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Fundamental strength and the 52-week high anchoring effect

Author

Listed:
  • Zhaobo Zhu

    (Shenzhen University)

  • Licheng Sun

    (Strome College of Business, Old Dominion University)

  • Min Chen

    (San Francisco State University)

Abstract

When stocks are trading near their 52-week high investors tend to have low expectation about their future returns. We contrast such expectations against firms’ fundamental strength. For firms with strong fundamentals, we confirm that investors’ expectations are too low, which is consistent with the hypothesis that the 52-week high acts as a psychological anchor. We report that a fundamental-strength enhanced 52-week high trading strategy significantly outperform the unconditional strategy by nearly doubling its average return. Moreover, we provide interesting evidence that this anomalous effect is most evident when investor sentiment is high, but absent among more sophisticated institutions and short sellers.

Suggested Citation

  • Zhaobo Zhu & Licheng Sun & Min Chen, 2023. "Fundamental strength and the 52-week high anchoring effect," Review of Quantitative Finance and Accounting, Springer, vol. 60(4), pages 1515-1542, May.
    • Handle: RePEc:kap:rqfnac:v:60:y:2023:i:4:d:10.1007_s11156-023-01138-3
    DOI: 10.1007/s11156-023-01138-3
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    as
    1. Cen, Ling & Hilary, Gilles & Wei, K. C. John, 2013. "The Role of Anchoring Bias in the Equity Market: Evidence from Analysts’ Earnings Forecasts and Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(1), pages 47-76, February.
    2. Harrison Hong & Terence Lim & Jeremy C. Stein, 2000. "Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies," Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, February.
    3. Colin Camerer & Linda Babcock & George Loewenstein & Richard Thaler, 1997. "Labor Supply of New York City Cabdrivers: One Day at a Time," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 407-441.
    4. Chip Heath & Steven Huddart & Mark Lang, 1999. "Psychological Factors and Stock Option Exercise," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 601-627.
    5. David Genesove & Christopher Mayer, 2001. "Loss Aversion and Seller Behavior: Evidence from the Housing Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1233-1260.
    6. Eugene F. Fama & Kenneth R. French, 2008. "Dissecting Anomalies," Journal of Finance, American Finance Association, vol. 63(4), pages 1653-1678, August.
    7. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2012. "The short of it: Investor sentiment and anomalies," Journal of Financial Economics, Elsevier, vol. 104(2), pages 288-302.
    8. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    9. Nicole Y. Choi & Richard W. Sias, 2012. "Why Does Financial Strength Forecast Stock Returns? Evidence from Subsequent Demand by Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 25(5), pages 1550-1587.
    10. Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    11. Mark Grinblatt & Matti Keloharju, 2001. "What Makes Investors Trade?," Journal of Finance, American Finance Association, vol. 56(2), pages 589-616, April.
    12. Birru, Justin & Wang, Baolian, 2016. "Nominal price illusion," Journal of Financial Economics, Elsevier, vol. 119(3), pages 578-598.
    13. Tobias J. Moskowitz & Mark Grinblatt, 1999. "Do Industries Explain Momentum?," Journal of Finance, American Finance Association, vol. 54(4), pages 1249-1290, August.
    14. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    15. Li, Jun & Yu, Jianfeng, 2012. "Investor attention, psychological anchors, and stock return predictability," Journal of Financial Economics, Elsevier, vol. 104(2), pages 401-419.
    16. Zhi Da & Qianqiu Liu & Ernst Schaumburg, 2014. "A Closer Look at the Short-Term Return Reversal," Management Science, INFORMS, vol. 60(3), pages 658-674, March.
    17. Mark Grinblatt & Matti Keloharju, 2000. "What Makes Investors Trade?," Yale School of Management Working Papers ysm146, Yale School of Management, revised 01 Nov 2001.
    18. Piotroski, JD, 2000. "Value investing: The use of historical financial statement information to separate winners from losers," Journal of Accounting Research, Wiley Blackwell, vol. 38, pages 1-41.
    19. R. David Mclean & Jeffrey Pontiff, 2016. "Does Academic Research Destroy Stock Return Predictability?," Journal of Finance, American Finance Association, vol. 71(1), pages 5-32, February.
    20. repec:bla:jfinan:v:59:y:2004:i:5:p:2145-2176 is not listed on IDEAS
    21. Chordia, Tarun & Subrahmanyam, Avanidhar & Tong, Qing, 2014. "Have capital market anomalies attenuated in the recent era of high liquidity and trading activity?," Journal of Accounting and Economics, Elsevier, vol. 58(1), pages 41-58.
    22. Robert Novy-Marx & Mihail Velikov, 2016. "A Taxonomy of Anomalies and Their Trading Costs," The Review of Financial Studies, Society for Financial Studies, vol. 29(1), pages 104-147.
    23. Zhu, Zhaobo & Sun, Licheng & Yung, Kenneth & Chen, Min, 2020. "Limited investor attention, relative fundamental strength, and the cross-section of stock returns," The British Accounting Review, Elsevier, vol. 52(4).
    24. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    25. Han, Yufeng & Zhou, Guofu & Zhu, Yingzi, 2016. "A trend factor: Any economic gains from using information over investment horizons?," Journal of Financial Economics, Elsevier, vol. 122(2), pages 352-375.
    26. Jiao, Yawen & Massa, Massimo & Zhang, Hong, 2016. "Short selling meets hedge fund 13F: An anatomy of informed demand," Journal of Financial Economics, Elsevier, vol. 122(3), pages 544-567.
    27. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    28. Barroso, Pedro & Santa-Clara, Pedro, 2015. "Momentum has its moments," Journal of Financial Economics, Elsevier, vol. 116(1), pages 111-120.
    29. John R. Nofsinger & Richard W. Sias, 1999. "Herding and Feedback Trading by Institutional and Individual Investors," Journal of Finance, American Finance Association, vol. 54(6), pages 2263-2295, December.
    30. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    31. Baker, Malcolm & Pan, Xin & Wurgler, Jeffrey, 2012. "The effect of reference point prices on mergers and acquisitions," Journal of Financial Economics, Elsevier, vol. 106(1), pages 49-71.
    32. Tyler Shumway & Vincent A. Warther, 1999. "The Delisting Bias in CRSP's Nasdaq Data and Its Implications for the Size Effect," Journal of Finance, American Finance Association, vol. 54(6), pages 2361-2379, December.
    33. Huang, Shiyang & Lin, Tse-Chun & Xiang, Hong, 2021. "Psychological barrier and cross-firm return predictability," Journal of Financial Economics, Elsevier, vol. 142(1), pages 338-356.
    34. Joost Driessen & Tse-Chun Lin & Otto Van Hemert, 2013. "How the 52-Week High and Low Affect Option-Implied Volatilities and Stock Return Moments," Review of Finance, European Finance Association, vol. 17(1), pages 369-401.
    35. Jonathan E. Ingersoll & Lawrence J. Jin, 2013. "Realization Utility with Reference-Dependent Preferences," The Review of Financial Studies, Society for Financial Studies, vol. 26(3), pages 723-767.
    36. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    37. Boehmer, Ekkehart & Huszar, Zsuzsa R. & Jordan, Bradford D., 2010. "The good news in short interest," Journal of Financial Economics, Elsevier, vol. 96(1), pages 80-97, April.
    38. Shumway, Tyler, 1997. "The Delisting Bias in CRSP Data," Journal of Finance, American Finance Association, vol. 52(1), pages 327-340, March.
    39. Fama, Eugene F. & French, Kenneth R., 2006. "Profitability, investment and average returns," Journal of Financial Economics, Elsevier, vol. 82(3), pages 491-518, December.
    40. Yu, Jianfeng & Yuan, Yu, 2011. "Investor sentiment and the mean-variance relation," Journal of Financial Economics, Elsevier, vol. 100(2), pages 367-381, May.
    41. Birru, Justin, 2015. "Psychological Barriers, Expectational Errors, and Underreaction to News," Working Paper Series 2014-03, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    42. Inga Chira & Luis Garcia-Feijoo & Jeff Madura, 2019. "Use of reference point theory to explain the price paid for private targets," Review of Quantitative Finance and Accounting, Springer, vol. 53(2), pages 465-491, August.
    43. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
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    2. Zhaobo Zhu & Licheng Sun, 2024. "When Buffett Meets Bollinger: An Integrated Approach to Fundamental and Technical Analysis," Post-Print hal-04703041, HAL.

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    More about this item

    Keywords

    Anchoring bias; Underreaction; 52-week high; Fundamental strength;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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