IDEAS home Printed from https://ideas.repec.org/a/eee/quaeco/v61y2016icp89-96.html
   My bibliography  Save this article

Ticker fluency, sentiment, and asset valuation

Author

Listed:
  • Durham, Greg
  • Santhanakrishnan, Mukunthan

Abstract

The objective of this study is to examine whether investors channel their propensity to speculate differently depending on the fluency of a stock's ticker (i.e., the ticker's ease of pronunciation). Baker and Wurgler (2006) suggest that this propensity to speculate defines investor sentiment, and Green and Jame (2013) contend that fluency of a company's name can affect the level of investor recognition for the stock. We hypothesize that when investors speculate, they speculate in stocks that have greater recognition and thus cause such stocks to be overvalued. We test this hypothesis by examining whether, when beginning-of-period sentiment is high, stocks with most-fluent tickers underperform stocks with least-fluent tickers (as measured by returns). We find that in periods preceded by high sentiment, stocks with most-fluent tickers have lower returns than stocks with least-fluent tickers have. This study contributes to the literature by documenting that stock prices are affected by characteristics of securities with no bearing on stocks’ underlying cash flows, risk characteristics, or required returns. Additionally, a readily usable measure of the affinity that an investor might have for a particular ticker is presented and developed.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:quaeco:v:61:y:2016:i:c:p:89-96
    DOI: 10.1016/j.qref.2015.11.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1062976915001180
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.qref.2015.11.010?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. Honghui Chen & Gregory Noronha & Vijay Singal, 2004. "The Price Response to S&P 500 Index Additions and Deletions: Evidence of Asymmetry and a New Explanation," Journal of Finance, American Finance Association, vol. 59(4), pages 1901-1930, August.
    2. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    3. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    4. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    5. Merton, Robert C, 1987. "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    6. 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.
    7. Palani‐Rajan Kadapakkam & Lalatendu Misra, 2007. "What'S In A Nickname? Price And Volume Effects Of A Pure Ticker Symbol Change," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 30(1), pages 53-71, March.
    8. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2012. "The short of it: Investor sentiment and anomalies," Journal of Financial Economics, Elsevier, vol. 104(2), pages 288-302.
    9. Billett, Matthew T. & Jiang, Zhan & Rego, Lopo L., 2014. "Glamour brands and glamour stocks," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 744-759.
    10. Yu, Jianfeng & Yuan, Yu, 2011. "Investor sentiment and the mean-variance relation," Journal of Financial Economics, Elsevier, vol. 100(2), pages 367-381, May.
    11. Paul Hribar & John McInnis, 2012. "Investor Sentiment and Analysts' Earnings Forecast Errors," Management Science, INFORMS, vol. 58(2), pages 293-307, February.
    12. Michael Lemmon & Evgenia Portniaguina, 2006. "Consumer Confidence and Asset Prices: Some Empirical Evidence," Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1499-1529.
    13. Michael J. Cooper & Orlin Dimitrov & P. Raghavendra Rau, 2001. "A Rose.com by Any Other Name," Journal of Finance, American Finance Association, vol. 56(6), pages 2371-2388, December.
    14. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    15. 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.
    16. Bodnaruk, Andriy & Ostberg, Per, 2009. "Does investor recognition predict returns?," Journal of Financial Economics, Elsevier, vol. 91(2), pages 208-226, February.
    17. Green, T. Clifton & Jame, Russell, 2013. "Company name fluency, investor recognition, and firm value," Journal of Financial Economics, Elsevier, vol. 109(3), pages 813-834.
    18. 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.
    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. Haizhong Wang & Hong Yuan & Xiaolin Li & Huaxi Li, 2019. "The impact of psychological identification with home-name stocks on investor behavior: an empirical and experimental investigation," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 1109-1130, November.
    2. 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.
    3. Hu, Cui & Li, Ben G., 2021. "Chinese lexicography and stock trading," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 44-59.
    4. Chenjun Fang & Ning Zhu, 2019. "Name complexity, cognitive fluency, and asset prices," Review of Financial Economics, John Wiley & Sons, vol. 37(1), pages 168-196, January.

    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. Chue, Timothy K. & Gul, Ferdinand A. & Mian, G. Mujtaba, 2019. "Aggregate investor sentiment and stock return synchronicity," Journal of Banking & Finance, Elsevier, vol. 108(C).
    2. 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).
    3. Alyssa G. Anderson & Yelena Larkin, 2019. "Does Noninformative Text Affect Investor Behavior?," Financial Management, Financial Management Association International, vol. 48(1), pages 257-289, March.
    4. Liang, Woan-lih, 2016. "Sensitivity to investor sentiment and stock performance of open market share repurchases," Journal of Banking & Finance, Elsevier, vol. 71(C), pages 75-94.
    5. Zhou, Xuemei & Liu, Qiang & Guo, Shuxin, 2021. "Do overnight returns explain firm-specific investor sentiment in China?," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 451-477.
    6. Stefan Nagel, 2013. "Empirical Cross-Sectional Asset Pricing," Annual Review of Financial Economics, Annual Reviews, vol. 5(1), pages 167-199, November.
    7. Labidi, Chiraz & Yaakoubi, Soumaya, 2016. "Investor sentiment and aggregate volatility pricing," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 53-63.
    8. Montone, Maurizio, 2023. "Beta, value, and growth: Do dichotomous risk-preferences explain stock returns?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    9. Fabian Irek & Thorsten Lehnert, 2013. "Do Fund Investors Know that Risk is Sometimes not Priced?," LSF Research Working Paper Series 13-1, Luxembourg School of Finance, University of Luxembourg.
    10. Ding Du & Ou Hu, 2018. "The sentiment premium and macroeconomic announcements," Review of Quantitative Finance and Accounting, Springer, vol. 50(1), pages 207-237, January.
    11. Jacobs, Heiko, 2015. "What explains the dynamics of 100 anomalies?," Journal of Banking & Finance, Elsevier, vol. 57(C), pages 65-85.
    12. Constantinos Antoniou & John A. Doukas & Avanidhar Subrahmanyam, 2016. "Investor Sentiment, Beta, and the Cost of Equity Capital," Management Science, INFORMS, vol. 62(2), pages 347-367, February.
    13. Cheong, Calvin W.H. & Sinnakkannu, Jothee & Ramasamy, Sockalingam, 2017. "Reactive or proactive? Investor sentiment as a driver of corporate social responsibility," Research in International Business and Finance, Elsevier, vol. 42(C), pages 572-582.
    14. Billett, Matthew T. & Jiang, Zhan & Rego, Lopo L., 2014. "Glamour brands and glamour stocks," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 744-759.
    15. George J. Jiang & H. Zafer Yüksel, 2019. "Sentimental mutual fund flows," The Financial Review, Eastern Finance Association, vol. 54(4), pages 709-738, November.
    16. 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.
    17. Yi, Shangkun & Wang, Jian & Wang, Xiaoting & Feng, Hongrui, 2022. "CEO political connection and stock sentiment beta: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    18. Michael Firth & Kailong (Philip) Wang & Sonia ML Wong, 2015. "Corporate Transparency and the Impact of Investor Sentiment on Stock Prices," Management Science, INFORMS, vol. 61(7), pages 1630-1647, July.
    19. Fong, Wai Mun & Toh, Benjamin, 2014. "Investor sentiment and the MAX effect," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 190-201.
    20. Fangming Xu & Huainan Zhao & Liyi Zheng, 2022. "Investment momentum: A two‐dimensional behavioural strategy," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1191-1207, January.

    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:61:y:2016:i:c:p:89-96. 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.