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Accounting†Based Stock Price Anomalies: Separating Market Inefficiencies from Risk

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  • VICTOR BERNARD
  • JACOB THOMAS
  • JAMES WAHLEN

Abstract

. We examine six accounting†based stock price anomalies using two sets of tests to determine the extent to which the anomalies (1) represent market mispricing or (2) reflect premia for unidentified risks. Market mispricing is indicated if the anomalous returns are concentrated around subsequent earnings announcements in patterns suggesting that the earnings information causes traders to re†examine their prior (incorrect) beliefs. Mispricing is also indicated if anomalous returns on zero†investment portfolios are positive, period after period. Our results indicate that an anomaly based on earnings momentum probably reflects market mispricing, but that two value†glamour anomalies (based on the book†market ratio and the earnings†price ratio), and two anomalies based on computerized fundamental analyses (from Ou and Penman 1989 and Holthausen and Larcker 1992) are more likely to reflect risk premia than indicated by prior research. Evidence on a sixth anomaly, based on price momentum, is mixed.

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  • Victor Bernard & Jacob Thomas & James Wahlen, 1997. "Accounting†Based Stock Price Anomalies: Separating Market Inefficiencies from Risk," Contemporary Accounting Research, John Wiley & Sons, vol. 14(2), pages 89-136, June.
  • Handle: RePEc:wly:coacre:v:14:y:1997:i:2:p:89-136
    DOI: 10.1111/j.1911-3846.1997.tb00529.x
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    2. Jan Arvid Berg & Robin Fritsch & Lioba Heimbach & Roger Wattenhofer, 2022. "An Empirical Study of Market Inefficiencies in Uniswap and SushiSwap," Papers 2203.07774, arXiv.org, revised May 2022.
    3. Jennifer Francis & Ryan Lafond & Per Olsson & Katherine Schipper, 2007. "Information Uncertainty and Post‐Earnings‐Announcement‐Drift," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(3‐4), pages 403-433, April.
    4. David Hirshleifer & Sonya S. Lim & Siew Hong Teoh, 2011. "Limited Investor Attention and Stock Market Misreactions to Accounting Information," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 1(1), pages 35-73.
    5. Jennifer L. Blouin & Jana Smith Raedy & Douglas A. Shackelford, 2000. "The Impact of Capital Gains Taxes on Stock Price Reactions to S&P 500 Inclusion," NBER Working Papers 8011, National Bureau of Economic Research, Inc.
    6. Javier Gómez Biscarri & Germán López Espinosa, 2008. "Fundamentals and the accruals puzzle," Faculty Working Papers 02/08, School of Economics and Business Administration, University of Navarra.
    7. Nguyen, Pascal, 2005. "Market underreaction and predictability in the cross-section of Japanese stock returns," Journal of Multinational Financial Management, Elsevier, vol. 15(3), pages 193-210, July.
    8. Jennifer Conrad & Bradford Cornell & Wayne R. Landsman, 2002. "When Is Bad News Really Bad News?," Journal of Finance, American Finance Association, vol. 57(6), pages 2507-2532, December.
    9. David Hirshleifer & Kewei Hou & Siew Hong Teoh, 2012. "The Accrual Anomaly: Risk or Mispricing?," Management Science, INFORMS, vol. 58(2), pages 320-335, February.
    10. Wu, Juan (Julie) & Zhang, Jianzhong (Andrew), 2019. "Short selling and market anomalies," Journal of Financial Markets, Elsevier, vol. 46(C).
    11. 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.
    12. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    13. Boonenkamp, Ute & Kempf, Alexander & Homburg, Carsten, 2009. "Fundamental information in technical trading strategies," CFR Working Papers 08-12, University of Cologne, Centre for Financial Research (CFR).
    14. Ron Bird & Richard Gerlach, 2006. "A Bayesian Model Averaging Approach to Enhance Value Investment," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 5(2), pages 111-127, August.
    15. Li, Ken, 2022. "Textual fundamentals in earnings press releases," Advances in accounting, Elsevier, vol. 57(C).
    16. Photis Panayides & Neophytos Lambertides, 2011. "Fundamental Analysis and Relative Efficiency of Maritime Firms: Dry Bulk vs Tanker Firms," Chapters, in: Kevin Cullinane (ed.), International Handbook of Maritime Economics, chapter 5, Edward Elgar Publishing.
    17. Rimona Palas & Amos Baranes, 2019. "Making investment decisions using XBRL filing data," Accounting Research Journal, Emerald Group Publishing Limited, vol. 32(4), pages 587-609, November.
    18. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    19. Ole‐Kristian Hope & Tony Kang & Wayne B. Thomas & Florin Vasvari, 2008. "Pricing and Mispricing Effects of SFAS 131," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(3‐4), pages 281-306, April.
    20. Konstantinidi, Theodosia, 2022. "Firm life cycle, expectation errors and future stock returns," Journal of Banking & Finance, Elsevier, vol. 143(C).
    21. Jennifer L. Blouin & Jana Smith Raedy & Douglas A. Shackelford, 2000. "Capital Gains Holding Periods and Equity Trading: Evidence from the 1998 Tax Act," NBER Working Papers 7827, National Bureau of Economic Research, Inc.
    22. Berkman, Henk & Dimitrov, Valentin & Jain, Prem C. & Koch, Paul D. & Tice, Sheri, 2009. "Sell on the news: Differences of opinion, short-sales constraints, and returns around earnings announcements," Journal of Financial Economics, Elsevier, vol. 92(3), pages 376-399, June.
    23. Sarfraz A. Khan & Gerald Lobo & Emeka T. Nwaeze, 2017. "Public re-release of going-concern opinions and market reaction," Accounting and Business Research, Taylor & Francis Journals, vol. 47(3), pages 237-267, April.
    24. Schnaubelt, Matthias & Seifert, Oleg, 2020. "Valuation ratios, surprises, uncertainty or sentiment: How does financial machine learning predict returns from earnings announcements?," FAU Discussion Papers in Economics 04/2020, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    25. Chau Duong & Gioia Pescetto & Daniel Santamaria, 2014. "How value-glamour investors use financial information: UK evidence of investors' confirmation bias," The European Journal of Finance, Taylor & Francis Journals, vol. 20(6), pages 524-549, June.

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