A measure of climate change in financial news and its impact on the stock market

As a fast-evolving form of sustainable investing, Environmental, Social, and Governance (ESG) strategies have attracted more and more investments. One of the central questions in this context is whether and to what extent climate change is ‘priced in’ by the market. In this paper, we give contributions that help answer this question and offer implications for market participants and policymakers. Firstly, we extract the climate dimension of financial news by introducing a measure to quantify it. Secondly, we perform a causality analysis of the linear and non-linear relationship between this quantified information and market data on over 3,000 stocks. Our empirical results show a causal relationship between the market and the climate information extracted from our representation learning methods. We also notice that the strength of this relationship decreases over time, indicating that the climate dimension contained in the news articles is quickly reflected in the market but its effects are gradually decreasing.

Authors

Institutions

Publication Details

Journal
Journal of Digital Economy
Published
2024-12-01
DOI
https://doi.org/10.1016/j.jdec.2025.03.002
Citations
1
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A measure of climate change in financial news and its impact on the stock market

Carmine Ventre, Yue Xiao, Buhong Liu, Haochen Li
1 citations
Journal of Digital Economy
Market Dynamics and Volatility
1.13
article

A measure of climate change in financial news and its impact on the stock market

Carmine Ventre, Yue Xiao, Buhong Liu, Haochen Li
article en
1 citations

Abstract

As a fast-evolving form of sustainable investing, Environmental, Social, and Governance (ESG) strategies have attracted more and more investments. One of the central questions in this context is whether and to what extent climate change is ‘priced in’ by the market. In this paper, we give contributions that help answer this question and offer implications for market participants and policymakers. Firstly, we extract the climate dimension of financial news by introducing a measure to quantify it. Secondly, we perform a causality analysis of the linear and non-linear relationship between this quantified information and market data on over 3,000 stocks. Our empirical results show a causal relationship between the market and the climate information extracted from our representation learning methods. We also notice that the strength of this relationship decreases over time, indicating that the climate dimension contained in the news articles is quickly reflected in the market but its effects are gradually decreasing.

Journal of Digital EconomyVol. 3
University of London (GB), King's College London (GB), SOAS University of London (GB)
Climate action
Openalex Percentile: Top 10%
Market Dynamics and Volatility
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A measure of climate change in financial news and its impact on the stock market — Carmine Ventre, Yue Xiao, et al. · Journal of Digital Economy (2024) | TGRS Research Map | TGRS