners' (B) and overseas (H). This puts forth questions of market integration as well as cross-divisional information transmission. We address these issues in a structural DCC framework, an econometric technique capable of identifying common factor in uences from (bi-directional) spillovers as constituents of contemporaneous correlations. We find initial dominance of transmission from A to B and to a lesser extent from H to B and A to H. However, since the opening of the B-market for Chinese citizens in 2001, common factors have largely replaced direct spillovers.

Suggested Citation

  • Weber, Enzo & Zhang, Yanqun, 2008. "Common influences, spillover and integration in Chinese stock markets," SFB 649 Discussion Papers 2008-072, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  • Handle: RePEc:zbw:sfb649:sfb649dp2008-072
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    References listed on IDEAS

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    Cited by:

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    2. Jung-Bin Su, 2022. "The Research on the Interactions between the Emerging and Developed Markets: From Region and Structural Break Perspectives," Mathematics, MDPI, vol. 10(8), pages 1-38, April.
    3. Tsuji, Chikashi, 2020. "Correlation and spillover effects between the US and international banking sectors: New evidence and implications for risk management," International Review of Financial Analysis, Elsevier, vol. 70(C).
    4. Wang, Gang-Jin & Xie, Chi & Jiang, Zhi-Qiang & Eugene Stanley, H., 2016. "Who are the net senders and recipients of volatility spillovers in China’s financial markets?," Finance Research Letters, Elsevier, vol. 18(C), pages 255-262.
    5. Kinkyo, Takuji, 2021. "Region-wide connectedness of Asian equity and currency markets," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    6. Hanauer, Matthias X. & Jansen, Maarten & Swinkels, Laurens & Zhou, Weili, 2024. "Factor models for Chinese A-shares," International Review of Financial Analysis, Elsevier, vol. 91(C).
    7. Ciarreta Antuñano, Aitor & Zárraga Alonso, Ainhoa, 2012. "Analysis of volatility transmissions in integrated and interconnected markets: The case of the Iberian and French markets," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    8. Hadhri, Sinda, 2024. "The role of migration fear in (dis)connecting stock markets," Finance Research Letters, Elsevier, vol. 61(C).
    9. Younis, Ijaz & Gupta, Himani & Du, Anna Min & Shah, Waheed Ullah & Hanif, Waqas, 2024. "Spillover dynamics in DeFi, G7 banks, and equity markets during global crises: A TVP-VAR analysis," Research in International Business and Finance, Elsevier, vol. 70(PB).
    10. 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.
    11. Muhammad Niaz Khan & Suzanne G. M. Fifield & Nongnuch Tantisantiwong & David M. Power, 2022. "Changes in co-movement and risk transmission between South Asian stock markets amidst the development of regional co-operation," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(1), pages 87-117, March.
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    More about this item

    Keywords

    China; stock market; integration; causality; correlation;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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