Content area

Abstract

This paper uses a tractable stochastic integrated‐assessment model to analyze the influence of climate change on asset returns across time and maturity. Quasi‐analytical, or recursive, formulas allow to price various long‐dated assets, including fixed‐income products, derivatives, and equities. We find that climate risks will increasingly drive down long‐term risk‐free yields, reducing them by about 30 basis points by the end of the century. This decline reflects weaker growth and increased uncertainty, leading to a rise in precautionary savings. We illustrate the concept of climate risk premiums by examining model‐implied prices of long‐term assets vulnerable to sea level rise or temperatures. Climate risk premiums are particularly sensitive to damage assumptions.

Details

1009240
Title
An analytical framework to price long‐dated climate‐exposed assets
Author
Chikhani, Pauline 1 ; Renne, Jean‐Paul 1 

 Faculty of Business and Economics (HEC), University of Lausanne, 
Publication title
Volume
16
Issue
4
Pages
1093-1146
Number of pages
55
Publication year
2025
Publication date
Nov 1, 2025
Section
Original Articles
Publisher
John Wiley & Sons, Inc.
Place of publication
New York
Country of publication
United States
ISSN
17597323
e-ISSN
17597331
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-11-27
Milestone dates
2025-08-06 (manuscriptRevised); 2025-11-27 (publishedOnlineFinalForm); 2024-02-23 (manuscriptReceived); 2025-08-11 (manuscriptAccepted)
Publication history
 
 
   First posting date
27 Nov 2025
ProQuest document ID
3276163082
Document URL
https://www.proquest.com/scholarly-journals/analytical-framework-price-long-dated-climate/docview/3276163082/se-2?accountid=208611
Copyright
Copyright John Wiley & Sons, Inc. 2025
Last updated
2025-11-28
Database
ProQuest One Academic