on the publication serverTitle data
Pöferlein, Matthias:
Sentiment Analysis of German Texts in Finance : Improving and Testing the BPW Dictionary.
In: Journal of Banking and Financial Economics.
Vol. 16
(30 December 2021)
Issue 2
.
- pp. 5-24.
ISSN 2353-6845
DOI: https://doi.org/10.7172/2353-6845.jbfe.2021.2.1
Abstract in another language
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.
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Keywords: | textual analysis; textual sentiment; sentiment analysis; content analysis; annual general meeting; CEO speeches |
| Subject classification: | JEL Classification: G12; G14 |
| Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration I, Finance and Banking Management > Chair Business Administration I, Finance and Banking Management - Univ.-Prof. Dr. Klaus Schäfer |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 300 Social sciences > 330 Economics |
| Date Deposited: | 09 Mar 2022 08:12 |
| Last Modified: | 09 Mar 2022 08:12 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/68874 |
