Is microblogging data reflected in stock market volatility? Evidence from Sina Weibo
Tonghui Zhang,
Ying Yuan and
Xi Wu
Finance Research Letters, 2020, vol. 32, issue C
Abstract:
The question of whether microblogging data is reflected in stock market in the internet era is an outstanding issue. Here, we propose a new measure (Sina Weibo Index) of microblogging data using daily posting, commenting and tagging activities for the specific stock index on the Sina Weibo platform. By using Granger causality tests and time-delay detrended cross-correlation analysis (DCCA), we find that the variation tendency of Sina Weibo Index is highly correlated with stock market volatility. Our results confirm the role played by Sina Weibo in the fluctuations of stock market, especially during the boom and crisis periods.
Keywords: Stock market volatility; Sina Weibo; Realized volatility; Chinese stock market (search for similar items in EconPapers)
JEL-codes: G14 G15 G41 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1544612318307803
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:finlet:v:32:y:2020:i:c:s1544612318307803
DOI: 10.1016/j.frl.2019.04.030
Access Statistics for this article
Finance Research Letters is currently edited by R. Gençay
More articles in Finance Research Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().