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The cross-section of speculator skill: Evidence from day trading

Author

Listed:
  • Barber, Brad M.
  • Lee, Yi-Tsung
  • Liu, Yu-Jane
  • Odean, Terrance

Abstract

We document economically large cross-sectional differences in the before- and after-fee returns earned by speculative traders by analyzing day traders in Taiwan from 1992 to 2006. We sort day traders based on their returns in year y and analyze their performance in year y+1; the 500 top-ranked day traders go on to earn daily before-fee (after-fee) returns of 61.3 (37.9) bps per day; bottom-ranked day traders go on to earn daily before-fee (after-fee) returns of −11.5 (−28.9)bps per day. Less than 1% of the day trader population is able to predictably and reliably earn positive abnormal returns net of fees.

Suggested Citation

  • Barber, Brad M. & Lee, Yi-Tsung & Liu, Yu-Jane & Odean, Terrance, 2014. "The cross-section of speculator skill: Evidence from day trading," Journal of Financial Markets, Elsevier, vol. 18(C), pages 1-24.
  • Handle: RePEc:eee:finmar:v:18:y:2014:i:c:p:1-24
    DOI: 10.1016/j.finmar.2013.05.006
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    References listed on IDEAS

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    1. Zoran Ivković & Scott Weisbenner, 2005. "Local Does as Local Is: Information Content of the Geography of Individual Investors' Common Stock Investments," Journal of Finance, American Finance Association, vol. 60(1), pages 267-306, February.
    2. Garvey, Ryan & Murphy, Anthony, 2005. "Entry, exit and trading profits: A look at the trading strategies of a proprietary trading team," Journal of Empirical Finance, Elsevier, vol. 12(5), pages 629-649, December.
    3. Harris, Jeffrey H. & Schultz, Paul H., 1998. "The trading profits of SOES bandits," Journal of Financial Economics, Elsevier, vol. 50(1), pages 39-62, October.
    4. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    5. Grinblatt, Mark & Keloharju, Matti & Linnainmaa, Juhani T., 2012. "IQ, trading behavior, and performance," Journal of Financial Economics, Elsevier, vol. 104(2), pages 339-362.
    6. Ivković, Zoran & Sialm, Clemens & Weisbenner, Scott, 2008. "Portfolio Concentration and the Performance of Individual Investors," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(3), pages 613-655, September.
    7. Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
    8. George M Korniotis & Alok Kumar, 2011. "Do Older Investors Make Better Investment Decisions?," The Review of Economics and Statistics, MIT Press, vol. 93(1), pages 244-265, February.
    9. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    10. Juhani T. Linnainmaa, 2011. "Why Do (Some) Households Trade So Much?," Review of Financial Studies, Society for Financial Studies, vol. 24(5), pages 1630-1666.
    11. Seasholes, Mark S. & Wu, Guojun, 2007. "Predictable behavior, profits, and attention," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 590-610, December.
    12. Brad M. Barber & Yi‐Tsung Lee & Yu‐Jane Liu & Terrance Odean, 2007. "Is the Aggregate Investor Reluctant to Realise Losses? Evidence from Taiwan," European Financial Management, European Financial Management Association, vol. 13(3), pages 423-447, June.
    13. Joon Chae & Albert Wang, 2009. "Determinants of Trading Profits: The Liquidity Provision Decision," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 45(6), pages 33-56, November.
    14. Korniotis, George M. & Kumar, Alok, 2013. "Do Portfolio Distortions Reflect Superior Information or Psychological Biases?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(1), pages 1-45, February.
    15. Alok Kumar, 2009. "Who Gambles in the Stock Market?," Journal of Finance, American Finance Association, vol. 64(4), pages 1889-1933, August.
    16. Terrance Odean, 1999. "Do Investors Trade Too Much?," American Economic Review, American Economic Association, vol. 89(5), pages 1279-1298, December.
    17. Grinblatt, Mark & Keloharju, Matti, 2000. "The investment behavior and performance of various investor types: a study of Finland's unique data set," Journal of Financial Economics, Elsevier, vol. 55(1), pages 43-67, January.
    18. Brad M. Barber & Yi-Tsung Lee & Yu-Jane Liu & Terrance Odean, 2009. "Just How Much Do Individual Investors Lose by Trading?," Review of Financial Studies, Society for Financial Studies, vol. 22(2), pages 609-632, February.
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    More about this item

    Keywords

    Speculative trading; Day traders; Individual investors; Investor performance;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles

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