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pro vyhledávání: '"Scherrmann, Moritz"'
Autor:
Scherrmann, Moritz
This study presents German FinBERT, a novel pre-trained German language model tailored for financial textual data. The model is trained through a comprehensive pre-training process, leveraging a substantial corpus comprising financial reports, ad-hoc
Externí odkaz:
http://arxiv.org/abs/2311.08793
Autor:
Scherrmann, Moritz, Elsas, Ralf
Firm disclosures about future prospects are crucial for corporate valuation and compliance with global regulations, such as the EU's MAR and the US's SEC Rule 10b-5 and RegFD. To comply with disclosure obligations, issuers must identify nonpublic inf
Externí odkaz:
http://arxiv.org/abs/2311.10756
Autor:
Scherrmann, Moritz
This paper presents a multi-label topic model for financial texts like ad-hoc announcements, 8-K filings, finance related news or annual reports. I train the model on a new financial multi-label database consisting of 3,044 German ad-hoc announcement
Externí odkaz:
http://arxiv.org/abs/2311.07598