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Disagreement and Liquidity

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  • Kruger, Samuel

Abstract

Disagreement is an increasingly popular explanation for trade of informationally sensitive securities. Yet, there is limited research on the relation between disagreement and liquidity, particularly regarding how disagreement affects private information's impact on trading and liquidity. This paper proposes a model in which trading is entirely generated by disagreement stemming from overconfident interpretation of private signals. Contrary to traditional intuition, the model predicts that private information increases trading and enhances liquidity. A more general version of the model incorporates both disagreement and liquidity trading. The general model relates traditional intuition about private information destroying liquidity and trade to disagreement trading. The relation between private information and liquidity is not monotonic. Private information at first decreases liquidity but then enhances it, potentially explaining why private information seems to destroy liquidity in money markets but not in markets that are more informationally sensitive to start with.

Suggested Citation

  • Kruger, Samuel, 2018. "Disagreement and Liquidity," SocArXiv mfx6w_v1, Center for Open Science.
  • Handle: RePEc:osf:socarx:mfx6w_v1
    DOI: 10.31219/osf.io/mfx6w_v1
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    1. Kandel, Eugene & Pearson, Neil D, 1995. "Differential Interpretation of Public Signals and Trade in Speculative Markets," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 831-872, August.
    2. Baker, Malcolm & Stein, Jeremy C., 2004. "Market liquidity as a sentiment indicator," Journal of Financial Markets, Elsevier, vol. 7(3), pages 271-299, June.
    3. Pierre Collin-Dufresne & Vyacheslav Fos, 2015. "Do Prices Reveal the Presence of Informed Trading?," Journal of Finance, American Finance Association, vol. 70(4), pages 1555-1582, August.
    4. Pierre Collin‐Dufresne & Vyacheslav Fos, 2016. "Insider Trading, Stochastic Liquidity, and Equilibrium Prices," Econometrica, Econometric Society, vol. 84, pages 1441-1475, July.
    5. Arnoud W. A. Boot & Radhakrishnan Gopalan & Anjan V. Thakor, 2008. "Market Liquidity, Investor Participation, and Managerial Autonomy: Why Do Firms Go Private?," Journal of Finance, American Finance Association, vol. 63(4), pages 2013-2059, August.
    6. John M. Griffin & Federico Nardari & René M. Stulz, 2007. "Do Investors Trade More When Stocks Have Performed Well? Evidence from 46 Countries," The Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 905-951.
    7. Snehal Banerjee & Ilan Kremer, 2010. "Disagreement and Learning: Dynamic Patterns of Trade," Journal of Finance, American Finance Association, vol. 65(4), pages 1269-1302, August.
    8. Travis L. Johnson & Eric C. So, 2018. "Asymmetric Trading Costs Prior to Earnings Announcements: Implications for Price Discovery and Returns," Journal of Accounting Research, Wiley Blackwell, vol. 56(1), pages 217-263, March.
    9. Snehal Banerjee, 2011. "Learning from Prices and the Dispersion in Beliefs," The Review of Financial Studies, Society for Financial Studies, vol. 24(9), pages 3025-3068.
    10. Pierre Collin-Dufresne & Vyacheslav Fos, 2013. "Do Prices Reveal the Presence of Informed Trading?," Swiss Finance Institute Research Paper Series 13-69, Swiss Finance Institute, revised Sep 2015.
    11. Owen Lamont & Andrea Frazzini, 2007. "The Earnings Announcement Premium and Trading Volume," NBER Working Papers 13090, National Bureau of Economic Research, Inc.
    12. Pierre Collin‐Dufresne & Vyacheslav Fos, 2016. "Insider Trading, Stochastic Liquidity, and Equilibrium Prices," Econometrica, Econometric Society, vol. 84(4), pages 1441-1475, July.
    13. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    14. repec:bla:jfinan:v:53:y:1998:i:6:p:1839-1885 is not listed on IDEAS
    15. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    16. Markus K. Brunnermeier & Alp Simsek & Wei Xiong, 2014. "A Welfare Criterion For Models With Distorted Beliefs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1753-1797.
    17. Lee, Charles M C & Mucklow, Belinda & Ready, Mark J, 1993. "Spreads, Depths, and the Impact of Earnings Information: An Intraday Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 345-374.
    18. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    19. Grossman, Sanford J, 1976. "On the Efficiency of Competitive Stock Markets Where Trades Have Diverse Information," Journal of Finance, American Finance Association, vol. 31(2), pages 573-585, May.
    20. Meir Statman & Steven Thorley & Keith Vorkink, 2006. "Investor Overconfidence and Trading Volume," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1531-1565.
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