Common institutional investors and the quality of management earnings forecasts-Empirical and machine learning evidences.

ABSTRACT: Based on the data of the Chinese A-share listed firms in China Shanghai and Shenzhen Stock Exchange from 2014 to 2021, this article explores the relationship between common institutional investors and the quality of management earnings forecasts. The study used the multiple linear regression model and empirically found that common institutional investors positively impact the precision of earnings forecasts. This article also uses graph neural networks to predict the precision of earnings forecasts. Our findings have shown that common institutional investors form external supervision over restricting management to release a wide width of earnings forecasts, which helps to improve the risk warning function of earnings forecasts and promote the sustainable development of information disclosu

SUBMITTER: Yang S 

PROVIDER: S-EPMC10578582 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature