A Time Series Analysis of Emotional Loading in Central Bank Statements

Sven Buechel, Simon Junker, Thore Schlaak, Claus Michelsen, Udo Hahn


Abstract
We examine the affective content of central bank press statements using emotion analysis. Our focus is on two major international players, the European Central Bank (ECB) and the US Federal Reserve Bank (Fed), covering a time span from 1998 through 2019. We reveal characteristic patterns in the emotional dimensions of valence, arousal, and dominance and find—despite the commonly established attitude that emotional wording in central bank communication should be avoided—a correlation between the state of the economy and particularly the dominance dimension in the press releases under scrutiny and, overall, an impact of the president in office.
Anthology ID:
D19-5103
Volume:
Proceedings of the Second Workshop on Economics and Natural Language Processing
Month:
November
Year:
2019
Address:
Hong Kong
Editors:
Udo Hahn, Véronique Hoste, Zhu Zhang
Venue:
WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
16–21
Language:
URL:
https://aclanthology.org/D19-5103
DOI:
10.18653/v1/D19-5103
Bibkey:
Cite (ACL):
Sven Buechel, Simon Junker, Thore Schlaak, Claus Michelsen, and Udo Hahn. 2019. A Time Series Analysis of Emotional Loading in Central Bank Statements. In Proceedings of the Second Workshop on Economics and Natural Language Processing, pages 16–21, Hong Kong. Association for Computational Linguistics.
Cite (Informal):
A Time Series Analysis of Emotional Loading in Central Bank Statements (Buechel et al., 2019)
Copy Citation:
PDF:
https://aclanthology.org/D19-5103.pdf