Big data analytics, firm risk and corporate policies: Evidence from China
Pengfei Sun,
Chunhui Yuan,
Xiaolong Li and
Jia Di
Research in International Business and Finance, 2024, vol. 70, issue PB
Abstract:
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.
Keywords: Big data; Firm risk; Corporate policy; Firm value (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0275531924001648
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:riibaf:v:70:y:2024:i:pb:s0275531924001648
DOI: 10.1016/j.ribaf.2024.102371
Access Statistics for this article
Research in International Business and Finance is currently edited by T. Lagoarde Segot
More articles in Research in International Business and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().