共同的机构投资者和管理收入预测的质量-经验和机器学习证据
相关实验视频
Updated: Jul 13, 2025
05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
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Shanshan Yang1, Xiaohan Li2, Zhenhua Jiang3
1Business School, Chengdu University, Chengdu, China.
PloS one
|October 16, 2023
概括
共同的机构投资者通过提供外部监管来提高管理收入预测的准确性. 这提高了风险警告,并促进了中国的可持续信息披露.
科学领域:
- 金融经济学 金融经济学
- 公司治理 公司治理
- 信息不对称性是一种信息不对称性.
背景情况:
- 管理层利预测对于资本市场效率至关重要.
- 机构投资者对影响预测质量的作用需要进一步研究.
- 管理层和投资者之间的信息不对称可能会扭曲市场信号.
研究的目的:
- 检查普通机构投资者对管理收入预测质量的影响.
- 探索普通机构投资者对收益预测准确性的缓和作用.
- 应用像图形神经网络这样的先进方法来预测预测质量.
主要方法:
- 利用了中国A股上市公司 (2014-2021) 的数据.
- 采用多重线性回归分析.
- 嵌入式图形神经网络用于预测准确性的预测建模.
主要成果:
- 常见的机构投资者对收益预测的准确性有重大和积极的影响.
- 机构投资者充当外部监管机构,限制过于广泛的预测范围.
- 这种监督提高了风险预警功能和管理层信息披露的可持续性.
结论:
- 共同的机构投资者通过加强监管来提高管理收益预测的质量.
- 这些发现有助于对机构股权的经济后果的文献.
- 建议机构投资者加强信息共享,以减少信息不对称.
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