Are Transition and Physical Climate Risks Priced? Evidence from Directional News-Based Measures

Climate Risk
LLM
Textual Analysis
ICAPM
Working Paper
Author
Affiliation

Clément Toussaint

Université Paris 1 Panthéon-Sorbonne, Centre d’Économie de la Sorbonne

Published

March 17, 2026

PDF Data SSRN

Abstract

I build directional climate risk indicators from over 100,000 news articles using a large language model. The measures distinguish transition from physical risk and, unlike existing indices, code whether news signals increasing or decreasing risk, as well as intensity and horizon. This directional coding is key for a coherent intertemporal interpretation: transition-risk innovations are priced in the cross section, carrying a significantly negative risk premium, while higher transition risk predicts lower aggregate market returns. This joint pricing–predictability pattern disappears when risk direction is ignored. Physical risk predicts aggregate returns but is not priced cross-sectionally, consistent with its localized nature.

Key Figure

Figure 5: Transition risk indicator from January 2014 to December 2024. Gray dots represent daily values; the black line shows the monthly average. Vertical lines indicate major climate-related events, colored by their expected effect on risk: red for risk-increasing events, blue for risk-decreasing events.

Figure 5: Transition risk indicator from January 2014 to December 2024. Gray dots represent daily values; the black line shows the monthly average. Vertical lines indicate major climate-related events, colored by their expected effect on risk: red for risk-increasing events, blue for risk-decreasing events.

Citation

@unpublished{toussaint2026climaterisk,
  title    = {Are Transition and Physical Climate Risks Priced? Evidence from Directional News-Based Measures},
  author   = {Toussaint, Clément},
  year     = {2026},
  note     = {SSRN Working Paper},
  url      = {https://ssrn.com/abstract=6431199}
}