| International Conference on Manufacturing Technology, Materials and Chemical Engineering | |
| Research on Coal Enterprise Investor Sentiment Based on Regulation Algorithm | |
| 机械制造;材料科学;化学工业 | |
| Tiantian, Xia^1 ; Xiuming, Chen^1 ; Chen, Shen^1 ; Yun, Yu^1 | |
| Business School Netherlands Ph.D Candidates, Nanchang Institute of Technology Institute of Finance, Research Field Is Business Management, Nanchang | |
| 330000, China^1 | |
| 关键词: Coal enterprise; Continuous transformations; Corporate social responsibilities (CSR); Financial reporting; Financial reports; Investor sentiments; Regulation algorithms; Social economy; | |
| Others : https://iopscience.iop.org/article/10.1088/1757-899X/392/6/062203/pdf DOI : 10.1088/1757-899X/392/6/062203 |
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| 学科分类:材料科学(综合) | |
| 来源: IOP | |
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【 摘 要 】
Academics have conducted extensive research on aspects of corporate social responsibility, but there are less involved in corporate social responsibility and investor sentiment. With the continuous transformation and upgrading of social economy, people pay more and more attention to corporate social responsibility. In order to better study corporate social responsibility, based on the quality of financial reporting, this paper examines the relationship between corporate social responsibility and investors by collecting second-hand data about the relationship between emotions. This paper focuses on how the relationship between corporate social responsibility and investor sentiment changes and how the relationship between the two changes with the quality of financial reporting. Through the research of this paper, we find that the higher the level of corporate social responsibility fulfillment, the greater the investor sentiment, the two are proportional. Under the same condition of the fulfillment of corporate social responsibility, the higher the quality of financial reports, the greater the investor sentiment.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| Research on Coal Enterprise Investor Sentiment Based on Regulation Algorithm | 229KB |
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