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Highs and Lows: A Behavioral and Technical Analysis

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  • 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. repec:hrv:faseco:30747159 is not listed on IDEAS
    2. Chip Heath & Steven Huddart & Mark Lang, 1999. "Psychological Factors and Stock Option Exercise," The Quarterly Journal of Economics, Oxford University Press, vol. 114(2), pages 601-627.
    3. Ferris, Stephen P & Haugen, Robert A & Makhija, Anil K, 1988. " Predicting Contemporary Volume with Historic Volume at Differential Price Levels: Evidence Supporting the Disposition Effect," Journal of Finance, American Finance Association, vol. 43(3), pages 677-697, July.
    4. Meir Statman & Steven Thorley & Keith Vorkink, 2006. "Investor Overconfidence and Trading Volume," Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1531-1565.
    5. 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.
    6. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
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    Cited by:

    1. repec:eee:riibaf:v:42:y:2017:i:c:p:674-688 is not listed on IDEAS
    2. 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.

    More about this item

    Keywords

    behavioral finance; technical analysis; turnover; n-day high/low; abnormal returns;

    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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