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The Manipulator's Poker: Order-Based Manipulation in the Chinese Stock Market

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  • Dongmin Kong
  • Maobin Wang

Abstract

This paper investigates order-based manipulation and its effects on investor behavior and market efficiency. Using a unique data set from the Chinese stock market, we show that (1) order-based manipulation affects market liquidity and trading behavior, (2) the manipulator pretends to be informed or expects to be seen as informed by choosing a "right" time to implement the manipulation, and (3) the manipulation rapidly changes investor reaction to the market order/depth imbalance in the short run, and the effect gradually drops during the postmanipulation period. Our results are robust to alternative measures and offer clear implications for both theory and policy.

Suggested Citation

  • Dongmin Kong & Maobin Wang, 2014. "The Manipulator's Poker: Order-Based Manipulation in the Chinese Stock Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(2), pages 73-98, March.
    • Handle: RePEc:mes:emfitr:v:50:y:2014:i:2:p:73-98
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    Citations

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    Cited by:

    1. Chaturvedula, Chakrapani & Bang, Nupur Pavan & Rastogi, Nikhil & Kumar, Satish, 2015. "Price manipulation, front running and bulk trades: Evidence from India," Emerging Markets Review, Elsevier, vol. 23(C), pages 26-45.
    2. Serkan İmişiker & Rasim Özcan & Bedri Kamil Onur Taş, 2015. "Price Manipulation by Intermediaries," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(4), pages 788-797, July.
    3. Nurullah Celal Uslu & Fuat Akal, 2022. "A Machine Learning Approach to Detection of Trade-Based Manipulations in Borsa Istanbul," Computational Economics, Springer;Society for Computational Economics, vol. 60(1), pages 25-45, June.
    4. Wei, Lijian & Zhang, Wei & Xiong, Xiong & Shi, Lei, 2015. "Position limit for the CSI 300 stock index futures market," Economic Systems, Elsevier, vol. 39(3), pages 369-389.
    5. Brzeszczyński, Janusz & Gajdka, Jerzy & Kutan, Ali M., 2015. "Investor response to public news, sentiment and institutional trading in emerging markets: A review," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 338-352.
    6. Xihan Xiong & Zhipeng Wang & Tianxiang Cui & William Knottenbelt & Michael Huth, 2023. "Market Misconduct in Decentralized Finance (DeFi): Analysis, Regulatory Challenges and Policy Implications," Papers 2311.17715, arXiv.org, revised Mar 2024.
    7. Kong, Gaowen & Xu, Li & Zhang, Wenzhe, 2022. "The benevolence of the billionaires: Evidence from China's Hurun rich list1," Finance Research Letters, Elsevier, vol. 48(C).
    8. Imisiker, Serkan & Tas, Bedri Kamil Onur, 2018. "Wash trades as a stock market manipulation tool," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 92-98.

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