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NLP-Based Quantification of ESG in Sustainability Reports and Firm-Specific Risk: Evidence from Borsa İstanbul

Yunus Emre Akdoğan & Bayram AYDIN

Business and Economics Research Journal2025https://doi.org/10.20409/berj.2025.475article
ABDC C
Weight
0.50

What the paper says

This study examines the effect of the sentiment used in ESG (environmental, social, and governance) communication in corporate sustainability reports on firmspecific (idiosyncratic) risks in the Turkish stock market.The analysis focuses on 28 firms listed on the Borsa Istanbul Sustainability Index (XUSRD) between 2014 and 2023, based on a panel of 280 firm-year observations drawn from their publicly available 10-year sustainability reports.First, ESG disclosures in corporate sustainability reports were classified using natural language processing (NLP) techniques and transfer learning.Sentiment analysis was performed for each ESG dimension, and sentiment indices were created based on the analysis results.The data obtained were then analyzed using panel ARDL and panel causality test to test the effect of ESG sentiment on firm risks.The findings reveal that among the ESG dimensions, environmental and governance components play a particularly important role in reducing firm-specific idiosyncratic risk.Also, the results demonstrate the usability of AI-supported analyses in investment strategies and the economic benefit potential of ESG-focused corporate communication.In this context, ESG sentiment is critical not only from a social responsibility perspective but also in terms of risk management and investment decisions.

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https://doi.org/https://doi.org/10.20409/berj.2025.475

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@article{yunus2025,
  title        = {{NLP-Based Quantification of ESG in Sustainability Reports and Firm-Specific Risk: Evidence from Borsa İstanbul}},
  author       = {Yunus Emre Akdoğan & Bayram AYDIN},
  journal      = {Business and Economics Research Journal},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.20409/berj.2025.475},
}

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NLP-Based Quantification of ESG in Sustainability Reports and Firm-Specific Risk: Evidence from Borsa İstanbul

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.