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Government Intervention through Informed Trading in Financial Markets

Author

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  • Huang, Shao'an
  • Qiu, Zhigang
  • Wang, Gaowang
  • Wang, Xiaodan

Abstract

We develop a theoretical model of government intervention in which a government with private information trades strategically with other market participants to achieve its policy goal of stabilizing asset prices. When the government has precise information and cares much about its policy goal, both the government and the informed insider engage in reversed trading strategies, but they trade against each other. Government intervention can improve both market liquidity and price efficiency, and the effectiveness of government intervention depends crucially on the information quality of the government.

Suggested Citation

  • Huang, Shao'an & Qiu, Zhigang & Wang, Gaowang & Wang, Xiaodan, 2021. "Government Intervention through Informed Trading in Financial Markets," MPRA Paper 107783, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:107783
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    References listed on IDEAS

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    1. Liyan Yang & Haoxiang Zhu, 2020. "Back-Running: Seeking and Hiding Fundamental Information in Order Flows," Review of Finance, European Finance Association, vol. 33(4), pages 1484-1533.
    2. Choi, Jin Hyuk & Larsen, Kasper & Seppi, Duane J., 2019. "Information and trading targets in a dynamic market equilibrium," Journal of Financial Economics, Elsevier, vol. 132(3), pages 22-49.
    3. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    4. Holden, Craig W & Subrahmanyam, Avanidhar, 1992. "Long-Lived Private Information and Imperfect Competition," Journal of Finance, American Finance Association, vol. 47(1), pages 247-270, March.
    5. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    6. Pasquariello, Paolo & Roush, Jennifer & Vega, Clara, 2020. "Government Intervention and Strategic Trading in the U.S. Treasury Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(1), pages 117-157, February.
    7. 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.
    8. Bhattacharya, Utpal & Weller, Paul, 1997. "The advantage to hiding one's hand: Speculation and central bank intervention in the foreign exchange market," Journal of Monetary Economics, Elsevier, vol. 39(2), pages 251-277, July.
    9. Zheng (Michael) Song & Wei Xiong, 2018. "Risks in China's Financial System," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 261-286, November.
    10. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    11. Alex Edmans & Itay Goldstein & Wei Jiang, 2012. "The Real Effects of Financial Markets: The Impact of Prices on Takeovers," Journal of Finance, American Finance Association, vol. 67(3), pages 933-971, June.
    12. Stein, Jeremy C, 1989. "Cheap Talk and the Fed: A Theory of Imprecise Policy Announcements," American Economic Review, American Economic Association, vol. 79(1), pages 32-42, March.
    13. Jeremy C. Stein & Adi Sunderam, 2018. "The Fed, the Bond Market, and Gradualism in Monetary Policy," Journal of Finance, American Finance Association, vol. 73(3), pages 1015-1060, June.
    14. 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.
    15. Vitale, Paolo, 1999. "Sterilised central bank intervention in the foreign exchange market," Journal of International Economics, Elsevier, vol. 49(2), pages 245-267, December.
    16. Chen, Ting & Gao, Zhenyu & He, Jibao & Jiang, Wenxi & Xiong, Wei, 2019. "Daily price limits and destructive market behavior," Journal of Econometrics, Elsevier, vol. 208(1), pages 249-264.
    17. Huddart, Steven & Hughes, John S & Levine, Carolyn B, 2001. "Public Disclosure and Dissimulation of Insider Trades," Econometrica, Econometric Society, vol. 69(3), pages 665-681, May.
    18. Su, Yuli & Yip, Yewmun & Wong, Rickie W., 2002. "The impact of government intervention on stock returns: Evidence from Hong Kong," International Review of Economics & Finance, Elsevier, vol. 11(3), pages 277-297.
    19. Louis T. W. Cheng & Joseph K. W. Fung & Kam C. Chan, 2000. "Pricing dynamics of index options and index futures in Hong Kong before and during the Asian financial crisis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 20(2), pages 145-166, February.
    20. Philip Bond & Alex Edmans & Itay Goldstein, 2012. "The Real Effects of Financial Markets," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 339-360, October.
    21. Liyan Yang & Haoxiang Zhu, 2020. "Back-Running: Seeking and Hiding Fundamental Information in Order Flows," The Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1484-1533.
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    Cited by:

    1. Guo, Qi & Huang, Shao'an & Wang, Gaowang, 2024. "Stabilizing the Financial Markets through Communication and Informed Trading," MPRA Paper 120072, University Library of Munich, Germany.
    2. Guo, Qi & Huang, Shao'an & Wang, Gaowang, 2022. "Stabilizing the Financial Markets through Informed Trading," MPRA Paper 115470, University Library of Munich, Germany.

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    More about this item

    Keywords

    government intervention; trading; price stability; price efficiency;
    All these keywords.

    JEL classification:

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

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