IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v40y2021ics1544612320305407.html
   My bibliography  Save this article

Does a stock's name affect its return? Evidence from the Chinese stock market during the China–US trade conflict

Author

Listed:
  • Ma, Yaming
  • Duan, Qiqi
  • Wu, Hanhong

Abstract

This paper investigates the effect of the word technology or electron in Chinese in stocks’ names on their cumulative abnormal returns (CARs) during the China–US trade conflict. Using a sample of Chinese A-share listed companies, the results show that the CARs of technology-name stocks are lower than those of non–technology-name stocks. The results are robust to an alternative regression method and alternative conflict dates and measures of variables. We further find that media coverage of the conflict strengthens the technology-name effect on the CARs. The findings extend the literature on the role of stock names in stock returns.

Suggested Citation

  • Ma, Yaming & Duan, Qiqi & Wu, Hanhong, 2021. "Does a stock's name affect its return? Evidence from the Chinese stock market during the China–US trade conflict," Finance Research Letters, Elsevier, vol. 40(C).
  • Handle: RePEc:eee:finlet:v:40:y:2021:i:c:s1544612320305407
    DOI: 10.1016/j.frl.2020.101733
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612320305407
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2020.101733?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. Peng, Lin & Xiong, Wei, 2006. "Investor attention, overconfidence and category learning," Journal of Financial Economics, Elsevier, vol. 80(3), pages 563-602, June.
    2. Lin, Hsiao-Mei & Fok, Robert (Chi-Wing) & Yang, Shih-An & Chang, Yuanchen, 2016. "The wealth effects of oil-related name changes on stock prices: Evidence from the U.S. and Canadian stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 26-45.
    3. Kee-Hong Bae & Wei Wang, 2012. "What's in a “China” Name? A Test of Investor Attention Hypothesis," Financial Management, Financial Management Association International, vol. 41(2), pages 429-455, June.
    4. 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.
    5. 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.
    6. He, Feng & Ma, Yaming & Zhang, Xiaojie, 2020. "How does economic policy uncertainty affect corporate Innovation?–Evidence from China listed companies," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 225-239.
    7. Wang, Ziwei & Li, Youwei & He, Feng, 2020. "Asymmetric volatility spillovers between economic policy uncertainty and stock markets: Evidence from China," Research in International Business and Finance, Elsevier, vol. 53(C).
    8. Benos, Evangelos & Jochec, Marek, 2013. "Patriotic name bias and stock returns," Journal of Financial Markets, Elsevier, vol. 16(3), pages 550-570.
    9. Xiang, Erwei & Gasbarro, Dominic & Cullen, Grant & Ruan, Wenjuan, 2020. "Does R&D expenditure volatility affect stock return?," Journal of Contemporary Accounting and Economics, Elsevier, vol. 16(3).
    10. Cooper, Michael J. & Khorana, Ajay & Osobov, Igor & Patel, Ajay & Rau, P. Raghavendra, 2005. "Managerial actions in response to a market downturn: valuation effects of name changes in the dot.com decline," Journal of Corporate Finance, Elsevier, vol. 11(1-2), pages 319-335, March.
    11. Shen, Dehua & Li, Xiao & Zhang, Wei, 2017. "Baidu news coverage and its impacts on order imbalance and large-size trade of Chinese stocks," Finance Research Letters, Elsevier, vol. 23(C), pages 210-216.
    12. Niklas Karlsson & George Loewenstein & Duane Seppi, 2009. "The ostrich effect: Selective attention to information," Journal of Risk and Uncertainty, Springer, vol. 38(2), pages 95-115, April.
    Full references (including those not matched with items on IDEAS)

    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. Arpita Agnihotri & Saurabh Bhattacharya, 2017. "Corporate Name Change and the Market Valuation of Firms: Evidence from an Emerging Market," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 24(1), pages 73-90, January.
    2. Jacobs, Heiko & Weber, Martin, 2015. "On the determinants of pairs trading profitability," Journal of Financial Markets, Elsevier, vol. 23(C), pages 75-97.
    3. 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.
    4. 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).
    5. Ehrmann, Michael & Jansen, David-Jan, 2022. "Stock return comovement when investors are distracted: More, and more homogeneous," Journal of International Money and Finance, Elsevier, vol. 129(C).
    6. 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).
    7. Hong, Xin & Jordan, Bradford D. & Liu, Mark H., 2015. "Industry information and the 52-week high effect," Pacific-Basin Finance Journal, Elsevier, vol. 32(C), pages 111-130.
    8. Gang Chu & John W. Goodell & Dehua Shen & Yongjie Zhang, 2022. "Machine learning to establish proxies for investor attention: evidence of improved stock-return prediction," Annals of Operations Research, Springer, vol. 318(1), pages 103-128, November.
    9. 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.
    10. KIM, Y. Han (Andy) & Jung, Hosung, 2016. "Investor PSY-chology surrounding “Gangnam Style”," Pacific-Basin Finance Journal, Elsevier, vol. 37(C), pages 23-34.
    11. Huang, Xing, 2019. "Mark Twain’s Cat: Investment experience, categorical thinking, and stock selection," Journal of Financial Economics, Elsevier, vol. 131(2), pages 404-432.
    12. Turan G. Bali & Robert F. Engle & Yi Tang, 2017. "Dynamic Conditional Beta Is Alive and Well in the Cross Section of Daily Stock Returns," Management Science, INFORMS, vol. 63(11), pages 3760-3779, November.
    13. Po-Hsuan Hsu & Dongmei Li & Qin Li & Siew Hong Teoh & Kevin Tseng, 2022. "Valuation of New Trademarks," Management Science, INFORMS, vol. 68(1), pages 257-279, January.
    14. Wang, Weimin & (Frank) Wang, Xu, 2014. "Predicting earnings in a poor information environment," Journal of Contemporary Accounting and Economics, Elsevier, vol. 10(1), pages 46-58.
    15. Zhang, Yeqing & Zhang, Xueyong, 2020. "Patent growth and the long-run performance of VC-backed IPOs," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 33-47.
    16. Wang, Albert Y. & Young, Michael, 2023. "Mood, attention, and household trading: Evidence from terrorist attacks," Journal of Financial Markets, Elsevier, vol. 66(C).
    17. Lin, Chaonan & Chen, Hong-Yi & Ko, Kuan-Cheng & Yang, Nien-Tzu, 2021. "Time-dependent lottery preference and the cross-section of stock returns," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 272-294.
    18. Stefan Nagel, 2013. "Empirical Cross-Sectional Asset Pricing," Annual Review of Financial Economics, Annual Reviews, vol. 5(1), pages 167-199, November.
    19. David Hirshleifer & Ming Jian & Huai Zhang, 2018. "Superstition and Financial Decision Making," Management Science, INFORMS, vol. 64(1), pages 235-252, January.
    20. Huo, Xiaolin & Jiang, Dayan & Qiu, Zhigang & Yang, Sijie, 2022. "The impacts of dual carbon goals on asset prices in China," Journal of Asian Economics, Elsevier, vol. 83(C).

    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:40:y:2021:i:c:s1544612320305407. 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.