中国
分析
大数据
业务
数据分析
面板数据
会计
经济
数据科学
计量经济学
计算机科学
数据挖掘
政治学
法学
作者
Pengfei Sun,Chunhui Yuan,Xiaolong Li,Jia Di
标识
DOI:10.1016/j.ribaf.2024.102371
摘要
This study provides the empirical evidence on the impact of big data analytics (BDA) on firm risk. Using a combination of deep learning and text mining, we construct BDA indicators for a sample of Chinese A-share listed companies from 2003 to 2019. We find a significant positive relationship between BDA and firm risk. In addition, we identify several factors that significantly moderate the effect of BDA on firm risk. Examining the channels, we find that BDA affects corporate policy actions that lead to higher firm risk. Further, this study also shows that the improvement in BDA is value-enhancing for the firm and that this improvement is somewhat sustainable. The results of the test for endogeneity and other tests indicate that our causal relationship is robust.
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