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The performance of amateur traders on a public internet site: a case of a stock-exchange contest

Author

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  • Philippe Bernard

    (LEDa University of Paris-dauphine)

  • Michel Blanchard

    (LEDa University of Paris-dauphine)

Abstract

This paper studies a very thorough e-trading data base, including all of the bid/ask orders and daily portfolio values of more than 600 on-line amateur traders in the Paris Stock market focusing on the stormy period covering 2007-2009. Traders also participate in a monthly contest and can win significant prizes. Our first result emphasizes the huge average losses of amateur traders. On average, portfolio values fall from an initial value of 100 to a terminal value of 7 in the 29 months covered here. Our final value is 28 including rewards. The second result is more surprising. Despite our splitting context, smart traders don't clearly emerge. There is clearly no performance persistence, neither for winners nor for loser. With a very few exceptions, winners seem to be just lucky not skilled.

Suggested Citation

  • Philippe Bernard & Michel Blanchard, 2013. "The performance of amateur traders on a public internet site: a case of a stock-exchange contest," Economics Bulletin, AccessEcon, vol. 33(3), pages 1729-1737.
    • Handle: RePEc:ebl:ecbull:eb-13-00229
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    References listed on IDEAS

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    1. Constantinides, George M, 1985. "The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence: Discussion," Journal of Finance, American Finance Association, vol. 40(3), pages 791-792, July.
    2. Mizrach, Bruce & Weerts, Susan, 2009. "Experts online: An analysis of trading activity in a public Internet chat room," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 266-281, May.
    3. Choi, James J. & Laibson, David & Metrick, Andrew, 2002. "How does the Internet affect trading? Evidence from investor behavior in 401(k) plans," Journal of Financial Economics, Elsevier, vol. 64(3), pages 397-421, June.
    4. Daniel Dorn & Paul Sengmueller, 2009. "Trading as Entertainment?," Management Science, INFORMS, vol. 55(4), pages 591-603, April.
    5. 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.
    6. Shefrin, Hersh & Statman, Meir, 1985. "The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence," Journal of Finance, American Finance Association, vol. 40(3), pages 777-790, July.
    7. Anderson, Anders, 2006. "Is online trading gambling with peanuts?," Papers 06-02, Sonderforschungsbreich 504.
    8. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    9. Brad M. Barber & Yi-Tsung Lee & Yu-Jane Liu & Terrance Odean, 2009. "Just How Much Do Individual Investors Lose by Trading?," The Review of Financial Studies, Society for Financial Studies, vol. 22(2), pages 609-632, February.
    10. Peter O. Dietz, 1968. "Components Of A Measurement Model: Rate Of Return, Risk, And Timing," Journal of Finance, American Finance Association, vol. 23(2), pages 267-275, May.
    11. Brad M. Barber & Terrance Odean, 2002. "Online Investors: Do the Slow Die First?," The Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 455-488, March.
    12. Terrance Odean, 1999. "Do Investors Trade Too Much?," American Economic Review, American Economic Association, vol. 89(5), pages 1279-1298, December.
    13. Brad M. Barber & Terrance Odean, 2001. "The Internet and the Investor," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 41-54, Winter.
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    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G0 - Financial Economics - - General

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