IDEAS home Printed from https://ideas.repec.org/p/fgv/eesptd/467.html
   My bibliography  Save this paper

Individuals neglect the informational role of prices: evidence from the stock market

Author

Listed:
  • Chague, Fernando Daniel
  • Bueno, Rodrigo de Losso da Silveira
  • Giovannetti, Bruno Cara

Abstract

We find that a stock price fall in itself induces individual investors to buy the stock. That is, individuals neglect the negative information that may be attached to a stock price fall. Our identification strategy uses two distinct events which generate fictitious price falls. The first is the mechanical stock price adjustment on ex-dividend dates. The second explores the so-called left-digit effect, the well-documented empirical fact that individuals disproportionally focus on left digits when evaluating numbers. Our results contribute to the understanding of why people trade.

Suggested Citation

  • Chague, Fernando Daniel & Bueno, Rodrigo de Losso da Silveira & Giovannetti, Bruno Cara, 2018. "Individuals neglect the informational role of prices: evidence from the stock market," Textos para discussão 467, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    • Handle: RePEc:fgv:eesptd:467
    as

    Download full text from publisher

    File URL: https://repositorio.fgv.br/bitstreams/99ca003b-b581-4295-a83d-ddfcfd68470d/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brad M. Barber & Terrance Odean & Ning Zhu, 2009. "Do Retail Trades Move Markets?," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 151-186, January.
    2. Ron Kaniel & Gideon Saar & Sheridan Titman, 2008. "Individual Investor Trading and Stock Returns," Journal of Finance, American Finance Association, vol. 63(1), pages 273-310, February.
    3. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2013. "Salience and Asset Prices," American Economic Review, American Economic Association, vol. 103(3), pages 623-628, May.
    4. Milgrom, Paul & Stokey, Nancy, 1982. "Information, trade and common knowledge," Journal of Economic Theory, Elsevier, vol. 26(1), pages 17-27, February.
    5. Birru, Justin & Wang, Baolian, 2016. "Nominal price illusion," Journal of Financial Economics, Elsevier, vol. 119(3), pages 578-598.
    6. Thierry Foucault & David Sraer & David J. Thesmar, 2011. "Individual Investors and Volatility," Journal of Finance, American Finance Association, vol. 66(4), pages 1369-1406, August.
    7. Green, T. Clifton & Hwang, Byoung-Hyoun, 2009. "Price-based return comovement," Journal of Financial Economics, Elsevier, vol. 93(1), pages 37-50, July.
    8. Eraker, Bjørn & Ready, Mark, 2015. "Do investors overpay for stocks with lottery-like payoffs? An examination of the returns of OTC stocks," Journal of Financial Economics, Elsevier, vol. 115(3), pages 486-504.
    9. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    10. 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.
    11. Malcolm Baker & Robin Greenwood & Jeffrey Wurgler, 2009. "Catering through Nominal Share Prices," Journal of Finance, American Finance Association, vol. 64(6), pages 2559-2590, December.
    12. Moskowitz, Tobias J. & Ooi, Yao Hua & Pedersen, Lasse Heje, 2012. "Time series momentum," Journal of Financial Economics, Elsevier, vol. 104(2), pages 228-250.
    13. Plott, Charles R & Sunder, Shyam, 1988. "Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets," Econometrica, Econometric Society, vol. 56(5), pages 1085-1118, September.
    14. Lakonishok, Josef & Vermaelen, Theo, 1986. "Tax-induced trading around ex-dividend days," Journal of Financial Economics, Elsevier, vol. 16(3), pages 287-319, July.
    15. Nicola Lacetera & Devin G. Pope & Justin R. Sydnor, 2012. "Heuristic Thinking and Limited Attention in the Car Market," American Economic Review, American Economic Association, vol. 102(5), pages 2206-2236, August.
    16. Juhani T. Linnainmaa, 2010. "Do Limit Orders Alter Inferences about Investor Performance and Behavior?," Journal of Finance, American Finance Association, vol. 65(4), pages 1473-1506, August.
    17. 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.
    18. Bruno Biais & Denis Hilton & Karine Mazurier & Sébastien Pouget, 2005. "Judgemental Overconfidence, Self-Monitoring, and Trading Performance in an Experimental Financial Market," Review of Economic Studies, Oxford University Press, vol. 72(2), pages 287-312.
    19. Eric Anderson & Duncan Simester, 2003. "Effects of $9 Price Endings on Retail Sales: Evidence from Field Experiments," Quantitative Marketing and Economics (QME), Springer, vol. 1(1), pages 93-110, March.
    20. Frank, Murray & Jagannathan, Ravi, 1998. "Why do stock prices drop by less than the value of the dividend? Evidence from a country without taxes," Journal of Financial Economics, Elsevier, vol. 47(2), pages 161-188, February.
    21. John R. Graham & Alok Kumar, 2006. "Do Dividend Clienteles Exist? Evidence on Dividend Preferences of Retail Investors," Journal of Finance, American Finance Association, vol. 61(3), pages 1305-1336, June.
    22. Rendleman, Richard Jr. & Jones, Charles P. & Latane, Henry A., 1982. "Empirical anomalies based on unexpected earnings and the importance of risk adjustments," Journal of Financial Economics, Elsevier, vol. 10(3), pages 269-287, November.
    23. Terrance Odean, 1999. "Do Investors Trade Too Much?," American Economic Review, American Economic Association, vol. 89(5), pages 1279-1298, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Birru, Justin & Chague, Fernando & De-Losso, Rodrigo & Giovannetti, Bruno, 2019. "Attention and Biases: Evidence from Tax-Inattentive Investors," Working Paper Series 2019-22, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    2. Zehao Liu & Chengbo Xie, 2023. "Haircuts, interest rates, and credit cycles," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 76(1), pages 69-109, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fernando Chague & Rodrigo De Losso, Bruno Giovannetti, 2018. "Individual Investors Look at Price Tags," Working Papers, Department of Economics 2018_17, University of São Paulo (FEA-USP).
    2. Fernando Chague & Rodrigo De Losso, Bruno Giovannetti, 2017. "The Price Tag Illusion," Working Papers, Department of Economics 2017_31, University of São Paulo (FEA-USP).
    3. Barrot, Jean-Noel & Kaniel, Ron & Sraer, David, 2016. "Are retail traders compensated for providing liquidity?," Journal of Financial Economics, Elsevier, vol. 120(1), pages 146-168.
    4. Campbell, John Y. & Ramadorai, Tarun & Schwartz, Allie, 2009. "Caught on tape: Institutional trading, stock returns, and earnings announcements," Journal of Financial Economics, Elsevier, vol. 92(1), pages 66-91, April.
    5. Barber, Brad M. & Odean, Terrance, 2013. "The Behavior of Individual Investors," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1533-1570, Elsevier.
    6. Enrichetta Ravina, 2023. "Retail Investors’ Contrarian Behavior Around News, Attention, and the Momentum Effect," Working Paper Series WP 2023-34, Federal Reserve Bank of Chicago.
    7. Wang, Shu-Feng & Lee, Kuan-Hui & Woo, Min-Cheol, 2017. "Do individual short-sellers make money? Evidence from Korea," Journal of Banking & Finance, Elsevier, vol. 79(C), pages 159-172.
    8. Peress, Joel & Schmidt, Daniel, 2021. "Noise traders incarnate: Describing a realistic noise trading process," Journal of Financial Markets, Elsevier, vol. 54(C).
    9. Chen, Zhijuan & Lin, William T. & Ma, Changfeng & Tsai, Shih-Chuan, 2014. "Liquidity provisions by individual investor trading prior to dividend announcements: Evidence from Taiwan," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 358-374.
    10. 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.
    11. Chae, Joon & Yang, Cheol-Won, 2013. "Commonality in individuals' trading: A systematic path between behavioral bias and expected returns," Pacific-Basin Finance Journal, Elsevier, vol. 21(1), pages 1008-1023.
    12. Rawley Heimer, 2014. "Can Leverage Constraints Help Investors?," Working Papers (Old Series) 1433, Federal Reserve Bank of Cleveland.
    13. Wang, Qin & Zhang, Jun, 2015. "Does individual investor trading impact firm valuation?," Journal of Corporate Finance, Elsevier, vol. 35(C), pages 120-135.
    14. Stoffman, Noah, 2014. "Who trades with whom? Individuals, institutions, and returns," Journal of Financial Markets, Elsevier, vol. 21(C), pages 50-75.
    15. Carlo Da Dalt & David Feldman & Gerald Garvey & Peter Joakim Westerholm, 2019. "Contrarians or momentum chasers? Individual investors’ behavior when trading exchange‐traded funds," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(5), pages 553-578, May.
    16. Grinblatt, Mark & Keloharju, Matti & Linnainmaa, Juhani T., 2012. "IQ, trading behavior, and performance," Journal of Financial Economics, Elsevier, vol. 104(2), pages 339-362.
    17. Vimal Balasubramaniam & John Y. Campbell & Tarun Ramadorai & Benjamin Ranish, 2023. "Who Owns What? A Factor Model for Direct Stockholding," Journal of Finance, American Finance Association, vol. 78(3), pages 1545-1591, June.
    18. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    19. Choi, Darwin, 2019. "Disposition sales and stock market liquidity," Journal of Financial Markets, Elsevier, vol. 45(C), pages 19-36.
    20. Chague, Fernando Daniel & Bueno, Rodrigo de Losso da Silveira & Giovannetti, Bruno Cara, 2018. "The short-selling skill of institutions and individuals: a market-wide and out-of-sample analysis," Textos para discussão 469, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

    More about this item

    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:fgv:eesptd:467. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Núcleo de Computação da FGV EPGE (email available below). General contact details of provider: https://edirc.repec.org/data/eegvfbr.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.