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Online Broker Investors: Demographic Information, Investment Strategy, Portfolio Positions, and Trading Activity

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  • Glaser, Markus

    ()
    (Sonderforschungsbereich 504)

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    Abstract

    It is often argued that the internet influences investor behavior. Furthermore, the recent 'bubble' in internet stocks is sometimes ascribed, at least in part, to online trading. However, little is known about how online investors actually behave. This paper contributes to fill this gap. A sample of approximately 3,000 online broker investors is studied over a 51 month period ending in April 2001. The main goal of this paper is to present various descriptive statistics on demographic information, investment strategy, portfolio positions, and trading activity. The main results of this paper can be summarized as follows. Online broker investors trade frequently. The median stock portfolio turnover is about 30 % per month. The average number of stocks in portfolios increases over time suggesting that, ceteris paribus, diversification increases. Trading activity is tilted towards technology, software, and internet stocks. About half of the investors in our sample trade warrants and half of the transactions of all investors are purchases and sales of foreign stocks. Income and age are negatively and the stock portfolio value is positively related to the number of stock transactions. Warrant traders buy and sell significantly more stocks than investors who do not trade warrants. Warrant traders and investors who describe their investment strategy as high risk have higher stock portfolio turnover values whereas the opposite is true for investors who use their online account mainly for retirement savings. The stock portfolio value is negatively related to turnover. The higher the stock portfolio value, the higher the average trading volume per stock market transaction.

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    File URL: http://www.sfb504.uni-mannheim.de/publications/dp03-18.pdf
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    Bibliographic Info

    Paper provided by Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim in its series Sonderforschungsbereich 504 Publications with number 03-18.

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    Length: 42 pages
    Date of creation: 01 Oct 2003
    Date of revision:
    Handle: RePEc:xrs:sfbmaa:03-18

    Note: Financial support from the Deutsche Forschungsgemeinschaft, SFB 504, at the University of Mannheim, is gratefully acknowledged.
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    References

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    1. 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, 04.
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    3. Glaser, Markus & Weber, Martin, 2003. "Overconfidence and Trading Volume," CEPR Discussion Papers 3941, C.E.P.R. Discussion Papers.
    4. Glaser, Markus & Weber, Martin, 2003. "Overconfidence and Trading Volume," Sonderforschungsbereich 504 Publications 03-07, Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim.
    5. 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.
    6. Shiller, Robert J., 1999. "Human behavior and the efficiency of the financial system," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 20, pages 1305-1340 Elsevier.
    7. Barberis, Nicholas & Thaler, Richard, 2003. "A survey of behavioral finance," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 18, pages 1053-1128 Elsevier.
    8. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    9. Terrance Odean, 1998. "Are Investors Reluctant to Realize Their Losses?," Journal of Finance, American Finance Association, vol. 53(5), pages 1775-1798, October.
    10. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119, September.
    11. 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.
    12. Spanos,Aris, 1986. "Statistical Foundations of Econometric Modelling," Cambridge Books, Cambridge University Press, number 9780521269124.
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    Cited by:
    1. Markus Glaser & Martin Weber, 2007. "Overconfidence and trading volume," The Geneva Papers on Risk and Insurance Theory, Springer, vol. 32(1), pages 1-36, June.
    2. Glaser, Markus & Weber, Martin, 2005. "Which Past Returns Affect Trading Volume?," SIFR Research Report Series 35, Institute for Financial Research.
    3. Glaser, Markus & Weber, Martin, 2009. "Which past returns affect trading volume?," Journal of Financial Markets, Elsevier, vol. 12(1), pages 1-31, February.
    4. Ying Zhang & Peggy Swanson, 2010. "Are day traders bias free?—evidence from internet stock message boards," Journal of Economics and Finance, Springer, vol. 34(1), pages 96-112, January.
    5. Glaser, Markus & Weber, Martin, 2005. "Overconfidence and Trading Volume," SIFR Research Report Series 40, Institute for Financial Research.
    6. Shaneera Boolell-Gunesh, 2008. "Un portrait de l?investisseur individuel français," Working Papers of LaRGE Research Center 2008-12, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    7. Abreu, Margarida & Mendes, Victor, 2012. "Information, overconfidence and trading: Do the sources of information matter?," Journal of Economic Psychology, Elsevier, vol. 33(4), pages 868-881.

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