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Industry information and the 52-week high effect

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  • Hong, Xin
  • Jordan, Bradford D.
  • Liu, Mark H.

Abstract

We find that the 52-week high effect (George and Hwang, 2004) cannot be explained by standard risk factors. Instead, it is more consistent with investor underreaction caused by anchoring bias: the presumably more sophisticated institutional investors suffer less from this bias and buy (sell) stocks close to (far from) their 52-week highs. Further, the effect is mainly driven by investor underreaction to industry instead of firm-specific information. The extent of underreaction is more for positive than for negative industry information. The 52-week high strategy works best among stocks with high factor model R-squares and high industry betas (i.e., stocks whose values are more affected by industry factors and less affected by firm-specific information). An industry 52-week high strategy to buy (sell) industries whose total capitalizations are close to (far from) their 52-week highs outperforms an idiosyncratic 52-week high strategy to buy stocks with prices close to their 52-week highs and short stocks in the same industry with prices far from their 52-week highs.

Suggested Citation

  • Hong, Xin & Jordan, Bradford D. & Liu, Mark H., 2015. "Industry information and the 52-week high effect," Pacific-Basin Finance Journal, Elsevier, vol. 32(C), pages 111-130.
    • Handle: RePEc:eee:pacfin:v:32:y:2015:i:c:p:111-130
    DOI: 10.1016/j.pacfin.2015.02.011
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    2. Noman, Abdullah & Naka, Atsuyuki & Zirek, Duygu, 2017. "Examining return predictability of industry style portfolios with prior return relative to a benchmark," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 193-203.
    3. Lee, Eunju & Piqueira, Natalia, 2017. "Short selling around the 52-week and historical highs," Journal of Financial Markets, Elsevier, vol. 33(C), pages 75-101.
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    5. Chen, An-Sing & Yang, Wayne, 2016. "Echo effects and the returns from 52-week high strategies," Finance Research Letters, Elsevier, vol. 16(C), pages 38-46.
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    8. Smith, Garrett C. & Coy, Jeffrey M. & Spieler, Andrew C., 2019. "Cross-border transactions, mergers and the inconsistency of international reference points," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 14-21.

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