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Informed local trading prior to earnings announcements

Author

Listed:
  • Berry, Thomas
  • Gamble, Keith Jacks

Abstract

Do individual investors have better information about local stocks? Our results demonstrate that they do. Large trading imbalances by investors living close to a firm's headquarters predict the stock's earnings announcement return. Stocks with the most net buying by local investors average significantly higher market-adjusted announcement returns than stocks with the most net selling by local investors. This return difference is pronounced for small and medium-sized firms, but absent among large firms, which have significant analyst coverage. Local investors' information advantage comes at the expense of nonlocal traders.

Suggested Citation

  • Berry, Thomas & Gamble, Keith Jacks, 2013. "Informed local trading prior to earnings announcements," Journal of Financial Markets, Elsevier, vol. 16(3), pages 505-525.
    • Handle: RePEc:eee:finmar:v:16:y:2013:i:3:p:505-525
    DOI: 10.1016/j.finmar.2012.07.001
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    References listed on IDEAS

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    Cited by:

    1. Tian, Xiao & Do, Binh & Duong, Huu Nhan & Kalev, Petko S., 2015. "Liquidity provision and informed trading by individual investors," Pacific-Basin Finance Journal, Elsevier, vol. 35(PA), pages 143-162.
    2. McAdam, Chris, 2020. "Are investors compensated for their sophistication and informedness for company takeovers – An Australian study," Global Finance Journal, Elsevier, vol. 44(C).
    3. George D. Cashman & David M. Harrison & Michael J. Seiler & Hainan Sheng, 2019. "The Impact of Geographic and Cultural Dispersion on Information Opacity," The Journal of Real Estate Finance and Economics, Springer, vol. 59(2), pages 166-208, August.
    4. Danny Lo, 2015. "Essays in Market Microstructure and Investor Trading," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 22, July-Dece.
    5. Danny Lo, 2015. "Essays in Market Microstructure and Investor Trading," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2015, January-A.

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    More about this item

    Keywords

    Trading; Location; Information; Earnings; Local; Individual investors;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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