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Myopic Loss Aversion, Information Dissemination, and the Equity Premium Puzzle

Author

Listed:
  • Charles Bellemare
  • Michaela Krause
  • Sabine Kröger
  • Chendi Zhang

Abstract

We experimentally disentangle the effect of information dissemination from the effect of the time horizon on the investment behavior of a myopically loss averse investor. Our findings show that varying the information condition only suffices to induce behavior that is in line with the hypothesis of Myopic Loss Aversion.

Suggested Citation

  • Charles Bellemare & Michaela Krause & Sabine Kröger & Chendi Zhang, 2004. "Myopic Loss Aversion, Information Dissemination, and the Equity Premium Puzzle," Cahiers de recherche 0428, CIRPEE.
    • Handle: RePEc:lvl:lacicr:0428
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    File URL: http://www.cirpee.org/fileadmin/documents/Cahiers_2004/CIRPEE04-28.pdf
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    References listed on IDEAS

    as
    1. Uri Gneezy & Jan Potters, 1997. "An Experiment on Risk Taking and Evaluation Periods," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 631-645.
    2. Uri Gneezy & Arie Kapteyn & Jan Potters, 2003. "Evaluation Periods and Asset Prices in a Market Experiment," Journal of Finance, American Finance Association, vol. 58(2), pages 821-837, April.
    3. Michael S. Haigh & John A. List, 2005. "Do Professional Traders Exhibit Myopic Loss Aversion? An Experimental Analysis," Journal of Finance, American Finance Association, vol. 60(1), pages 523-534, February.
    4. repec:bla:jfinan:v:58:y:2003:i:2:p:821-838 is not listed on IDEAS
    5. Shlomo Benartzi & Richard H. Thaler, 1995. "Myopic Loss Aversion and the Equity Premium Puzzle," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(1), pages 73-92.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

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    More about this item

    Keywords

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    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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