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Saving China's Stock Market

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What were the economic benefits and costs of preventing a stock market meltdown during the summer of 2015 by the Chinese government intervention? We answer this question by estimating the value creation for the stocks purchased by the government between the period starting with the market crash in mid-June and the market recovery in September. We find that the government intervention increased the value of the rescued firms with a net benefit between RMB 5,697 and 6,635 billion, which is about 10% of the Chinese GDP in 2014. The value creation came from the increased stock demand by the government, the reduced default probabilities, and the increased liquidity.

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  • Yi Huang & Jianjun Miao & Pengfei Wang, 2016. "Saving China's Stock Market," IHEID Working Papers 09-2016, Economics Section, The Graduate Institute of International Studies.
    • Handle: RePEc:gii:giihei:heidwp09-2016
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    Cited by:

    1. Jiangze Bian & Zhiguo He & Kelly Shue & Hao Zhou, 2018. "Leverage-Induced Fire Sales and Stock Market Crashes," NBER Working Papers 25040, National Bureau of Economic Research, Inc.
    2. Ping‐Wen Sun & Yifan Shen & Meifen Qian & Wu Yan, 2021. "Risk of holding stocks with liquidity sensitive to market uncertainty: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 1993-2029, April.
    3. Li, Hui & Liu, Kerry, 2024. "China's National Team: A Game Changer in Stock Market Stabilization?," Finance Research Letters, Elsevier, vol. 61(C).
    4. Huang, Shao’an & Qiu, Zhigang & Wang, Gaowang & Wang, Xiaodan, 2022. "Government intervention through informed trading in financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    5. Markus K Brunnermeier & Michael Sockin & Wei Xiong, 2022. "China’s Model of Managing the Financial System," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(6), pages 3115-3153.
    6. Haizhong Wang & Hong Yuan & Xiaolin Li & Huaxi Li, 2019. "The impact of psychological identification with home-name stocks on investor behavior: an empirical and experimental investigation," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 1109-1130, November.
    7. Zhu, Minchen & Lv, Dayong & Wu, Wenfeng, 2022. "Market stabilization fund and stock price crash risk: Evidence from the post-crash period," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    8. Chen Li & Huanhuan Zheng & Yunbo Liu, 2022. "The hybrid regulatory regime in turbulent times: The role of the state in China's stock market crisis in 2015–2016," Regulation & Governance, John Wiley & Sons, vol. 16(2), pages 392-408, April.
    9. Jin, Ling & Li, Zhisheng & Lu, Lei & Ni, Xiaoran, 2023. "Does stock market rescue affect investment efficiency in the real sector?," Journal of Financial Markets, Elsevier, vol. 65(C).
    10. Liu, Jia & Fu, Pengju & Lin, Chunyan, 2023. "Rule improvements and irrational characteristics of herd behaviour–The effects of SMT policy," Finance Research Letters, Elsevier, vol. 56(C).
    11. Augier, Laurent & Yin, Chao, 2022. "Financial market economy vs self-financing economy and the role of risk aversion," International Economics, Elsevier, vol. 172(C), pages 15-28.
    12. Guo, Qi & Huang, Shao'an & Wang, Gaowang, 2022. "Stabilizing the Financial Markets through Informed Trading," MPRA Paper 115470, University Library of Munich, Germany.
    13. Li, Lu & Liu, Chunbo & Xu, Yongxin & Zhang, Xiaoyan & Zheng, Gaoping, 2024. "Crisis rescue via direct purchase: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 165(C).
    14. Shi, Yang & Chen, Shu & Liu, Ruiming & Kang, Yankun, 2022. "Fund renaming and fund flows: Evidence from China's stock market crash in 2015," Economic Modelling, Elsevier, vol. 108(C).
    15. Kang, Junqing, 2022. "Comments on “Government intervention through informed trading in financial markets” by Shao’an Huang, Zhigang Qiu, Gaowang Wang and Xiaodan Wang," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).

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    More about this item

    Keywords

    China; Stock Market Crash; Government intervention;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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