IDEAS home Printed from https://ideas.repec.org/p/iso/wpaper/0098.html
   My bibliography  Save this paper

Media, Limited Attention and the Propensity of Individuals to Buy Stocks

Author

Listed:
  • Leif Brandes

    () (Institute for Strategy and Business Economics, University of Zurich)

  • Katja Rost

    () (Institute of Organization and Administrative Science, University of Zurich)

Abstract

This paper contributes to the existing literature on media content and asset prices by analyzing the relationship between the adoption of media guidance and a personÕs propensity to buy stocks. We provide empirical evidence on this relationship while controlling for a broad range of individual characteristics and preferences. The approach is based on a recent study that suggests that investors are characterized by limited attention and use media as a heuristic when deciding which assets to buy. In line with this view, it turns out that the link between media guidance and the propensity of individuals to buy stocks is extremely robust. However, our results contradict previous findings insofar as this relationship is not moderated by a personÕs degree of attention allocation to investment aspects. As the literature shows stocks with media coverage to underperform those without coverage, we conclude that the adoption of this heuristic can be very costly to investors.

Suggested Citation

  • Leif Brandes & Katja Rost, 2009. "Media, Limited Attention and the Propensity of Individuals to Buy Stocks," Working Papers 0098, University of Zurich, Institute for Strategy and Business Economics (ISU), revised Sep 2009.
  • Handle: RePEc:iso:wpaper:0098
    as

    Download full text from publisher

    File URL: http://repec.business.uzh.ch/RePEc/iso/ISU_WPS/98_ISU_full.pdf
    File Function: Revised version, 2009
    Download Restriction: no

    References listed on IDEAS

    as
    1. Fama, Eugene F. & French, Kenneth R., 2007. "Disagreement, tastes, and asset prices," Journal of Financial Economics, Elsevier, vol. 83(3), pages 667-689, March.
    2. Terrance Odean, 1998. "Volume, Volatility, Price, and Profit When All Traders Are Above Average," Journal of Finance, American Finance Association, vol. 53(6), pages 1887-1934, December.
    3. Shleifer, Andrei & Vishny, Robert W, 1997. " The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    4. repec:hrv:faseco:30747159 is not listed on IDEAS
    5. Markku Kaustia & Samuli Knüpfer, 2008. "Do Investors Overweight Personal Experience? Evidence from IPO Subscriptions," Journal of Finance, American Finance Association, vol. 63(6), pages 2679-2702, December.
    6. Stefano DellaVigna & Ethan Kaplan, 2007. "The Fox News Effect: Media Bias and Voting," The Quarterly Journal of Economics, Oxford University Press, vol. 122(3), pages 1187-1234.
    7. Lewellen, Wilbur G & Lease, Ronald C & Schlarbaum, Gary G, 1977. "Patterns of Investment Strategy and Behavior among Individual Investors," The Journal of Business, University of Chicago Press, vol. 50(3), pages 296-333, July.
    8. Froot, Kenneth A. & O'Connell, Paul G. J. & Seasholes, Mark S., 2001. "The portfolio flows of international investors," Journal of Financial Economics, Elsevier, vol. 59(2), pages 151-193, February.
    9. Hirshleifer, David & Subrahmanyam, Avanidhar & Titman, Sheridan, 2006. "Feedback and the success of irrational investors," Journal of Financial Economics, Elsevier, vol. 81(2), pages 311-338, August.
    10. De Long, J Bradford, et al, 1991. "The Survival of Noise Traders in Financial Markets," The Journal of Business, University of Chicago Press, vol. 64(1), pages 1-19, January.
    11. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    12. Peter M. DeMarzo & Dimitri Vayanos & Jeffrey Zwiebel, 2003. "Persuasion Bias, Social Influence, and Unidimensional Opinions," The Quarterly Journal of Economics, Oxford University Press, vol. 118(3), pages 909-968.
    13. Catherine C. Eckel & Philip J. Grossman, 2008. "Forecasting Risk Attitudes: An Experimental Study Using Actual and Forecast Gamble Choices," Monash Economics Working Papers archive-01, Monash University, Department of Economics.
    14. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    15. 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.
    16. repec:hrv:faseco:33078973 is not listed on IDEAS
    17. Brad M. Barber & Terrance Odean, 2001. "Boys will be Boys: Gender, Overconfidence, and Common Stock Investment," The Quarterly Journal of Economics, Oxford University Press, vol. 116(1), pages 261-292.
    18. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    19. Lease, Ronald C & Lewellen, Wilbur G & Schlarbaum, Gary G, 1974. "The Individual Investor: Attributes and Attitudes," Journal of Finance, American Finance Association, vol. 29(2), pages 413-433, May.
    20. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
    21. Brad M. Barber & Terrance Odean, 2002. "Online Investors: Do the Slow Die First?," Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 455-488, March.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    media; investor behavior; limited attention; selection model;

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iso:wpaper:0098. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (IBW IT). General contact details of provider: http://edirc.repec.org/data/isuzhch.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.