@inproceedings{buechel-etal-2019-time,
title = "A Time Series Analysis of Emotional Loading in Central Bank Statements",
author = "Buechel, Sven and
Junker, Simon and
Schlaak, Thore and
Michelsen, Claus and
Hahn, Udo",
editor = "Hahn, Udo and
Hoste, V{\'e}ronique and
Zhang, Zhu",
booktitle = "Proceedings of the Second Workshop on Economics and Natural Language Processing",
month = nov,
year = "2019",
address = "Hong Kong",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D19-5103",
doi = "10.18653/v1/D19-5103",
pages = "16--21",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T A Time Series Analysis of Emotional Loading in Central Bank Statements
%A Buechel, Sven
%A Junker, Simon
%A Schlaak, Thore
%A Michelsen, Claus
%A Hahn, Udo
%Y Hahn, Udo
%Y Hoste, Véronique
%Y Zhang, Zhu
%S Proceedings of the Second Workshop on Economics and Natural Language Processing
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong
%F buechel-etal-2019-time
%X 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.
%R 10.18653/v1/D19-5103
%U https://aclanthology.org/D19-5103
%U https://doi.org/10.18653/v1/D19-5103
%P 16-21
Markdown (Informal)
[A Time Series Analysis of Emotional Loading in Central Bank Statements](https://aclanthology.org/D19-5103) (Buechel et al., 2019)
ACL