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Analysts' escape: The information cost of anti-organized crime

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  • Cheng, Maoyong
  • Li, Zhenjun
  • Kong, Dongmin

Abstract

We estimate the information cost of anti-organized crime efforts, proxied by the quasi-natural anti-mafia campaign in China, from the perspective of corporate analyst coverage, an important information intermediary. Using data on Chinese A-share firms listed on the Shanghai and Shenzhen stock exchanges, our difference-in-differences analysis shows that corporate analyst coverage declines during anti-organized crime periods. The baseline results reveal an average decrease of 6.11 % and 6.07 % in analyst and report coverage, respectively. Mechanism tests suggest that this reduction is driven by diminished investor sentiment, increased information asymmetry, and heightened analyst herding behavior. Additional analyses indicate that anti-organized crime efforts lead to greater forecast inaccuracy and divergence among analysts, and reduced analyst coverage exacerbates firm financing constraints. Also, the main finding is more pronounced among poorly-governed firms, highly concentrated industries, and firms in weaker red culture cities. These findings are robust to a range of sensitivity tests. Our study contributes to the understanding of the information cost associated with anti-organized crime, particularly through the lens of analyst coverage.

Suggested Citation

  • Cheng, Maoyong & Li, Zhenjun & Kong, Dongmin, 2025. "Analysts' escape: The information cost of anti-organized crime," International Review of Financial Analysis, Elsevier, vol. 106(C).
  • Handle: RePEc:eee:finana:v:106:y:2025:i:c:s1057521925006118
    DOI: 10.1016/j.irfa.2025.104524
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    JEL classification:

    • G38 - Financial Economics - - Corporate Finance and Governance - - - Government Policy and Regulation
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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