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From Shanghai to Sydney: Chinese stock market influences on Australia

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  • Burdekin, Richard C. K
  • Tao, Ran

Abstract

We examine whether China's growing importance to Australia as both a trade partner and engine of growth has been accompanied by financial market interdependence. We consider effects on the overall Australian market as well as the iron ore sector, which has been accounting for over half of Australia's exports to China in the years since the global financial crisis. Markov-switching analysis yields evidence of the Shanghai Composite being connected not only with the Australian iron ore sector but also the broad market Australian All Ordinaries index. These ties are found to be significant only during low volatility periods, however.

Suggested Citation

  • Burdekin, Richard C. K & Tao, Ran, 2021. "From Shanghai to Sydney: Chinese stock market influences on Australia," Finance Research Letters, Elsevier, vol. 38(C).
    • Handle: RePEc:eee:finlet:v:38:y:2021:i:c:s1544612319301151
    DOI: 10.1016/j.frl.2020.101502
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    References listed on IDEAS

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    1. Richard C. K. Burdekin & Ran Tao, 2020. "Chinese liquidity effects on the Australian macroeconomy, 2002–2017," Applied Economics, Taylor & Francis Journals, vol. 52(18), pages 1973-1985, April.
    2. Thomas C. Chiang & Lanjun Lao & Qingfeng Xue, 2016. "Comovements between Chinese and global stock markets: evidence from aggregate and sectoral data," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1003-1042, November.
    3. Sudharshan Reddy Paramati & Abdulrasheed Zakari & Mallaiah Jalle & Seenaiah Kale & Prasad Begari, 2018. "The dynamic impact of bilateral trade linkages on stock market correlations of Australia and China," Applied Economics Letters, Taylor & Francis Journals, vol. 25(3), pages 141-145, February.
    4. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2015. "Does data frequency matter for the impact of forward premium on spot exchange rate?," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 45-53.
    5. Burdekin, Richard C.K. & Siklos, Pierre L., 2018. "Quantifying the impact of the November 2014 Shanghai-Hong Kong Stock Connect," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 156-163.
    6. Burdekin, Richard C.K. & Siklos, Pierre L., 2012. "Enter the dragon: Interactions between Chinese, US and Asia-Pacific equity markets, 1995–2010," Pacific-Basin Finance Journal, Elsevier, vol. 20(3), pages 521-541.
    7. Khalifa, Ahmed A.A. & Hammoudeh, Shawkat & Otranto, Edoardo, 2014. "Patterns of volatility transmissions within regime switching across GCC and global markets," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 512-524.
    8. Hamilton, James D., 1988. "Rational-expectations econometric analysis of changes in regime : An investigation of the term structure of interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 385-423.
    9. Naijing Huang & Zhigang Huang & Weijia Wang, 2019. "The Dynamic Extreme Co-Movement between Chinese Stock Market and Global Stock Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(14), pages 3241-3257, November.
    10. Paresh Kumar Narayan & Huson Ali Ahmed & Seema Narayan, 2015. "Do Momentum‐Based Trading Strategies Work in the Commodity Futures Markets?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(9), pages 868-891, September.
    11. Hussain, Saiful Izzuan & Li, Steven, 2018. "The dependence structure between Chinese and other major stock markets using extreme values and copulas," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 421-437.
    12. Abdelkader Derbali & Fathi Jouini, 2019. "Analyzing the Dynamic Equicorrelation Between Shanghai Composite (SSEC) and Austral African Stock Market Indices," Chinese Economy, Taylor & Francis Journals, vol. 52(1), pages 83-106, January.
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    Cited by:

    1. Heß, Alexander & Hindermann, Christoph Michael, 2022. "The BRI: Trade integration and stock market synchronization. A review of empirical findings," Discourses in Social Market Economy 2022-3, OrdnungsPolitisches Portal (OPO).
    2. Burdekin, Richard C.K. & Reckers, Dawson & Tao, Ran, 2022. "Quantifying China’s financial reach up through the pandemic: The African experience," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    3. Singh, Amit & Jenamani, Mamata & Thakkar, Jitesh J. & Rana, Nripendra P., 2021. "Propagation of online consumer perceived negativity: Quantifying the effect of supply chain underperformance on passenger car sales," Journal of Business Research, Elsevier, vol. 132(C), pages 102-114.
    4. Chia‐Hsien Tang & Yen‐Hsien Lee & Hung‐Chun Liu & Guan‐Gzhe Zeng, 2024. "Exploring the unpredictable nature of climate policy uncertainty: An empirical analysis of its impact on commodity futures returns in the United States," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(7), pages 1277-1292, July.

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