Sentiment Analysis of German Texts in Finance: Improving and Testing the BPW Dictionary

• Authors: Matthias Pöferlein

Abstracts

EN

Using the dictionary-based approach to measure the sentiment of finance-related texts is primarily focused on English-speaking content. This is due to the need for domain-specific dictionaries and the primary availability of those in English. Through the contribution of Bannier et al. (2019b), the first finance-related dictionary is available for the German language. Because of the novelty of this dictionary, this paper proposes several reforms and extensions of the original word lists. Additionally, I tested multiple measurements of sentiment. I show that using the edited and extended dictionary to calculate a relative measurement of sentiment, central assumptions regarding textual analysis can be fulfilled and more significant relations between the sentiment of a speech by a CEO at the Annual General Meeting and subsequent abnormal stock returns can be calculated.

Keywords

EN

textual analysis; textual sentiment; sentiment analysis; content analysis; CEO speeches; annual general meeting

• Publisher: Uniwersytet Warszawski. Wydział Nauk Ekonomicznych
• Journal: Journal of Banking and Financial Economics
• Year: 2021
• Issue: 2(16)
• Pages: 5-24

Dates

published

2021

Contributors

author

Matthias Pöferlein

• University of Bayreuth, Germany

• https://orcid.org/0000000289676087

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Identifiers

DOI

10.7172/2353-6845.jbfe.2021.2.1

Biblioteka Nauki

2048284