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Liquidity and market efficiency: A large sample study

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  • Chung, Dennis
  • Hrazdil, Karel
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    Abstract

    Chordia et al. (2008, hereafter CRS) examine short horizon return predictability from past order flows of large, actively traded NYSE firms across three tick size regimes and conclude that higher liquidity facilitates arbitrage trading which enhances market efficiency. We extend CRS to a comprehensive sample of all NYSE firms and examine the dynamics between liquidity and market efficiency during informational periods. Our results indicate that although all NYSE firms experience an overall improvement in market efficiency across periods of different tick size regimes, this improvement varies significantly across the portfolios of sample companies formed on the basis of trading frequency, market capitalization, and trading volume. After controlling for these factors, we further document a positive association between a continuous measure of liquidity and market efficiency, and show that this effect is amplified during periods that contain new information, as reflected in high adverse selection component of the bid-ask spread.

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    Bibliographic Info

    Article provided by Elsevier in its journal Journal of Banking & Finance.

    Volume (Year): 34 (2010)
    Issue (Month): 10 (October)
    Pages: 2346-2357

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    Handle: RePEc:eee:jbfina:v:34:y:2010:i:10:p:2346-2357

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    Web page: http://www.elsevier.com/locate/jbf

    Related research

    Keywords: Liquidity Information Return predictability Market efficiency NYSE;

    References

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    Cited by:
    1. Charupat, Narat & Miu, Peter, 2011. "The pricing and performance of leveraged exchange-traded funds," Journal of Banking & Finance, Elsevier, vol. 35(4), pages 966-977, April.
    2. Nikolaus Hautsch & Dieter Hess & David Veredas, 2010. "The Impact of Macroeconomic News on Quote Adjustments, Noise, and Informational Volatility," SFB 649 Discussion Papers SFB649DP2010-005, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    3. Chung, Dennis Y. & Hrazdil, Karel, 2012. "Speed of convergence to market efficiency: The role of ECNs," Journal of Empirical Finance, Elsevier, vol. 19(5), pages 702-720.
    4. Chen, Zhiping & Yang, Li, 2011. "Nonlinearly weighted convex risk measure and its application," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1777-1793, July.
    5. Raphael Flepp & Stephan Nüesch & Egon Franck, 2013. " Liquidity, Market Efficiency and the Influence of Noise Traders: Quasi-Experimental Evidence from the Betting Industry," Working Papers 341, University of Zurich, Department of Business Administration (IBW).
    6. Diana MURESAN & Monica Ioana POP SILAGHI, 2013. "Turnover And Market Value In Capital Markets In The European Union," Romanian Journal of Economics, Institute of National Economy, vol. 37(2(46)), pages 80-90, December.
    7. Todea, Alexandru & Pleşoianu, Anita, 2013. "The influence of foreign portfolio investment on informational efficiency: Empirical evidence from Central and Eastern European stock markets," Economic Modelling, Elsevier, vol. 33(C), pages 34-41.
    8. Chung, Dennis Y. & Hrazdil, Karel, 2010. "Liquidity and market efficiency: Analysis of NASDAQ firms," Global Finance Journal, Elsevier, vol. 21(3), pages 262-274.
    9. : Jana P. Fidrmuc & Adriana Korczak & Piotr Korczak, 2012. "Why does Shareholder Protection Matter for Abnormal Returns after Reported Insider Purcases and Sales?," Working Papers wpn12-03, Warwick Business School, Finance Group.
    10. Carrion, Allen, 2013. "Very fast money: High-frequency trading on the NASDAQ," Journal of Financial Markets, Elsevier, vol. 16(4), pages 680-711.
    11. Diana Muresan, 2012. "Retrospective Of Financial Reporting On Capital Market," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(14), pages 8.

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