Exploring the sentiment in Borsa Istanbul with deep learning
Sentiment analysis holds immense importance in finance and economics, addressing crucial issues such as principal–agent dynamics and information imbalances. The rise of natural language processing signifies a groundbreaking era in sentiment analysis, enabling the effective extraction of insights fro...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
|
| Series: | Borsa Istanbul Review |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214845023001618 |
| _version_ | 1827360950503604224 |
|---|---|
| author | Alev Atak |
| author_facet | Alev Atak |
| author_sort | Alev Atak |
| collection | DOAJ |
| description | Sentiment analysis holds immense importance in finance and economics, addressing crucial issues such as principal–agent dynamics and information imbalances. The rise of natural language processing signifies a groundbreaking era in sentiment analysis, enabling the effective extraction of insights from textual data. Our research investigates the impact of qualitative financial data on firm valuation, utilizing sentiment extracted from annual financial disclosures, focusing on companies listed on the Borsa Istanbul Stock Exchange from 1998 to 2022. Employing a pre-trained transformer model, we develop sentiment indices and integrate textual data using a system-generalized method of moments. Our study aims to uncover how sentiment expressed in financial disclosures aids in mitigating challenges related to asymmetric information. |
| first_indexed | 2024-03-08T06:55:54Z |
| format | Article |
| id | doaj.art-60f43988f02143a8a8c2e98919c59e1c |
| institution | Directory Open Access Journal |
| issn | 2214-8450 |
| language | English |
| last_indexed | 2024-03-08T06:55:54Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Borsa Istanbul Review |
| spelling | doaj.art-60f43988f02143a8a8c2e98919c59e1c2024-02-03T06:35:43ZengElsevierBorsa Istanbul Review2214-84502023-12-0123S84S95Exploring the sentiment in Borsa Istanbul with deep learningAlev Atak0Department of Economics, METU, Ankara, TürkiyeSentiment analysis holds immense importance in finance and economics, addressing crucial issues such as principal–agent dynamics and information imbalances. The rise of natural language processing signifies a groundbreaking era in sentiment analysis, enabling the effective extraction of insights from textual data. Our research investigates the impact of qualitative financial data on firm valuation, utilizing sentiment extracted from annual financial disclosures, focusing on companies listed on the Borsa Istanbul Stock Exchange from 1998 to 2022. Employing a pre-trained transformer model, we develop sentiment indices and integrate textual data using a system-generalized method of moments. Our study aims to uncover how sentiment expressed in financial disclosures aids in mitigating challenges related to asymmetric information.http://www.sciencedirect.com/science/article/pii/S2214845023001618Financial disclosureToneSentimentNLPFinBERTFinRoBERTa |
| spellingShingle | Alev Atak Exploring the sentiment in Borsa Istanbul with deep learning Borsa Istanbul Review Financial disclosure Tone Sentiment NLP FinBERT FinRoBERTa |
| title | Exploring the sentiment in Borsa Istanbul with deep learning |
| title_full | Exploring the sentiment in Borsa Istanbul with deep learning |
| title_fullStr | Exploring the sentiment in Borsa Istanbul with deep learning |
| title_full_unstemmed | Exploring the sentiment in Borsa Istanbul with deep learning |
| title_short | Exploring the sentiment in Borsa Istanbul with deep learning |
| title_sort | exploring the sentiment in borsa istanbul with deep learning |
| topic | Financial disclosure Tone Sentiment NLP FinBERT FinRoBERTa |
| url | http://www.sciencedirect.com/science/article/pii/S2214845023001618 |
| work_keys_str_mv | AT alevatak exploringthesentimentinborsaistanbulwithdeeplearning |