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Can the Greater Fool Theory Explain Bubbles? Evidence from China

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  • Xuan Zou

    (Rutgers University)

Abstract

Many have noticed the phenomenon that naïve investors are attracted to the market as stock prices soar, yet few empirical studies have tested for this bubble phenomenon. This paper presents previously unused data on the aggregate number of newly opened brokerage accounts in China and tests the role of new investors in bubble formation. I find that new investors, attracted by soaring stock prices and the intensive trading activities of others, drove the Chinese stock market bubbles in 2007 and 2015, supporting the Greater Fool theory of bubbles. The inexperienced and naïve new investors appear more likely to be the "greater fools." Using the residual orthogonalization method, I build a data-driven structural model system, where shocks from the new accounts variable explain 40-55% of Chinese stock return variation.

Suggested Citation

  • Xuan Zou, 2018. "Can the Greater Fool Theory Explain Bubbles? Evidence from China," Departmental Working Papers 201804, Rutgers University, Department of Economics.
  • Handle: RePEc:rut:rutres:201804
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    References listed on IDEAS

    as
    1. Huan Xie & Jipeng Zhang, 2016. "Bubbles and experience: An experiment with a steady inflow of new traders," Southern Economic Journal, John Wiley & Sons, vol. 82(4), pages 1349-1373, April.
    2. Terrance Odean., 1996. "Volume, Volatility, Price and Profit When All Trader Are Above Average," Research Program in Finance Working Papers RPF-266, University of California at Berkeley.
    3. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2018. "Extrapolation and bubbles," Journal of Financial Economics, Elsevier, vol. 129(2), pages 203-227.
    4. Patrick Bayer & Kyle Mangum & James W. Roberts, 2021. "Speculative Fever: Investor Contagion in the Housing Bubble," American Economic Review, American Economic Association, vol. 111(2), pages 609-651, February.
    5. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    6. Ernan Haruvy & Yaron Lahav & Charles N. Noussair, 2007. "Traders' Expectations in Asset Markets: Experimental Evidence," American Economic Review, American Economic Association, vol. 97(5), pages 1901-1920, December.
    7. De Long, J. Bradford & Shleifer, Andrei, 1991. "The stock market bubble of 1929: evidence from clsoed-end mutual funds," The Journal of Economic History, Cambridge University Press, vol. 51(3), pages 675-700, September.
    8. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    9. Eli Ofek & Matthew Richardson, 2003. "DotCom Mania: The Rise and Fall of Internet Stock Prices," Journal of Finance, American Finance Association, vol. 58(3), pages 1113-1137, June.
    10. repec:bla:jfinan:v:53:y:1998:i:6:p:1887-1934 is not listed on IDEAS
    11. Reshmaan N. Hussam & David Porter & Vernon L. Smith, 2008. "Thar She Blows: Can Bubbles Be Rekindled with Experienced Subjects?," American Economic Review, American Economic Association, vol. 98(3), pages 924-937, June.
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    More about this item

    Keywords

    bubble; individual investors; volume; Chinese stock market;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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