IDEAS home Printed from https://ideas.repec.org/a/eee/empfin/v62y2021icp315-326.html
   My bibliography  Save this article

In search of retail investors: The effect of retail investor attention on odd lot trades

Author

Listed:
  • Kupfer, Alexander
  • Schmidt, Markus G.

Abstract

We study the effect of retail investor attention on odd lot trading. We observe that increases in abnormal Google search volume predict odd-lot trading. Importantly, this relationship is share price-sensitive: For stocks priced below $11, an increase in abnormal search volume leads to less odd lot trading. For stocks priced above $46, on the other hand, an increase in abnormal search volume leads to more odd lot trading. For a stock priced at $78 – the mean share price in our sample – a one standard deviation increase of abnormal search volume increases the average share of odd lot trading by 10 basis points. This effect is even stronger for more expensive stocks. Our results are consistent with attention-induced trading when investors face wealth constraints and are robust to alternative channels including news and institutional investor attention.

Suggested Citation

  • Kupfer, Alexander & Schmidt, Markus G., 2021. "In search of retail investors: The effect of retail investor attention on odd lot trades," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 315-326.
    • Handle: RePEc:eee:empfin:v:62:y:2021:i:c:p:315-326
    DOI: 10.1016/j.jempfin.2021.04.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927539821000293
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jempfin.2021.04.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Davis, Ryan L. & Roseman, Brian S. & Van Ness, Bonnie F. & Van Ness, Robert, 2017. "1-share orders and trades," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 109-117.
    2. Matthias Bank & Martin Larch & Georg Peter, 2011. "Google search volume and its influence on liquidity and returns of German stocks," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 25(3), pages 239-264, September.
    3. Azi Ben-Rephael & Zhi Da & Ryan D. Israelsen, 2017. "It Depends on Where You Search: Institutional Investor Attention and Underreaction to News," The Review of Financial Studies, Society for Financial Studies, vol. 30(9), pages 3009-3047.
    4. Hardy Johnson, 2014. "Odd Lot Trades: The Behavior, Characteristics, and Information Content, Over Time," The Financial Review, Eastern Finance Association, vol. 49(4), pages 669-684, November.
    5. Hasbrouck, Joel & Saar, Gideon, 2013. "Low-latency trading," Journal of Financial Markets, Elsevier, vol. 16(4), pages 646-679.
    6. Soeren Hvidkjaer, 2008. "Small Trades and the Cross-Section of Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1123-1151, May.
    7. Lily Fang & Joel Peress, 2009. "Media Coverage and the Cross‐section of Stock Returns," Journal of Finance, American Finance Association, vol. 64(5), pages 2023-2052, October.
    8. Ding, Rong & Hou, Wenxuan, 2015. "Retail investor attention and stock liquidity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 12-26.
    9. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    10. Hardy Johnson & Brian Roseman, 2017. "Odd Lot Order Aggressiveness And Stealth Trading," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 40(2), pages 249-281, June.
    11. Michael S. Drake & Darren T. Roulstone & Jacob R. Thornock, 2012. "Investor Information Demand: Evidence from Google Searches Around Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 50(4), pages 1001-1040, September.
    12. 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.
    13. Dyl, Edward A. & Maberly, Edwin D., 1992. "Odd-Lot Transactions around the Turn of the Year and the January Effect," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 27(4), pages 591-604, December.
    14. Jonathan Brogaard & Terrence Hendershott & Ryan Riordan, 2014. "High-Frequency Trading and Price Discovery," The Review of Financial Studies, Society for Financial Studies, vol. 27(8), pages 2267-2306.
    15. Barclay, Michael J. & Warner, Jerold B., 1993. "Stealth trading and volatility : Which trades move prices?," Journal of Financial Economics, Elsevier, vol. 34(3), pages 281-305, December.
    16. Roseman, Brian S. & Van Ness, Bonnie F. & Van Ness, Robert A., 2018. "Odd-lot trading in U.S. equities," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 125-133.
    17. Joel Peress & Daniel Schmidt, 2020. "Glued to the TV: Distracted Noise Traders and Stock Market Liquidity," Journal of Finance, American Finance Association, vol. 75(2), pages 1083-1133, April.
    18. Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011. "Does Algorithmic Trading Improve Liquidity?," Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, February.
    19. Bertsimas, Dimitris & Lo, Andrew W., 1998. "Optimal control of execution costs," Journal of Financial Markets, Elsevier, vol. 1(1), pages 1-50, April.
    20. Joshua Madsen & Marina Niessner, 2019. "Is Investor Attention for Sale? The Role of Advertising in Financial Markets," Journal of Accounting Research, Wiley Blackwell, vol. 57(3), pages 763-795, June.
    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. Wu, Chunying & Xiong, Xiong & Gao, Ya & Zhang, Jin, 2022. "Does social media distort price discovery? Evidence from rumor clarifications," Research in International Business and Finance, Elsevier, vol. 62(C).
    2. Goodell, John W. & Kumar, Satish & Li, Xiao & Pattnaik, Debidutta & Sharma, Anuj, 2022. "Foundations and research clusters in investor attention: Evidence from bibliometric and topic modelling analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 511-529.

    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. Gang Chu & Xiao Li & Dehua Shen & Yongjie Zhang, 2021. "Stock Crashes and Jumps Reactions to Information Demand and Supply: An Intraday Analysis," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(3), pages 397-427, September.
    2. Jūra Liaukonytė & Alminas Žaldokas, 2022. "Background Noise? TV Advertising Affects Real-Time Investor Behavior," Management Science, INFORMS, vol. 68(4), pages 2465-2484, April.
    3. Adachi, Yuta & Masuda, Motoki & Takeda, Fumiko, 2017. "Google search intensity and its relationship to the returns and liquidity of Japanese startup stocks," Pacific-Basin Finance Journal, Elsevier, vol. 46(PB), pages 243-257.
    4. Meshcheryakov, Artem & Winters, Drew B., 2022. "Retail investor attention and the limit order book: Intraday analysis of attention-based trading," International Review of Financial Analysis, Elsevier, vol. 81(C).
    5. Goodell, John W. & Kumar, Satish & Li, Xiao & Pattnaik, Debidutta & Sharma, Anuj, 2022. "Foundations and research clusters in investor attention: Evidence from bibliometric and topic modelling analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 511-529.
    6. Umar, Tarik, 2022. "Complexity aversion when SeekingAlpha," Journal of Accounting and Economics, Elsevier, vol. 73(2).
    7. Roseman, Brian S. & Van Ness, Bonnie F. & Van Ness, Robert A., 2018. "Odd-lot trading in U.S. equities," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 125-133.
    8. Geng, Yuedan & Ye, Qiang & Jin, Yu & Shi, Wen, 2022. "Crowd wisdom and internet searches: What happens when investors search for stocks?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    9. Ding, Rong & Hou, Wenxuan & Liu, Yue (Lucy) & Zhang, John Ziyang, 2018. "Media censorship and stock price: Evidence from the foreign share discount in China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 112-133.
    10. Alan Crane & Kevin Crotty & Tarik Umar, 2023. "Hedge Funds and Public Information Acquisition," Management Science, INFORMS, vol. 69(6), pages 3241-3262, June.
    11. Gao, Yang & Wang, Yaojun & Wang, Chao & Liu, Chao, 2018. "Internet attention and information asymmetry: Evidence from Qihoo 360 search data on the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 802-811.
    12. Chen, Zhongdong & Schmidt, Adam & Wang, Jin’ai, 2021. "Retail investor risk-seeking, attention, and the January effect," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    13. Cai, Wenwu & Lu, Jing, 2019. "Investors’ financial attention frequency and trading activity," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
    14. Smales, L.A., 2021. "Investor attention and global market returns during the COVID-19 crisis," International Review of Financial Analysis, Elsevier, vol. 73(C).
    15. Yuan, Ying & Fan, Xiaoqian & Li, Yiou, 2022. "Do local and non-local retail investor attention impact stock returns differently?," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    16. Chen, Zhongdong & Craig, Karen Ann, 2023. "Active attention, retail investor base, and stock returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    17. Dong, Dayong & Wu, Keke & Fang, Jianchun & Gozgor, Giray & Yan, Cheng, 2022. "Investor attention factors and stock returns: Evidence from China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    18. Blankespoor, Elizabeth & deHaan, Ed & Marinovic, Iván, 2020. "Disclosure processing costs, investors’ information choice, and equity market outcomes: A review," Journal of Accounting and Economics, Elsevier, vol. 70(2).
    19. Ramos, Henrique P. & Perlin, Marcelo S. & Righi, Marcelo B., 2017. "Mispricing in the odd lots market in Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 618-628.
    20. Zheng, Jiayi & Zhu, Yushu, 2023. "Algorithmic trading and block ownership initiation: An information perspective," The British Accounting Review, Elsevier, vol. 55(4).

    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:eee:empfin:v:62:y:2021:i:c:p:315-326. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jempfin .

    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.