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Do political connections decrease the accuracy of stock analysts' recommendations in the Chinese stock market?

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  • He, Feng
  • Ma, Yaming

Abstract

This paper studies the association between the accuracy of analysts' recommendations and political connections in the Chinese stock market. As most brokerage firms in China are state-owned, it raises concerns about conflicts of interest among their employed analysts issuing recommendations for Chinese state-owned enterprises. Based on 8469 analysts' recommendations with different ratings for both state-owned and non-state-owned enterprises from 74 brokerage firms, we document that analysts' recommendations are less accurate for Chinese state-owned enterprises, which supports the hypothesis that conflicts of interest create recommendation biases. Political connections encourage analysts to be more optimistic on SOEs and even to generate misleading “Buy” and “Hold” recommendations. Our results demonstrate the existence of an optimism bias among politically connected analysts on state-owned enterprises in China.

Suggested Citation

  • He, Feng & Ma, Yaming, 2019. "Do political connections decrease the accuracy of stock analysts' recommendations in the Chinese stock market?," Economic Modelling, Elsevier, vol. 81(C), pages 59-72.
  • Handle: RePEc:eee:ecmode:v:81:y:2019:i:c:p:59-72
    DOI: 10.1016/j.econmod.2018.12.012
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    1. Lingchen Liu & Yan Gu & Kung‐Cheng Ho & Chiu‐Lan Chang, 2022. "Customer concentration and analyst following: Evidence from China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(1), pages 97-110, January.
    2. Young‐Soo Choi & Svetlana Mira & Nicholas Taylor, 2022. "Local versus foreign analysts' forecast accuracy: does herding matter?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1143-1188, April.
    3. 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.
    4. Zhang, Xiaotao & Liang, Junpeng & He, Feng, 2019. "Private information advantage or overconfidence? Performance of intraday arbitrage speculators in the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
    5. Islam, Md Shahidul & Alam, Md Samsul & Bin Hasan, Shehub & Mollah, Sabur, 2022. "Firm-level political risk and distance-to-default," Journal of Financial Stability, Elsevier, vol. 63(C).

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    More about this item

    Keywords

    Political connection; Conflicts of interest; Analysts' recommendations accuracy; Optimistic bias;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General

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