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Highs and Lows: A Behavioral and Technical Analysis

Author

Listed:
  • Bruce Mizrach

    (Rutgers University)

  • Susan Weerts

    (Rutgers University)

Abstract

We find that turnover rises on n-day highs and lows and is an increasing function of n. We offer several explanations from the technical and behavioral finance literature for why traders might use these signals. Turnover is persistent following these events, and new lows provide abnormal returns for up to 6 trading days.

Suggested Citation

  • Bruce Mizrach & Susan Weerts, 2006. "Highs and Lows: A Behavioral and Technical Analysis," Departmental Working Papers 200610, Rutgers University, Department of Economics.
    • Handle: RePEc:rut:rutres:200610
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    References listed on IDEAS

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    1. 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.
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    8. 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.
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    10. Meir Statman & Steven Thorley & Keith Vorkink, 2006. "Investor Overconfidence and Trading Volume," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1531-1565.
    11. Lukas Menkhoff & Ulrich Schmidt, 2005. "The use of trading strategies by fund managers: some first survey evidence," Applied Economics, Taylor & Francis Journals, vol. 37(15), pages 1719-1730.
    12. Steven Huddart & Mark Lang & Michelle H. Yetman, 2009. "Volume and Price Patterns Around a Stock's 52-Week Highs and Lows: Theory and Evidence," Management Science, INFORMS, vol. 55(1), pages 16-31, January.
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    Cited by:

    1. Devdeepta Bose & Henning Cordes & Sven Nolte & Judith Christiane Schneider & Colin Farrell Camerer, 2022. "Decision Weights for Experimental Asset Prices Based on Visual Salience," The Review of Financial Studies, Society for Financial Studies, vol. 35(11), pages 5094-5126.
    2. Zain UI Abideen & Zeeshan Ahmed & Huan Qiu & Yiwei Zhao, 2023. "Do Behavioral Biases Affect Investors’ Investment Decision Making? Evidence from the Pakistani Equity Market," Risks, MDPI, vol. 11(6), pages 1-32, June.
    3. Abdin, Syed Zain ul & Farooq, Omer & Sultana, Naheed & Farooq, Mariam, 2017. "The impact of heuristics on investment decision and performance: Exploring multiple mediation mechanisms," Research in International Business and Finance, Elsevier, vol. 42(C), pages 674-688.
    4. Ni, Yensen & Liao, Yi-Ching & Huang, Paoyu, 2015. "MA trading rules, herding behaviors, and stock market overreaction," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 253-265.

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    More about this item

    Keywords

    behavioral finance; technical analysis; turnover; n-day high/low; abnormal returns;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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