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Systematic noise

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Author Info

  • Barber, Brad M.
  • Odean, Terrance
  • Zhu, Ning
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    Abstract

    We analyze trading records for 66,465 households at a large discount broker and 665,533 investors at a large retail broker to document that the trading of individuals is highly correlated and persistent. This systematic trading of individual investors is not primarily driven by passive reactions to institutional herding, by systematic changes in risk-aversion, or by taxes. Psychological biases likely contribute to the correlated trading of individuals. These biases lead investors to systematically buy stocks with strong recent performance, to refrain from selling stocks held for a loss, and to be net buyers of stocks with unusually high trading volume.

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    Bibliographic Info

    Article provided by Elsevier in its journal Journal of Financial Markets.

    Volume (Year): 12 (2009)
    Issue (Month): 4 (November)
    Pages: 547-569

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    Handle: RePEc:eee:finmar:v:12:y:2009:i:4:p:547-569

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    Web page: http://www.elsevier.com/locate/finmar

    Related research

    Keywords: Individual investors Market efficiency Herding;

    References

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    Citations

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    Cited by:
    1. Philipp Stephan & Rüdiger Nitzsch, 2013. "Do individual investors’ stock recommendations in online communities contain investment value?," Financial Markets and Portfolio Management, Springer, vol. 27(2), pages 149-186, June.
    2. Grinblatt, Mark & Keloharju, Matti & Linnainmaa, Juhani T., 2012. "IQ, trading behavior, and performance," Journal of Financial Economics, Elsevier, vol. 104(2), pages 339-362.
    3. Chen, Zhijuan & Lin, William T. & Ma, Changfeng & Tsai, Shih-Chuan, 2014. "Liquidity provisions by individual investor trading prior to dividend announcements: Evidence from Taiwan," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 358-374.
    4. Chung, Huimin & Sheu, Her-Jiun & Hsu, Shufang, 2010. "Trading platform, market volatility and pricing efficiency in the floor-traded and E-mini index futures markets," International Review of Economics & Finance, Elsevier, vol. 19(4), pages 742-754, October.
    5. Yang, Chunpeng & Yan, Wei & Zhang, Rengui, 2013. "Sentiment approach to negative expected return in the stock market," Economic Modelling, Elsevier, vol. 35(C), pages 30-34.
    6. Erdem, Orhan & Yüksel, Serkan & Arık, Evren, 2013. "Trading Puzzle, Puzzling Trade," MPRA Paper 46804, University Library of Munich, Germany, revised 21 Feb 2013.
    7. Chae, Joon & Yang, Cheol-Won, 2013. "Commonality in individuals' trading: A systematic path between behavioral bias and expected returns," Pacific-Basin Finance Journal, Elsevier, vol. 21(1), pages 1008-1023.
    8. V. I. Yukalov & D. Sornette, 2012. "Quantum decision making by social agents," Papers 1202.4918, arXiv.org.
    9. David Hirshleifer & Danling Jiang, 2010. "A Financing-Based Misvaluation Factor and the Cross-Section of Expected Returns," Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3401-3436.
    10. Robert F. Stambaugh, 2014. "Investment Noise and Trends," NBER Working Papers 20072, National Bureau of Economic Research, Inc.
    11. Baghestanian, Sascha & Walker, Todd B., 2014. "Thar she blows again: Reducing anchoring rekindles bubbles," SAFE Working Paper Series 54, Research Center SAFE - Sustainable Architecture for Finance in Europe, Goethe University Frankfurt.
    12. Chang, Eric C. & Luo, Yan & Ren, Jinjuan, 2013. "Pricing deviation, misvaluation comovement, and macroeconomic conditions," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5285-5299.
    13. Boortz, Christopher K. & Jurkatis, Simon & Kremer, Stephanie & Nautz, Dieter, 2013. "The impact of information risk and market stress on institutional trading: New evidence through the lens of a simulated herd model," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79728, Verein für Socialpolitik / German Economic Association.
    14. Yu-Jane Liu & Chih-Ling Tsai & Ming-Chun Wang & Ning Zhu, 2010. "Prior Consequences and Subsequent Risk Taking: New Field Evidence from the Taiwan Futures Exchange," Management Science, INFORMS, vol. 56(4), pages 606-620, April.
    15. Lunn, Pete, 2011. "The Role of Decision-Making Biases in Ireland's Banking Crisis," Papers WP389, Economic and Social Research Institute (ESRI).
    16. Joseph, Kissan & Babajide Wintoki, M. & Zhang, Zelin, 2011. "Forecasting abnormal stock returns and trading volume using investor sentiment: Evidence from online search," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1116-1127, October.

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