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Trading Volume and Transaction Costs in Specialist Markets

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  • George, Thomas J
  • Kaul, Gautam
  • Nimalendran, M

Abstract

Prior work with competitive rational expectations equilibrium models indicates that there should be a positive relation between trading volume and differences in beliefs or information among traders. We show that this result is sensitive to whether and how transaction costs are modeled. In a specialist market with endogenous transaction costs we show that trading volume can be negatively related to the degree of informational asymmetry in the market. Our analysis highlights the dependence of volume on market structure, and our results suggest that the 'volume effects' of corporate or macroeconomic events reflect a decrease, rather than an increase, in heterogeneity of beliefs or asymmetry of information. Copyright 1994 by American Finance Association.

Suggested Citation

  • George, Thomas J & Kaul, Gautam & Nimalendran, M, 1994. "Trading Volume and Transaction Costs in Specialist Markets," Journal of Finance, American Finance Association, vol. 49(4), pages 1489-1505, September.
    • Handle: RePEc:bla:jfinan:v:49:y:1994:i:4:p:1489-1505
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    Cited by:

    1. Seccia, Giulio & Banerjee, Anurag, 2011. "Deadline and welfare effects of scheduling information releases," Discussion Paper Series In Economics And Econometrics 186015, Economics Division, School of Social Sciences, University of Southampton.
    2. Thusitha Mahipala & Howard Chan & Robert Faff, 2009. "Trading volume and information asymmetry: routine versus nonroutine earnings announcements in Australia," Applied Financial Economics, Taylor & Francis Journals, vol. 19(21), pages 1737-1752.
    3. Li Jiang & Lawrence Kryzanowski, 1997. "Trading Activity, Quoted Liquidity, and Stock Volatility," Multinational Finance Journal, Multinational Finance Journal, vol. 1(3), pages 199-227, September.
    4. Xiafei Li & Chris Brooks & Joelle Miffre, 2009. "Transaction Costs, Trading Volume and Momentum Strategies," ICMA Centre Discussion Papers in Finance icma-dp2009-04, Henley Business School, University of Reading.
    5. Jagjeev Dosanjh, 2017. "Exchange Initiatives and Market Efficiency: Evidence from the Australian Securities Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2017, January-A.
    6. Sami, Heibatollah & Zhou, Haiyan, 2008. "Do auditing standards improve the accounting disclosure and information environment of public companies? Evidence from the emerging markets in China," The International Journal of Accounting, Elsevier, vol. 43(2), pages 139-169.
    7. Barron, Orie E. & Karpoff, Jonathan M., 2004. "Information precision, transaction costs, and trading volume," Journal of Banking & Finance, Elsevier, vol. 28(6), pages 1207-1223, June.
    8. Dean Katselas & Baljit K. Sidhu & Chuan Yu, 2021. "Liquidity and information asymmetry around unscheduled mining announcements," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 3053-3087, June.
    9. Franke, Günter & Hess, Dieter, 1995. "Anonymous electronic trading versus floor trading," Discussion Papers, Series II 285, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
    10. Krause, Andreas, 2005. "Optimal stock allocation in specialist markets," Research in Economics, Elsevier, vol. 59(1), pages 23-39, March.
    11. Lof, Matthijs & van Bommel, Jos, 2023. "Asymmetric information and the distribution of trading volume," Journal of Corporate Finance, Elsevier, vol. 82(C).
    12. repec:uts:finphd:34 is not listed on IDEAS
    13. Barber, Brad M. & De George, Emmanuel T. & Lehavy, Reuven & Trueman, Brett, 2013. "The earnings announcement premium around the globe," Journal of Financial Economics, Elsevier, vol. 108(1), pages 118-138.
    14. Raman Kumar & Marius Popescu, 2014. "The implied intra-day probability of informed trading," Review of Quantitative Finance and Accounting, Springer, vol. 42(2), pages 357-371, February.
    15. Franke, Gunter & Hess, Dieter, 2000. "Information diffusion in electronic and floor trading," Journal of Empirical Finance, Elsevier, vol. 7(5), pages 455-478, December.
    16. Andrea Marcello Buffa, 2004. "Strategic Insider Trading with Imperfect Information: A Trading Volume Analysis," Rivista di Politica Economica, SIPI Spa, vol. 94(6), pages 101-143, November-.
    17. Brian Prucyk, 2005. "Specialist Risk Attitudes and the Bid‐Ask Spread," The Financial Review, Eastern Finance Association, vol. 40(2), pages 223-255, May.
    18. Liyi Zheng, 2020. "The type of corporate announcements and its implication on trading behaviour," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(S1), pages 629-659, April.
    19. Frino, Alex & Prodromou, Tina & Wang, George H.K. & Westerholm, P. Joakim & Zheng, Hui, 2017. "An empirical analysis of algorithmic trading around earnings announcements," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 34-51.
    20. Frederick H. deB. Harris & Adam S. Hyde & Robert A. Wood, 2014. "The Persistence of Dominant‐Firm Market Share: Raising Rivals' Cost on the New York Stock Exchange," Southern Economic Journal, John Wiley & Sons, vol. 81(1), pages 91-112, July.
    21. Madhavan, Ananth & Porter, David & Weaver, Daniel, 2005. "Should securities markets be transparent?," Journal of Financial Markets, Elsevier, vol. 8(3), pages 265-287, August.
    22. John S. Howe & Thibaut G. Morillon, 2017. "Do Mergers and Acquisitions Affect Information Asymmetry in the Banking Sector?," NFI Working Papers 2017-WP-01, Indiana State University, Scott College of Business, Networks Financial Institute.
    23. Anzhela Knyazeva & Diana Knyazeva & Leonard Kostovetsky, 2018. "Investor heterogeneity and trading," European Financial Management, European Financial Management Association, vol. 24(4), pages 680-718, September.

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