Climate risk news and banking industry: a natural language processing approach

This study analyzes the evolution of climate-risk discourse in banking using 4,887 news articles (2008–2024) collected from ProQuest. We apply Natural Language Processing and add two novel layers: (i) an event-alignment analysis that links coverage dynamics to dated policy and supervisory milestones, and (ii) a discourse-network analysis connecting banks and regulators. We document a marked post-2020 shift, with ESG emerging as the dominant framing (7,860 mentions) alongside persistent geographic asymmetries (U.S.-led coverage) and uneven sectoral engagement (Risk Management highest salience; Fintech lowest). Sentiment skews positive (≈4,000 positive vs. ≈1,500 negative), and topic modeling identifies eight stable thematic clusters spanning operations, ratings, ESG assessment, disclosures, and market instruments. Event alignment shows media attention is typically anticipatory (median peak two months before an anchor), with COP26 producing a sustained level shift (+100% within a ±6-month window) and the Bank of England’s CBES results generating the largest single spike (210 articles), whereas some 2022 rule-making announcements (e.g., SEC climate-disclosure proposal) exhibit sharper but less durable attention. The discourse network centers on two regulatory hubs (the Federal Reserve and the ECB) with key banks (e.g., Citigroup, JPMorgan, UBS) bridging into supervisory narratives. Collectively, the findings show climate risk becoming embedded in core banking practice while revealing structural, regional, and functional asymmetries that matter for policy design and implementation. • Provides the first longitudinal NLP-based analysis of climate risk discourse in the banking sector • Reveals how climate risk integration in banking has evolved across regulatory, operational, and market dimensions • Identifies distinct thematic domains shaping climate risk narratives in banking over time • Shows that climate risk discourse is predominantly anticipatory around major policy and supervisory milestones • Maps the institutional structure of climate risk governance by linking banks and regulators within a discourse network

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Publication Details

Journal
Journal of Financial Stability
Published
2026-05-01
DOI
https://doi.org/10.1016/j.jfs.2026.101549
Primary Topic
Sustainable Finance and Green Bonds
Type
article
Field-Weighted Citation Impact
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article

Climate risk news and banking industry: a natural language processing approach

Babak Naysary, Ali Edisen, Amine Tarazi
Journal of Financial Stability
Sustainable Finance and Green Bonds
article

Climate risk news and banking industry: a natural language processing approach

Babak Naysary, Ali Edisen, Amine Tarazi
article en

Abstract

This study analyzes the evolution of climate-risk discourse in banking using 4,887 news articles (2008–2024) collected from ProQuest. We apply Natural Language Processing and add two novel layers: (i) an event-alignment analysis that links coverage dynamics to dated policy and supervisory milestones, and (ii) a discourse-network analysis connecting banks and regulators. We document a marked post-2020 shift, with ESG emerging as the dominant framing (7,860 mentions) alongside persistent geographic asymmetries (U.S.-led coverage) and uneven sectoral engagement (Risk Management highest salience; Fintech lowest). Sentiment skews positive (≈4,000 positive vs. ≈1,500 negative), and topic modeling identifies eight stable thematic clusters spanning operations, ratings, ESG assessment, disclosures, and market instruments. Event alignment shows media attention is typically anticipatory (median peak two months before an anchor), with COP26 producing a sustained level shift (+100% within a ±6-month window) and the Bank of England’s CBES results generating the largest single spike (210 articles), whereas some 2022 rule-making announcements (e.g., SEC climate-disclosure proposal) exhibit sharper but less durable attention. The discourse network centers on two regulatory hubs (the Federal Reserve and the ECB) with key banks (e.g., Citigroup, JPMorgan, UBS) bridging into supervisory narratives. Collectively, the findings show climate risk becoming embedded in core banking practice while revealing structural, regional, and functional asymmetries that matter for policy design and implementation. • Provides the first longitudinal NLP-based analysis of climate risk discourse in the banking sector • Reveals how climate risk integration in banking has evolved across regulatory, operational, and market dimensions • Identifies distinct thematic domains shaping climate risk narratives in banking over time • Shows that climate risk discourse is predominantly anticipatory around major policy and supervisory milestones • Maps the institutional structure of climate risk governance by linking banks and regulators within a discourse network

Journal of Financial Stability
Birmingham City University (GB), Institut Universitaire de France (FR), Université de Limoges (FR)
Climate action
Openalex Percentile: Top 4%
Sustainable Finance and Green Bonds
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