Complexity of ECB communication and financial market trading
Bernd Hayo,
Kai Henseler,
Marc Steffen Rapp and
Johannes Zahner
Journal of International Money and Finance, 2022, vol. 128, issue C
Abstract:
We empirically examine how the complexity of ECB communications affects financial market trading based on high-frequency data from European stock index futures trading between 2009 and 2017. Analysing the linguistic complexity of the ECB’s introductory statements and differentiating between press conferences with and without announcements of unconventional monetary policy measures (UMPM), we find that more complex communication, i.e. high linguistic complexity and UMPM-announcement, is associated with a lower level of contemporaneous trading activity. Moreover, complex communication leads to a temporal shift in trading activity towards the subsequent Q&A session, which suggests that Q&A sessions facilitate market participants’ information processing.
Keywords: ECB; Central bank communication; Textual analysis; Linguistic complexity; Readability; Financial markets; European stock markets (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0261560622001127
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Complexity of ECB Communication and Financial Market Trading (2020) 
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:jimfin:v:128:y:2022:i:c:s0261560622001127
DOI: 10.1016/j.jimonfin.2022.102709
Access Statistics for this article
Journal of International Money and Finance is currently edited by J. R. Lothian
More articles in Journal of International Money and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().