The role of different information sources in information spread: Evidence from three media channels in China
Chunying Wu,
Xiong Xiong and
Ya Gao
International Review of Economics & Finance, 2022, vol. 80, issue C, 327-341
Abstract:
Using a comprehensive dataset from 2008 to 2018, we study the role of different information sources (traditional media, new media, and social media) on information spread in the Chinese stock market. The findings reveal varied leading and lagging relationships in the timeliness of fraud information disclosure from three media types and the most significant impact from social media. The results on price synchronicity reveal the significantly negative influence of all media coverages; among them, the impact of new media is in the first position, social media is in second place, and traditional media is the smallest. Furthermore, this influence is more pronounced for firms that are not audited by Big 4 auditors or with lower institutional ownership. In summary, we reveal the different effects of three media channels around fraud events and price synchronicity in China.
Keywords: Traditional media; New media; Social media; Fraud detection; Price synchronicity (search for similar items in EconPapers)
JEL-codes: G11 G12 G14 G17 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1059056022000922
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:reveco:v:80:y:2022:i:c:p:327-341
DOI: 10.1016/j.iref.2022.02.072
Access Statistics for this article
International Review of Economics & Finance is currently edited by H. Beladi and C. Chen
More articles in International Review of Economics & Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().