Lizenz: Creative Commons Namensnennung 4.0 International PDF - Veröffentlichte Version (4MB) |
- URN zum Zitieren dieses Dokuments:
- urn:nbn:de:bvb:355-epub-587775
- DOI zum Zitieren dieses Dokuments:
- 10.5283/epub.58777
Zusammenfassung
Corporate disclosures convey crucial information to financial market participants. While machine learning algorithms are commonly used to extract this information, they often overlook the use of idiosyncratic terminology and industry-specific vocabulary within documents. This study uses an unsupervised machine learning algorithm, the Structural Topic Model, to overcome these issues. Our findings ...
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