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Is Online Trading Gambling with Peanuts?
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Is Online Trading Gambling with Peanuts?

Author

Listed:
  • Anderson, Anders

    (Stockholm University)

Abstract

If individuals derive a small utility from gambling, we should observe high turnover in stock portfolios that are of only marginal importance to them. By the use of detailed individual financial data, as weIl as trades from a Swedish online broker, we measure the frequency and cost of online trading in the cross-section and reject this hypothesis. Investors who have online portfolios that constitute a large share of risky assets are more likely to trade, trade more aggressively when they do trade, have lower trading performance, and less wealth. Trading losses are therefore mainly carried by those who can afford to carry them the least.

Suggested Citation

  • Anderson, Anders, 2008. "Is Online Trading Gambling with Peanuts?," SIFR Research Report Series 62, Institute for Financial Research.
    • Handle: RePEc:hhs:sifrwp:0062
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    Citations

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    Cited by:

    1. Benjamin E. Hermalin & Michael S. Weisbach, 2012. "Information Disclosure and Corporate Governance," Journal of Finance, American Finance Association, vol. 67(1), pages 195-234, February.
    2. Stephan Meyer & Sebastian Schroff & Christof Weinhardt, 2014. "(Un)skilled leveraged trading of retail investors," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(2), pages 111-138, May.
    3. Rydqvist, Kristian, 2010. "Tax Arbitrage with Risk and Effort Aversion - Swedish Lottery Bonds 1970-1990," SIFR Research Report Series 70, Institute for Financial Research.
    4. Dreber, Anna & Rand, David G. & Garcia, Justin R. & Wernerfelt, Nils & Lum, J. Koji & Zeckhauser, Richard, 2010. "Dopamine and Risk Preferences in Different Domains," Working Paper Series rwp10-012, Harvard University, John F. Kennedy School of Government.

    More about this item

    Keywords

    Investor behavior; gambling; online trading; overconfidence;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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