IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v39y2021ics1544612320304992.html
   My bibliography  Save this article

Stock name length and high visibility premium

Author

Listed:
  • Jin, XueJun
  • Shen, YiFan
  • Yu, Bin

Abstract

High stock visibility reduces the cost of capital and creates high firm value. In China's A-share market, only 427 stocks have a three-character name, while almost 3000 stocks have four-character names; we use posts read and reply at BBS to verify the high visibility of former. We then use stock name length as the measure of stock visibility and examine abnormally high returns of stocks with high visibility. We find that the premiums of three-character length name stocks exist after controlling for systematic risks, and that premiums could decrease when the information environment for stocks improves.

Suggested Citation

  • Jin, XueJun & Shen, YiFan & Yu, Bin, 2021. "Stock name length and high visibility premium," Finance Research Letters, Elsevier, vol. 39(C).
  • Handle: RePEc:eee:finlet:v:39:y:2021:i:c:s1544612320304992
    DOI: 10.1016/j.frl.2020.101595
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612320304992
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2020.101595?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. Frieder, Laura & Subrahmanyam, Avanidhar, 2005. "Brand Perceptions and the Market for Common Stock," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(1), pages 57-85, March.
    2. Qian, Meifen & Sun, Ping-Wen & Yu, Bin, 2017. "High turnover with high price delay? Dissecting the puzzling phenomenon for China's A-shares," Finance Research Letters, Elsevier, vol. 22(C), pages 105-113.
    3. Kewei Hou & Tobias J. Moskowitz, 2005. "Market Frictions, Price Delay, and the Cross-Section of Expected Returns," Review of Financial Studies, Society for Financial Studies, vol. 18(3), pages 981-1020.
    4. 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.
    5. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    6. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    7. 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.
    8. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    9. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    10. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    11. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    12. 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.
    13. Kaniel, Ron & Ozoguz, Arzu & Starks, Laura, 2012. "The high volume return premium: Cross-country evidence," Journal of Financial Economics, Elsevier, vol. 103(2), pages 255-279.
    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. 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. Zhu, Zhaobo & Sun, Licheng & Yung, Kenneth & Chen, Min, 2020. "Limited investor attention, relative fundamental strength, and the cross-section of stock returns," The British Accounting Review, Elsevier, vol. 52(4).
    2. Wang, Zijun, 2021. "The high volume return premium and economic fundamentals," Journal of Financial Economics, Elsevier, vol. 140(1), pages 325-345.
    3. Atilgan, Yigit & Bali, Turan G. & Demirtas, K. Ozgur & Gunaydin, A. Doruk, 2020. "Left-tail momentum: Underreaction to bad news, costly arbitrage and equity returns," Journal of Financial Economics, Elsevier, vol. 135(3), pages 725-753.
    4. Zhong, Angel & Chai, Daniel & Li, Bob & Chiah, Mardy, 2018. "Volume shocks and stock returns: An alternative test," Pacific-Basin Finance Journal, Elsevier, vol. 48(C), pages 1-16.
    5. Jiaju Miao & Pawel Polak, 2023. "Online Ensemble of Models for Optimal Predictive Performance with Applications to Sector Rotation Strategy," Papers 2304.09947, arXiv.org.
    6. 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.
    7. David Hirshleifer & Po-Hsuan Hsu & Dongmei Li, 2018. "Innovative Originality, Profitability, and Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2553-2605.
    8. 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).
    9. Asgar Ali & K. N. Badhani, 2023. "Downside risk matters once the lottery effect is controlled: explaining risk–return relationship in the Indian equity market," Journal of Asset Management, Palgrave Macmillan, vol. 24(1), pages 27-43, February.
    10. Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Sibbertsen, Philipp, 2020. "The memory of stock return volatility: Asset pricing implications," Journal of Financial Markets, Elsevier, vol. 47(C).
    11. Guo, Laite, 2023. "Two faces of the size effect," Journal of Banking & Finance, Elsevier, vol. 146(C).
    12. Cakici, Nusret & Zaremba, Adam, 2023. "Recency bias and the cross-section of international stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    13. Ji Cao & Marc Oliver Rieger & Lei Zhao, 2019. "Safety First, Loss Probability, and the Cross Section of Expected Stock Returns," Working Paper Series 2019-02, University of Trier, Research Group Quantitative Finance and Risk Analysis.
    14. Sun, Kaisi & Wang, Hui & Zhu, Yifeng, 2023. "Salience theory in price and trading volume: Evidence from China," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 38-61.
    15. Bai, Jennie & Bali, Turan G. & Wen, Quan, 2021. "Is there a risk-return tradeoff in the corporate bond market? Time-series and cross-sectional evidence," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1017-1037.
    16. Cao, Zhengyu & Wang, Rundong & Xiao, Xinrong & Yin, Chengxi, 2023. "Disseminating information across connected firms — Analyst site visits can help," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 510-531.
    17. Lu, Zhongjin & Murray, Scott, 2019. "Bear beta," Journal of Financial Economics, Elsevier, vol. 131(3), pages 736-760.
    18. Czapkiewicz, Anna & Wójtowicz, Tomasz & Zaremba, Adam, 2023. "Idiosyncratic risk and cross-section of stock returns in emerging European markets," Economic Modelling, Elsevier, vol. 124(C).
    19. Xin Chen & Wei He & Libin Tao & Jianfeng Yu, 2023. "Attention and Underreaction-Related Anomalies," Management Science, INFORMS, vol. 69(1), pages 636-659, January.
    20. Cosemans, Mathijs & Frehen, Rik, 2021. "Salience theory and stock prices: Empirical evidence," Journal of Financial Economics, Elsevier, vol. 140(2), pages 460-483.

    More about this item

    Keywords

    Stock name; Stock visibility; Investor base; Information environment;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:eee:finlet:v:39:y:2021:i:c:s1544612320304992. 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/frl .

    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.