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Investor attention and corporate leverage manipulation

Author

Listed:
  • Guo, Huitao
  • Ye, Binghui
  • Chen, Yuxuan
  • Lin, Weizhen
  • Guan, Xinle
  • Mao, Ruoyu

Abstract

This study indicates that retail shareholders voicing their opinions through social media effectively reducing the leverage manipulation level of enterprises. Mechanism examination reveals that the effectiveness of information environment is vital mechanisms by which retail shareholders mitigate leverage manipulation level. Heterogeneity analysis indicates in companies with low level of confidence, the impact of small and medium-sized shareholders voicing their opinions on mitigating corporate leverage manipulation is more pronounced. The conclusions of this article are not only crucial for innovating corporate governance practices in the digital economy era but also hold significant implications for retail investors in safeguarding their own interests.

Suggested Citation

  • Guo, Huitao & Ye, Binghui & Chen, Yuxuan & Lin, Weizhen & Guan, Xinle & Mao, Ruoyu, 2024. "Investor attention and corporate leverage manipulation," Finance Research Letters, Elsevier, vol. 60(C).
    • Handle: RePEc:eee:finlet:v:60:y:2024:i:c:s1544612323012862
    DOI: 10.1016/j.frl.2023.104914
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    References listed on IDEAS

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    1. Muradoglu, Gulnur & Peng, Ni & Qin, Huai & Xia, Chunling, 2024. "Investor attention and market reactions to early announcements in mergers and acquisitions," International Review of Financial Analysis, Elsevier, vol. 91(C).
    2. Hong, Ziyang & Liu, Qingfu & Tse, Yiuman & Wang, Zilu, 2023. "Black mouth, investor attention, and stock return," International Review of Financial Analysis, Elsevier, vol. 90(C).
    3. Sanjiv R. Das & Mike Y. Chen, 2007. "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web," Management Science, INFORMS, vol. 53(9), pages 1375-1388, September.
    4. Hao, Jing, 2023. "Retail investor attention and corporate innovation in the big data era," International Review of Financial Analysis, Elsevier, vol. 86(C).
    5. Ruihao Ke & Meng Li & Zhejia Ling & Yuan Zhang, 2019. "Social Connections Within Executive Teams and Management Forecasts," Management Science, INFORMS, vol. 65(1), pages 439-457, January.
    6. Ons Triki & Fathi Abid, 2023. "Firms' financial structure with contingent convertible debt, risky debt and multiple growth options," China Finance Review International, Emerald Group Publishing Limited, vol. 13(2), pages 230-262, February.
    7. repec:bla:jfinan:v:59:y:2004:i:3:p:1259-1294 is not listed on IDEAS
    8. Faten Tlili & Mustapha Chaffai & Imed Medhioub, 2023. "Investor behavior and psychological effects: herding and anchoring biases in the MENA region," China Finance Review International, Emerald Group Publishing Limited, vol. 13(4), pages 667-681, May.
    9. Zhenjie Wang & Jiewei Zhang & Hafeez Ullah, 2023. "Exploring the Multidimensional Perspective of Retail Investors’ Attention: The Mediating Influence of Corporate Governance and Information Disclosure on Corporate Environmental Performance in China," Sustainability, MDPI, vol. 15(15), pages 1-33, August.
    Full references (including those not matched with items on IDEAS)

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