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Post-Earnings Announcement Drift in Spain and Behavioural Finance Models

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  • Carlos Forner
  • Sonia Sanabria

Abstract

Our study examines whether behavioural theories can explain post-earnings announcement drift (i.e. earnings momentum) in the Spanish market. In particular, we test models proposed by Barberis et al. (Journal of Financial Economics, 49, pp. 307-343, 1998), Daniel et al. (Journal of Finance, 53(6), pp. 1839-1885, 1998) and Hong and Stein (Journal of Finance, 54(6), pp. 2143-2184, 1999). Each of these behavioural models draws on two premises - cognitive biases and limits to arbitrage - that we assume will vary with a given country's cultural and institutional features. Therefore, we must exercise caution when extrapolating the favourable results observed in the US market to markets outside of the USA. Our results provide little evidence in support of the hypothesis used to test whether these models can indeed explain the earnings momentum anomaly in the Spanish market. We believe some characteristics of the Spanish market, such as its lower score on the Individualism Index, lower levels of investor protection and code-law-based legal system, may explain why our results differ from those obtained in the USA.

Suggested Citation

  • Carlos Forner & Sonia Sanabria, 2010. "Post-Earnings Announcement Drift in Spain and Behavioural Finance Models," European Accounting Review, Taylor & Francis Journals, vol. 19(4), pages 775-815.
    • Handle: RePEc:taf:euract:v:19:y:2010:i:4:p:775-815
    DOI: 10.1080/09638180903503978
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    Cited by:

    1. Papanastasopoulos, Georgios A. & Tsiritakis, Emmanuel, 2015. "The accrual anomaly in Europe: The role of accounting distortions," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 176-185.
    2. Zhang, Sijia & Gregoriou, Andros, 2020. "Post earnings announcement drift, liquidity and zero leverage firms: Evidence from the UK stock market," Journal of Business Research, Elsevier, vol. 116(C), pages 13-26.
    3. Xi Li & Mingyi Hung & Shiheng Wang, 2015. "Post-Earnings-Announcement Drift in Global Markets: Evidence from an Information Shock," HKUST IEMS Working Paper Series 2015-17, HKUST Institute for Emerging Market Studies, revised Mar 2015.
    4. Kariofyllas, Spyridon & Philippas, Dionisis & Siriopoulos, Costas, 2017. "Cognitive biases in investors' behaviour under stress: Evidence from the London Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 54(C), pages 54-62.
    5. Neszveda, Gábor & Csillag, Balázs, 2022. "Gyorsjelentés - lassú árfolyam? A gyorsjelentés utáni árfolyamsodródás vizsgálata a magyar részvénypiacon [Post-earnings announcement drift on the Hungarian stock market]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 801-824.
    6. Pascal Barneto & Georges Gregorio, 2011. "Normes IFRS et mesure de la performance. Étude comparative auprès des établissements bancaires européens," Post-Print hal-00646454, HAL.

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