Management earnings forecasts

  • 详情 Environmental Legal Institutions and Management Earnings Forecasts: Evidence from the Establishment of Environmental Courts in China
    This paper investigates whether and how managers of highly polluting firms adjust their earnings forecast behaviors in response to the introduction of environmental legal institutions. Using the establishment of environmental courts in China as a quasi-natural experiment, our triple difference-in-differences (DID) estimation shows that environmental courts significantly increase the likelihood of management earnings forecasts for highly polluting firms compared to non-highly polluting firms. This association becomes more pronounced for firms with stronger monitoring power, higher environmental litigation risk, and greater earnings uncertainty. Additionally, we show that highly polluting firms improve the precision and accuracy of earnings forecasts following the establishment of environmental courts. Furthermore, we provide evidence that our results do not support the opportunistic perspective that managers strategically issue more positive earnings forecasts to inflate stakeholders‘ expectations subsequent to the implementation of environmental courts. Overall, our research indicates that environmental legal institutions make firms with greater environmental concerns to provide more forward-looking information, thereby alleviating stakeholders’ apprehensions regarding future profitability prospects.
  • 详情 Media Sentiment and Management Earnings Forecasts: Evidence from China
    In this study, we investigate the relationship between news media sentiment and management earnings forecasts. Using Ashare listed companies in China from 2007 to 2022, we find a negative relationship between media sentiment and the propensity of firms to issue management earnings forecasts. We also find that media sentiment is associated with the precision and accuracy of these forecasts. Overall, our study offers new insights into the underlying motivations and the quality of management earnings forecasts.