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The effect of Industry Homogeneity on the Magnitude of Post- earnings Announcement Drift: Evidence from Korea

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  • Heejeong Shin

    (School of Business, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, South Korea)

  • Su-In Kim

    (College of Business Management, Hongik University, 2639, Sejong-ro, Jochiwon-eup, Sejong 30016, South Korea)

  • Sorah Park

    (School of Business, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, South Korea)

  • Hyejeong Shin

    (Department of Business Administration, Kyonggi University, 154-42, Gwanggyosan-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16227, South Korea)

Abstract

We examine the relationship between industry homogeneity and the magnitude of post-earnings announcement drift (hereafter, PEAD). Given that firms with more homogeneous operating cost structure are conducive to spillover of knowledge among investors, we expect that firms in highly homogenous industries have relatively low magnitude of PEAD. Using firms listed on the Korean Stock Exchange, we find that the magnitude of PEAD is negatively related to industry homogeneity, indicating that investors are more efficient for firms in a highly homogenous industry in which information is likely to be referred to peer firms. In addition, we find that the effect of industry homogeneity on the magnitude of PEAD is robust even after controlling to the effect of industry concentration. Our study contributes to the literature on exploring determinants of PEAD by linking information transfer effect in a homogenous industry to investorsí informational efficiency in capital markets.

Suggested Citation

  • Heejeong Shin & Su-In Kim & Sorah Park & Hyejeong Shin, 2019. "The effect of Industry Homogeneity on the Magnitude of Post- earnings Announcement Drift: Evidence from Korea," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 15(1), pages 107-127.
    • Handle: RePEc:usm:journl:aamjaf01501_107-127
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    References listed on IDEAS

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    3. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    4. Sean Shun Cao & Ganapathi S. Narayanamoorthy, 2012. "Earnings Volatility, Post–Earnings Announcement Drift, and Trading Frictions," Journal of Accounting Research, Wiley Blackwell, vol. 50(1), pages 41-74, March.
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    Cited by:

    1. Josef Fink, 2020. "A Review of the Post-Earnings-Announcement Drift," Working Paper Series, Social and Economic Sciences 2020-04, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    2. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).

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