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Is Sound Just Noise?

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  • Joshua D. Coval
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    Abstract

    We analyze the information content of the ambient noise level in the Chicago Board of Trade's 30-year Treasury Bond futures trading pit. Controlling for a variety of other variables, including lagged price changes, trading volumes, and news announcements, we find that the sound level conveys information which is highly economically and statistically significant. Specifically, changes in the sound level forecast changes in the cost of transacting. Following a rise in the sound level, prices become more volatile, depth declines, and information asymmetry increases. Our results offer important implications for the future of open outcry and floor-based trading mechanisms. Copyright The American Finance Association 2001.

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    Bibliographic Info

    Article provided by American Finance Association in its journal The Journal of Finance.

    Volume (Year): 56 (2001)
    Issue (Month): 5 (October)
    Pages: 1887-1910

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    Handle: RePEc:bla:jfinan:v:56:y:2001:i:5:p:1887-1910

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    Cited by:
    1. Carretta, Alessandro & Farina, Vincenzo & Graziano, Elvira Anna & Reale, Marco, 2011. "Does investor attention influence stock market activity? The case of spin-off deals," MPRA Paper 33545, University Library of Munich, Germany.
    2. Robert Battalio & Andrew Ellul & Robert Jennings, 2005. "Reputation effects in trading on the New York Stock Exchange," LSE Research Online Documents on Economics 24659, London School of Economics and Political Science, LSE Library.
    3. Merrick, John J. & Naik, Narayan Y. & Yadav, Pradeep K., 2004. "Strategic trading behavior and price distortion in a manipulated market: Anatomy of a squeeze," CFR Working Papers 04-07, University of Cologne, Centre for Financial Research (CFR).
    4. Michael Cooper & Huseyin Gulen, 2006. "Is Time-Series-Based Predictability Evident in Real Time?," The Journal of Business, University of Chicago Press, vol. 79(3), pages 1263-1292, May.
    5. Roberto Casarin & Flaminio Squazzoni, 2012. "Financial press and stock markets in times of crisis," Working Papers 2012_04, Department of Economics, University of Venice "Ca' Foscari".
    6. Liao, Huei-Chu & Lee, Yi-Huey & Suen, Yu-Bo, 2008. "Electronic trading system and returns volatility in the oil futures market," Energy Economics, Elsevier, vol. 30(5), pages 2636-2644, September.
    7. Huang, Yu Chuan & Chan, Shu Hui, 2014. "The house money and break-even effects for different types of traders: Evidence from Taiwan futures markets," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 1-13.
    8. Frino, Alex & Grant, Joel & Johnstone, David, 2008. "The house money effect and local traders on the Sydney Futures Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 16(1-2), pages 8-25, January.
    9. Erenburg, Grigori & Kurov, Alexander & Lasser, Dennis J., 2006. "Trading around macroeconomic announcements: Are all traders created equal?," Journal of Financial Intermediation, Elsevier, vol. 15(4), pages 470-493, October.
    10. Merrick, John Jr & Naik, Narayan Y. & Yadav, Pradeep K., 2005. "Strategic trading behavior and price distortion in a manipulated market: anatomy of a squeeze," Journal of Financial Economics, Elsevier, vol. 77(1), pages 171-218, July.

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