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

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Benos, Evangelos & Jochec, Marek, 2013. "Patriotic name bias and stock returns," Journal of Financial Markets, Elsevier, vol. 16(3), pages 550-570.
    4. Peng, Lin & Xiong, Wei, 2006. "Investor attention, overconfidence and category learning," Journal of Financial Economics, Elsevier, vol. 80(3), pages 563-602, June.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    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.
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