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A Theory of Limited Liquidity and Large Investors Causing Spikes in Stock Market Volatility and Trading Volume

Author

Listed:
  • Xavier Gabaix
  • Parameswaran Gopikrishnan
  • Vasiliki Plerou
  • H. Eugene Stanley

Abstract

We survey a theory of the economic underpinnings of the fat-tailed distributions of a number of financial variables, such as returns and trading volumes. Our theory posits that they have a common origin in the strategic trading behavior of very large financial institutions in a relatively illiquid market. We show how the fat-tailed distribution of fund sizes can indeed generate extreme returns and volumes, even in the absence of fundamental news. Moreover, we are able to replicate the individually different empirical values of the power law exponents for each distribution. Large investors moderate their trades to reduce their price impact; coupled with a concave price impact function, this leads to volumes being more fat-tailed than returns but less fat-tailed than fund sizes. The trades of large institutions offer a unified explanation for apparently disconnected empirical regularities that are otherwise a challenge for economic theory. (JEL: G12, G14, G23) (c) 2007 by the European Economic Association.

Suggested Citation

  • Xavier Gabaix & Parameswaran Gopikrishnan & Vasiliki Plerou & H. Eugene Stanley, 2007. "A Theory of Limited Liquidity and Large Investors Causing Spikes in Stock Market Volatility and Trading Volume," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 564-573, 04-05.
    • Handle: RePEc:tpr:jeurec:v:5:y:2007:i:2-3:p:564-573
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    Citations

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    Cited by:

    1. Wei-Xing Zhou, 2012. "Universal price impact functions of individual trades in an order-driven market," Quantitative Finance, Taylor & Francis Journals, vol. 12(8), pages 1253-1263, June.
    2. Gu, Gao-Feng & Xiong, Xiong & Zhang, Yong-Jie & Chen, Wei & Zhang, Wei & Zhou, Wei-Xing, 2016. "Stylized facts of price gaps in limit order books," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 48-58.
    3. Jiayu Huang & Yifan Wang & Yaojun Fan & Hexuan Li, 2022. "Gauging the effect of investor overconfidence on trading volume from the perspective of the relationship between lagged stock returns and current trading volume," International Finance, Wiley Blackwell, vol. 25(1), pages 103-123, April.
    4. Teplova, Tamara & Tomtosov, Aleksandr, 2021. "Can high trading volume and volatility switch boost momentum to show greater inefficiency and avoid crashes in emerging markets? The economic relationship in factor investing in emerging markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 210-223.
    5. Gao-Feng Gu & Xiong Xiong & Yong-Jie Zhang & Wei Chen & Wei Zhang & Wei-Xing Zhou, 2014. "Stylized facts of price gaps in limit order books: Evidence from Chinese stocks," Papers 1405.1247, arXiv.org.

    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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