IDEAS home Printed from https://ideas.repec.org/a/eee/quaeco/v49y2009i2p551-561.html
   My bibliography  Save this article

Would a stock by any other ticker smell as sweet?

Author

Listed:
  • Head, Alex
  • Smith, Gary
  • Wilson, Julia

Abstract

Some stocks have meaningful ticker symbols; for example, LUV (Southwest Airlines), MOO (United Stockyards), and GEEK (Internet America). Such tickers might be a useful signal of the company's creativity, a memorable marker that appeals to investors, or a warning that the company feels it must resort to gimmicks to attract investors. This paper investigates the performance of stocks with memorable ticker symbols during the years 1984-2005 and finds that, on average, their daily returns are higher than for the overall market.

Suggested Citation

  • Head, Alex & Smith, Gary & Wilson, Julia, 2009. "Would a stock by any other ticker smell as sweet?," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(2), pages 551-561, May.
  • Handle: RePEc:eee:quaeco:v:49:y:2009:i:2:p:551-561
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1062-9769(07)00086-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
    2. Michael S. Rashes, 2001. "Massively Confused Investors Making Conspicuously Ignorant Choices (MCI–MCIC)," Journal of Finance, American Finance Association, vol. 56(5), pages 1911-1927, October.
    3. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W, 1994. "Contrarian Investment, Extrapolation, and Risk," Journal of Finance, American Finance Association, vol. 49(5), pages 1541-1578, December.
    4. Reinganum, Marc R., 1981. "Misspecification of capital asset pricing : Empirical anomalies based on earnings' yields and market values," Journal of Financial Economics, Elsevier, vol. 9(1), pages 19-46, March.
    5. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    6. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    7. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    8. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    9. Chan, K C, 1988. "On the Contrarian Investment Strategy," The Journal of Business, University of Chicago Press, vol. 61(2), pages 147-163, April.
    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. Corbet, Shaen & Hou, Yang & Hu, Yang & Lucey, Brian & Oxley, Les, 2021. "Aye Corona! The contagion effects of being named Corona during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 38(C).
    2. Baer, Naomi & Barry, Erica & Smith, Gary, 2020. "The name game: The importance of resourcefulness, ruses, and recall in stock ticker symbols," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 410-413.
    3. Blair, Sean, 2020. "How lacking control drives fluency effects in evaluative judgment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 156(C), pages 97-112.
    4. Qiu, Jiayue & Wu, Hai & Zhang, Lijuan, 2021. "In name only: Information spillovers among Chinese firms with similar stock names during earnings announcements," Journal of Corporate Finance, Elsevier, vol. 69(C).
    5. Durham, Greg & Santhanakrishnan, Mukunthan, 2016. "Ticker fluency, sentiment, and asset valuation," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 89-96.
    6. Xing, Xuejing & Anderson, Randy I. & Hu, Yan, 2016. "What׳s a name worth? The impact of a likeable stock ticker symbol on firm value," Journal of Financial Markets, Elsevier, vol. 31(C), pages 63-80.
    7. Montone, Maurizio & van den Assem, Martijn J. & Zwinkels, Remco C.J., 2023. "Company name fluency and stock returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).

    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 Rubio, 2005. "Eficiencia De Mercado, Administracion De Carteras De Fondos Y Behavioural Finance," Finance 0503028, University Library of Munich, Germany, revised 23 Jul 2005.
    2. 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.
    3. Gabriel Hawawini & Donald B. Keim, "undated". "The Cross Section of Common Stock Returns: A Review of the Evidence and Some New Findings," Rodney L. White Center for Financial Research Working Papers 08-99, Wharton School Rodney L. White Center for Financial Research.
    4. Anton Astakhov & Tomas Havranek & Jiri Novak, 2019. "Firm Size And Stock Returns: A Quantitative Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 33(5), pages 1463-1492, December.
    5. Anton Astakhov & Tomas Havranek & Jiri Novak, 2017. "Firm Size and Stock Returns: A Meta-Analysis," Working Papers IES 2017/14, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2017.
    6. Committee, Nobel Prize, 2013. "Understanding Asset Prices," Nobel Prize in Economics documents 2013-1, Nobel Prize Committee.
    7. Stephen A. Gorman & Frank J. Fabozzi, 2021. "The ABC’s of the alternative risk premium: academic roots," Journal of Asset Management, Palgrave Macmillan, vol. 22(6), pages 405-436, October.
    8. Joanne Mar & Ron Bird & Lorenzo Casavecchia & Danny Yeung, 2009. "Fundamental Indexation: An Australian Investigation," Australian Journal of Management, Australian School of Business, vol. 34(1), pages 1-20, June.
    9. Horowitz, Joel L. & Loughran, Tim & Savin, N. E., 2000. "The disappearing size effect," Research in Economics, Elsevier, vol. 54(1), pages 83-100, March.
    10. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2017. "Research in finance: A review of influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 188-199.
    11. Israel, Ronen & Moskowitz, Tobias J., 2013. "The role of shorting, firm size, and time on market anomalies," Journal of Financial Economics, Elsevier, vol. 108(2), pages 275-301.
    12. Fama, Eugene F. & French, Kenneth R., 2012. "Size, value, and momentum in international stock returns," Journal of Financial Economics, Elsevier, vol. 105(3), pages 457-472.
    13. Walkshäusl, Christian, 2015. "Equity financing activities and European value-growth returns," Journal of Banking & Finance, Elsevier, vol. 57(C), pages 27-40.
    14. Manuel Ammann & Michael Steiner, 2008. "Risk Factors for the Swiss Stock Market," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 144(I), pages 1-35, March.
    15. Sebastien Valeyre & Sofiane Aboura & Denis Grebenkov, 2019. "The Reactive Beta Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 42(1), pages 71-113, March.
    16. Artmann, Sabine & Finter, Philipp & Kempf, Alexander, 2010. "Determinants of expected stock returns: Large sample evidence from the German market," CFR Working Papers 10-01, University of Cologne, Centre for Financial Research (CFR).
    17. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    18. Rocciolo, Francesco & Gheno, Andrea & Brooks, Chris, 2022. "Explaining abnormal returns in stock markets: An alpha-neutral version of the CAPM," International Review of Financial Analysis, Elsevier, vol. 82(C).
    19. Ma, Yao & Yang, Baochen & Su, Yunpeng, 2021. "Stock return predictability: Evidence from moving averages of trading volume," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    20. Graham Baird & James Dodd & Lawrence Middleton, 2020. "A growth adjusted price-earnings ratio," Papers 2001.08240, arXiv.org.

    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:quaeco:v:49:y:2009:i:2:p:551-561. 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/inca/620167 .

    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.