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Saving China’s Stock Market?

Author

Listed:
  • Yi Huang

    (Graduate Institute, Geneva
    CEPR)

  • Jianjun Miao

    (Boston University
    ICFS, Southwestern University of Finance and Economics
    CEMA, Central University of Finance and Economics)

  • Pengfei Wang

    (The Hong Kong University of Science and Technology)

Abstract

We estimate the value creation for the stocks purchased by the Chinese government between the period starting with the market crash in mid-June of 2015 and the market recovery in September. We find that the government intervention increased the value of the rescued non-financial firms by RMB 206 billion after netting out the average purchase cost, which is about 1% of the Chinese GDP in 2014. The short-term value creation came from the increased stock demand, the reduced default probabilities, and the increased liquidity. The intervention may come at a long-run cost of creating moral hazard, preventing price discovery, creating more uncertainty, and damaging government credibility.

Suggested Citation

  • Yi Huang & Jianjun Miao & Pengfei Wang, 2019. "Saving China’s Stock Market?," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 67(2), pages 349-394, June.
    • Handle: RePEc:pal:imfecr:v:67:y:2019:i:2:d:10.1057_s41308-019-00079-z
    DOI: 10.1057/s41308-019-00079-z
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    Cited by:

    1. 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.
    2. Markus K Brunnermeier & Michael Sockin & Wei Xiong, 2022. "China’s Model of Managing the Financial System [Beauty Contests and Iterated Expectations in Asset Markets]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(6), pages 3115-3153.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    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. Guo, Qi & Huang, Shao'an & Wang, Gaowang, 2022. "Stabilizing the Financial Markets through Informed Trading," MPRA Paper 115470, University Library of Munich, Germany.
    12. 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).
    13. 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

    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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