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- Title
Yıllık Raporların Metin Analizi İle Değerlendirilmesi: BİST100 Endeksinde Bir Uygulama.
- Authors
ÇEREZ, Sedat; MERTER, Abdullah Kürşat; BALCIOĞLU, Yavuz Selim; ÖZER, Gökhan
- Abstract
In this study, the annual reports of 60 non-financial firms in the Borsa Istanbul (BIST) 100 index are examined, and the topics and sentiment tone of the reports are analyzed. Using the Latent Dirichlet Allocation method, it is found that four main topics are differentiated in the annual reports, and approximately 87% of the disclosures in the reports exhibit a positive sentiment and 13% of the disclosures exhibit a negative sentiment, indicating that there is a generally optimistic tone in the reports. This research highlights the potential of text analysis as a tool for extracting meaningful insights from corporate reports and offers a new approach to understanding corporate performance and strategy.
- Publication
Journal of Finance Letters / Maliye Finans Yazıları Dergisi, 2024, Issue 121, p175
- ISSN
1308-6014
- Publication type
Article
- DOI
10.33203/mfy.1338486