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China’s Model of Managing the Financial System

Author

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  • Markus K Brunnermeier
  • Michael Sockin
  • Wei Xiong

Abstract

China’s economic model involves regular and intensive government interventions in financial markets, while Western policymakers often refrain from substantial interventions outside crisis periods. We develop a theoretical framework to rationalize the approaches of both China and the West to managing the financial system as being optimal given the differences in their respective economies. In this framework, a government leans against trading of noise traders but at the expense of introducing policy noise to the market. Our welfare analysis shows that under certain underlying economic conditions, the optimal government policy induces a government-centric equilibrium, in which government intervention is so intensive that all investors choose to acquire private information about policy noise rather than fundamentals. This policy regime characterizes China’s approach with financial stability prioritized over other policy objectives.

Suggested Citation

  • 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.
  • Handle: RePEc:oup:restud:v:89:y:2022:i:6:p:3115-3153.
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    File URL: http://hdl.handle.net/10.1093/restud/rdab098
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    as
    1. Deng, Yongheng & Liu, Xin & Wei, Shang-Jin, 2018. "One fundamental and two taxes: When does a Tobin tax reduce financial price volatility?," Journal of Financial Economics, Elsevier, vol. 130(3), pages 663-692.
    2. Herve Moulin, 2004. "Fair Division and Collective Welfare," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262633116, April.
    3. Jianping Mei & Jose A. Scheinkman & Wei Xiong, 2009. "Speculative Trading and Stock Prices: Evidence from Chinese A-B Share Premia," Annals of Economics and Finance, Society for AEF, vol. 10(2), pages 225-255, November.
    4. 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.
    5. Lubos Pástor & Pietro Veronesi, 2012. "Uncertainty about Government Policy and Stock Prices," Journal of Finance, American Finance Association, vol. 67(4), pages 1219-1264, August.
    6. 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.
    7. Olivier Compte & Philippe Jehiel, 2010. "The Coalitional Nash Bargaining Solution," Econometrica, Econometric Society, vol. 78(5), pages 1593-1623, September.
    8. Christian Hellwig & Laura Veldkamp, 2009. "Knowing What Others Know: Coordination Motives in Information Acquisition," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(1), pages 223-251.
    9. Frank Packer & Mark M. Spiegel, 2016. "China's IPO activity and equity market volatility," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    10. He, Hua & Wang, Jiang, 1995. "Differential Information and Dynamic Behavior of Stock Trading Volume," The Review of Financial Studies, Society for Financial Studies, vol. 8(4), pages 919-972.
    11. Pástor, Ľuboš & Veronesi, Pietro, 2013. "Political uncertainty and risk premia," Journal of Financial Economics, Elsevier, vol. 110(3), pages 520-545.
    12. Masahiro Watanabe, 2008. "Price Volatility and Investor Behavior in an Overlapping Generations Model with Information Asymmetry," Journal of Finance, American Finance Association, vol. 63(1), pages 229-272, February.
    13. Bhattacharya, Utpal & Spiegel, Matthew, 1991. "Insiders, Outsiders, and Market Breakdowns," The Review of Financial Studies, Society for Financial Studies, vol. 4(2), pages 255-282.
    14. Chenggang Xu, 2011. "The Fundamental Institutions of China's Reforms and Development," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 1076-1151, December.
    15. Hellwig, Martin F., 1980. "On the aggregation of information in competitive markets," Journal of Economic Theory, Elsevier, vol. 22(3), pages 477-498, June.
    16. Manzano, Carolina & Vives, Xavier, 2011. "Public and private learning from prices, strategic substitutability and complementarity, and equilibrium multiplicity," Journal of Mathematical Economics, Elsevier, vol. 47(3), pages 346-369.
    17. Qian, Yingyi, 2017. "How Reform Worked in China: The Transition from Plan to Market," MIT Press Books, The MIT Press, edition 1, volume 1, number 026253424x, April.
    18. Albert S. Kyle, 1989. "Informed Speculation with Imperfect Competition," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(3), pages 317-355.
    19. John Geanakoplos, 2009. "The Leverage Cycle," Cowles Foundation Discussion Papers 1715R, Cowles Foundation for Research in Economics, Yale University, revised Jan 2010.
    20. Philip Bond & Itay Goldstein, 2015. "Government Intervention and Information Aggregation by Prices," Journal of Finance, American Finance Association, vol. 70(6), pages 2777-2812, December.
    21. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    22. Froot, Kenneth A & Scharftstein, David S & Stein, Jeremy C, 1992. "Herd on the Street: Informational Inefficiencies in a Market with Short-Term Speculation," Journal of Finance, American Finance Association, vol. 47(4), pages 1461-1484, September.
    23. George-Marios Angeletos & Christian Hellwig & Alessandro Pavan, 2006. "Signaling in a Global Game: Coordination and Policy Traps," Journal of Political Economy, University of Chicago Press, vol. 114(3), pages 452-484, June.
    24. Jayant Vivek Ganguli & Liyan Yang, 2009. "Complementarities, Multiplicity, and Supply Information," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 90-115, March.
    25. Spiegel, Matthew, 1998. "Stock Price Volatility in a Multiple Security Overlapping Generations Model," The Review of Financial Studies, Society for Financial Studies, vol. 11(2), pages 419-447.
    26. Karan Bhanot, 2006. "Anatomy of a Government Intervention in Index Stocks: Price Pressure or Information Effects?," The Journal of Business, University of Chicago Press, vol. 79(2), pages 963-986, March.
    27. John Geanakoplos, 2010. "The Leverage Cycle," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 1-65, National Bureau of Economic Research, Inc.
    28. Han, Bing & Tang, Ya & Yang, Liyan, 2016. "Public information and uninformed trading: Implications for market liquidity and price efficiency," Journal of Economic Theory, Elsevier, vol. 163(C), pages 604-643.
    29. Grace Xing Hu & Jun Pan & Jiang Wang, 2018. "Chinese Capital Market: An Empirical Overview," NBER Working Papers 24346, National Bureau of Economic Research, Inc.
    30. 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.
    31. Itay Goldstein & Chong Huang, 2016. "Bayesian Persuasion in Coordination Games," American Economic Review, American Economic Association, vol. 106(5), pages 592-596, May.
    32. Franklin Allen & Stephen Morris & Hyun Song Shin, 2006. "Beauty Contests and Iterated Expectations in Asset Markets," The Review of Financial Studies, Society for Financial Studies, vol. 19(3), pages 719-752.
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    Cited by:

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    2. Li, Hui & Liu, Kerry, 2024. "China's National Team: A Game Changer in Stock Market Stabilization?," Finance Research Letters, Elsevier, vol. 61(C).
    3. 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).
    4. 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).
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    6. 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).
    7. Chen, Xingjiang & Ruan, Xinfeng & Zhang, Wenjun, 2021. "Dynamic portfolio choice and information trading with recursive utility," Economic Modelling, Elsevier, vol. 98(C), pages 154-167.
    8. 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).
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    11. 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; Financial stability; Price efficiency;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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