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Halo, horn, or dark horse biases: Corporate reputation and the earnings announcement puzzle

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  • Jang, Woan-Yuh
  • Lee, Jie-Haun
  • Hu, Hsueh-Chin

Abstract

The primary goal of this study is to explore whether the halo, horn, or dark horse effects manifest in U.S. stock markets. To investigate the issue, an ideal empirical framework is newly created by combining a proxy for previous corporate perception, corporate reputation, with a well-known financial market anomaly, the earnings announcement puzzle. The interdisciplinary research presented in this study is original in its methodological design. Using companies listed and traded on the NASDAQ, NYSE, and AMEX between the first quarter of 2006 and the second quarter of 2011, the results show that investors' buying behaviors are influenced by significant horn and dark horse effects in the stock markets. Our findings suggest a short-term trading strategy that adopts long (short) positions in low-reputation stocks with the highest (lowest) class of earnings surprise over the three-day period surrounding the earnings announcements, generating a premium of 9.984%. On the basis of the price reversal effect, our results reveal a long-term trading strategy that adopts long (short) positions in low-reputation stocks with the lowest (highest) class of earnings surprises, starting from two days after the earnings announcement. The long-short positions for thirty, forty-five and sixty consecutive trading days will respectively generate premiums of 2.672%, 5.918%, and 7.602%.

Suggested Citation

  • Jang, Woan-Yuh & Lee, Jie-Haun & Hu, Hsueh-Chin, 2016. "Halo, horn, or dark horse biases: Corporate reputation and the earnings announcement puzzle," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 272-289.
    • Handle: RePEc:eee:empfin:v:38:y:2016:i:pa:p:272-289
    DOI: 10.1016/j.jempfin.2016.07.005
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    Cited by:

    1. Dong, Dayong & Yang, Mo & Yang, Gaoju & Chen, Chang-Chih & Zhang, Xinyi, 2022. "Talk less and do more: Expected strategic adjustments vs. actual changes in the Chinese firms," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    2. Luis Manuel Cerdá Suárez & Jesús Perán López & Belén Cambronero Saiz, 2020. "The Influence of Heuristic judgments in Social Media on Corporate Reputation: A Study in Spanish Leader Companies," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
    3. Bai, Min & Xu, Limin & Yu, Chia-Feng (Jeffrey) & Zurbruegg, Ralf, 2020. "Superstition and stock price crash risk," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).

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