Highs and Lows: A Behavioral and Technical Analysis
AbstractWe 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.
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Bibliographic InfoPaper provided by Rutgers University, Department of Economics in its series Departmental Working Papers with number 200610.
Length: 20 pages
Date of creation: 21 Aug 2006
Date of revision:
Publication status: Published in Applied Financial Economics 19, 2009, 767-77.
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behavioral finance; technical analysis; turnover; n-day high/low; abnormal returns;
Other versions of this item:
- Bruce Mizrach & Susan Weerts, 2009. "Highs and lows: a behavioural and technical analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 19(10), pages 767-777.
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- G20 - Financial Economics - - Financial Institutions and Services - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-09-16 (All new papers)
- NEP-FIN-2006-09-16 (Finance)
- NEP-FMK-2006-09-16 (Financial Markets)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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 677-97, July.
- Lukas Menkhoff & Ulrich Schmidt, 2005.
"The use of trading strategies by fund managers: some first survey evidence,"
Taylor & Francis Journals, vol. 37(15), pages 1719-1730.
- Menkhoff, Lukas & Schmidt, Ulrich, 2005. "The Use of Trading Strategies by Fund Managers: Some First Survey Evidence," Diskussionspapiere der Wirtschaftswissenschaftlichen FakultÃ¤t der Leibniz UniversitÃ¤t Hannover dp-314, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Dan Ariely & George Loewenstein & Drazen Prelec, 2003. ""Coherent Arbitrariness": Stable Demand Curves Without Stable Preferences," The Quarterly Journal of Economics, MIT Press, vol. 118(1), pages 73-105, February.
- Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998.
"A model of investor sentiment,"
Journal of Financial Economics,
Elsevier, vol. 49(3), pages 307-343, September.
- Chip Heath & Steven Huddart & Mark Lang, 1999. "Psychological Factors And Stock Option Exercise," The Quarterly Journal of Economics, MIT Press, vol. 114(2), pages 601-627, May.
- 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.
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