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Analyst’s ability, media selection and investor interests: evidence from China

Author

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  • Yugang Yin
  • Bin Tan

Abstract

Purpose - The purpose of this paper is to find out whether the election of star analysts leads to the conflict of interests between analysts\institutional investors and individual investors. And then, further investigate how the election results to influence the individual investors’ decision making. Design/methodology/approach - Given the fact that earnings forecasts and stock ratings are the most important foundations for the investor’s investment decision, the authors investigate the relationship among the earnings forecasts, abnormal returns and the election of star analyst. This paper further analyzes the impact factors on investors’ decision. The data used in this paper for star analysts’ information, analysts’ forecast and recommendations, as well as stock performances-related data are from 2005 to 2012. Findings - This paper finds that mass media cannot select analysts with high forecast accuracy, and then misleads investors. It demonstrates that the analysts with poorer forecast ability and more optimistic stock recommendations are more prone to be entitled as star analysts by mass media, and these titled star analysts tend to show a poorer performance. Therefore, the star analyst worsens investors’ cognition on analysts forecast ability and then misleads investors’ decision making. Social implications - Media plays a critical role in corporate governance, information collection and diffusion and reducing the information asymmetry, however, it is good to know the role of media in financial markets from a broader perspective. Because media may also bring negative factors to the financial markets such as misguiding the investors and intensify the conflict of interests between analyst and individual investors. Originality/value - This paper supports a new perspective of the role of mass media in financial market, which is different from existing studies.

Suggested Citation

  • Yugang Yin & Bin Tan, 2017. "Analyst’s ability, media selection and investor interests: evidence from China," China Finance Review International, Emerald Group Publishing Limited, vol. 7(1), pages 67-84, February.
  • Handle: RePEc:eme:cfripp:cfri-06-2016-0049
    DOI: 10.1108/CFRI-06-2016-0049
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    Citations

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    Cited by:

    1. Gong, Qiang & Jacoby, Gady & Li, Shi & Lu, Lei, 2021. "Commonality in disagreement," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    2. Huang, Wenxuan & Xu, Weidong & Gao, Xin & Li, Donghui & Fu, Wentao, 2023. "Terrorist attacks and CEO compensation: UK evidence," Research in International Business and Finance, Elsevier, vol. 64(C).
    3. Li, Yi & Zhang, Wei & Wang, Pengfei, 2021. "Working online or offline: Which is more effective?," Research in International Business and Finance, Elsevier, vol. 58(C).
    4. Liu, Guangqiang & Liu, Tianbao, 2022. "Does individual investors’ dividend tax influence analyst forecast? Evidence from a quasi-natural experiment in China," Finance Research Letters, Elsevier, vol. 50(C).
    5. Huang, Tao & Zhang, Xueyong, 2022. "Industry-level media tone and the cross-section of stock returns," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 59-77.
    6. Kong, Dongmin & Liu, Shasha & Wang, Yanan, 2018. "Learning from outsiders: Do managers benefit from communication with market participants?," Finance Research Letters, Elsevier, vol. 26(C), pages 192-197.
    7. Xiong Xiong & Chunchun Luo & Ye Zhang & Shen Lin, 2019. "Do stock bulletin board systems (BBS) contain useful information? A viewpoint of interaction between BBS quality and predicting ability," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(5), pages 1385-1411, March.
    8. Shuyu Zhang & Xuanyu Zhou & Huifeng Pan & Junyi Jia, 2019. "Cryptocurrency, confirmatory bias and news readability – evidence from the largest Chinese cryptocurrency exchange," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(5), pages 1445-1468, March.

    More about this item

    Keywords

    Media; Investor; Analyst; Conflict of interest; Financial market; D83; G11; G14;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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