Corporate Misconduct and Analyst Forecasting Accuracy Evidence from China
发布日期:2022/4/18
作者: 左月华团队
单位: 华中科技大学经济学院
期刊: Emerging Markets Finance and Trade Volume 58, 2022 - Issue 10
ABSTRACT
This paper studies the impact of corporate misconduct on analyst forecasting accuracy in emerging markets. Using a unique dataset from China, we find that analyst forecasting accuracy decreases when firms are involved in corporate misconduct. We address potential endogeneity by employing the propensity score matched (PSM) procedure and IV regression, and our findings are proven robust. Channel analyses show that corporate misconduct is related to the increased earnings management, weak internal control quality, the reduction in site visits by institutional investors and coverage by star analysts, indicating that our results are driven by a worsened information environment for analysts. Further tests reveal that firms who commit more corporate misconduct, more severe misconduct, or information disclosure violations result in less reliable analyst forecasting accuracy. Thus, our research provides policy implication by showing that corporate irregularities reduce information efficiency of capital market and disrupt the market integrity.
https://doi.org/10.1080/1540496X.2022.2057220
链接:Corporate Misconduct and Analyst Forecasting Accuracy: Evidence from China