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Individual investor attention and the predictability of stock market volatility and returns

Author

Listed:
  • F. Henrique Castro

    (Sao Paulo School of Economics, FGV EESP)

  • Marcelo Guzella

    (Universidade de Sao Paulo)

Abstract

We study individual investor attention to the most important stock market index in Brazil and its dynamics with market volatility and returns. We find that attention is a leading indicator of future volatility and that returns are a leading indicator of future attention. The results are robust to different specifications.

Suggested Citation

  • F. Henrique Castro & Marcelo Guzella, 2021. "Individual investor attention and the predictability of stock market volatility and returns," Economics Bulletin, AccessEcon, vol. 41(3), pages 1418-1424.
    • Handle: RePEc:ebl:ecbull:eb-21-00681
    as

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    References listed on IDEAS

    as
    1. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    2. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    3. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    4. Gustavo Grullon, 2004. "Advertising, Breadth of Ownership, and Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 17(2), pages 439-461.
    5. Chronopoulos, Dimitris K. & Papadimitriou, Fotios I. & Vlastakis, Nikolaos, 2018. "Information demand and stock return predictability," Journal of International Money and Finance, Elsevier, vol. 80(C), pages 59-74.
    6. Seasholes, Mark S. & Wu, Guojun, 2007. "Predictable behavior, profits, and attention," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 590-610, December.
    7. Mondria, Jordi & Wu, Thomas & Zhang, Yi, 2010. "The determinants of international investment and attention allocation: Using internet search query data," Journal of International Economics, Elsevier, vol. 82(1), pages 85-95, September.
    8. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Investor attention; Google Trends; volatility;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services

    Statistics

    Access and download statistics

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