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Can star analysts make superior coverage decisions in poor information environment?

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  • Jin, Han
  • Mazouz, Khelifa
  • Wu, Yuliang
  • Xu, Bin

Abstract

This study uses the quality of coverage decisions as a new metric to evaluate the performance of star and non-star analysts. We find that the coverage decisions of star analysts are better predictors of returns than those of non-star analysts. The return predictability of star analysts’ coverage decisions is stronger for informationally opaque stocks. We further exploit the staggered short selling deregulations, Google’s withdrawal, and the anti-corruption campaign as three quasi-natural experiments that create plausibly exogenous variations in the quality of information environment. These experiments show that the predictive power of star analysts’ coverage decisions strengthens (weakens) following a sharp deterioration (improvement) in firms’ information environment, consistent with the notion that star analysts possess superior ability to identify mispriced stocks. Overall, star analysts make better coverage decisions and play a superior role as information intermediaries, especially in poor information environment.

Suggested Citation

  • Jin, Han & Mazouz, Khelifa & Wu, Yuliang & Xu, Bin, 2023. "Can star analysts make superior coverage decisions in poor information environment?," Journal of Banking & Finance, Elsevier, vol. 146(C).
    • Handle: RePEc:eee:jbfina:v:146:y:2023:i:c:s0378426622002308
    DOI: 10.1016/j.jbankfin.2022.106650
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