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Does foreign equity investment impact the spillover effect of industries in China?

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  • Xu, Hao
  • Li, Songsong
  • Tian, Zhihong

Abstract

This study aims to systematically investigate the impact of foreign equity investment on the spillover across industries in China, both in terms of the contagion path and persistence of shocks and the performance during the COVID-19 pandemic. We use daily data on returns covering 2014 to 2022 and apply linear and non-linear causality tests and spillover framework. Our findings show that the two proxies of foreign investment, net buying and Δ Net Buying, significantly shock the spillover across 11 industry indexes of China’s stock market, particularly the spillover output and long-term spillover received of sectors. During the COVID-19 pandemic, international investors are bullish on China’s economy reflected in the continuous inflow of northbound trading, and the short-run influence on China’s stock market is weakened, while the long-run impact remains. Moreover, financial networks suggest that the path of movement international capital movement to accomplish overall contagion through shock in certain specific industries. Overall, this study evidence that the northbound trading generally overlooked by researchers is indeed an important channel of financial contagion to China’s stock market.

Suggested Citation

  • Xu, Hao & Li, Songsong & Tian, Zhihong, 2023. "Does foreign equity investment impact the spillover effect of industries in China?," The North American Journal of Economics and Finance, Elsevier, vol. 68(C).
    • Handle: RePEc:eee:ecofin:v:68:y:2023:i:c:s1062940823000785
    DOI: 10.1016/j.najef.2023.101955
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    1. Hasler, Michael & Ornthanalai, Chayawat, 2018. "Fluctuating attention and financial contagion," Journal of Monetary Economics, Elsevier, vol. 99(C), pages 106-123.
    2. Choi, Sun-Yong, 2022. "Dynamic volatility spillovers between industries in the US stock market: Evidence from the COVID-19 pandemic and Black Monday," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    3. Wu, Fei & Zhang, Dayong & Zhang, Zhiwei, 2019. "Connectedness and risk spillovers in China’s stock market: A sectoral analysis," Economic Systems, Elsevier, vol. 43(3).
    4. Jiang, Dequan & Li, Weiping & Shen, Yongjian & Yao, Zhenye, 2020. "Market liberalization and tax avoidance: Evidence from the Shanghai-Hong Kong Stock Connect Program in China," Economic Systems, Elsevier, vol. 44(3).
    5. Li, Yanshuang & Zhuang, Xintian & Wang, Jian & Zhang, Weiping, 2020. "Analysis of the impact of Sino-US trade friction on China’s stock market based on complex networks," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    6. Dai, Zhifeng & Peng, Yongxin, 2022. "Economic policy uncertainty and stock market sector time-varying spillover effect: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    7. Zhang, Weiping & Zhuang, Xintian & Wang, Jian & Lu, Yang, 2020. "Connectedness and systemic risk spillovers analysis of Chinese sectors based on tail risk network," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    8. Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2017. "A multifractal detrended fluctuation analysis of financial market efficiency: Comparison using Dow Jones sector ETF indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 182-192.
    9. Xiaomeng Ma & Dong Zou & Chuanchao Huang & Shuliang Lv, 2020. "China’s growing influence and risk in Asia–Pacific stock markets: evidence from spillover effects and market integration," Risk Management, Palgrave Macmillan, vol. 22(4), pages 338-361, December.
    10. Junyi Shi, 2020. "Re-Measurement Of Short-Term International Capital Flows And Its Application: Evidence From China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(06), pages 1645-1665, December.
    11. Jia, Qiaoyu & Zhou, Jia'nan, 2021. "The dark side of stock market liberalization: Perspectives from corporate R&D activities in China," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    12. Zunino, L. & Tabak, B.M. & Figliola, A. & Pérez, D.G. & Garavaglia, M. & Rosso, O.A., 2008. "A multifractal approach for stock market inefficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(26), pages 6558-6566.
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    Cited by:

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    2. Aboagye, Ernest & Ko, Stanley Iat-Meng & Lo, Chia Chun & Hsiao, Cody Yu-Ling & Peng, Liang, 2024. "A contagion test with unspecified heteroscedastic errors," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).

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