Cherbonnier, FrédéricIdRefORCIDORCID: https://orcid.org/0000-0002-9728-0824, Gollier, ChristianIdRefORCIDORCID: https://orcid.org/0000-0001-7277-5532 and Pommeret, AudeIdRef (2025) Stress discounting - article. Journal of Risk and Uncertainty, Vol.71 (n°3). pp. 219-243.

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Identification Number : 10.1007/s11166-025-09469-3

Abstract

Standard evaluations of public policies involve discounting the flow of expected net benefits at a unique discount rate. Consequently, they systematically ignore the insurance benefits of policies that hedge the aggregate risk, and the social cost of projects that raise the aggregate risk. Normative asset pricing theory recommends adjusting the discount rate to the project’s risk, but few countries have attempted to implement this complex solution. We explore the equivalent “stochastic discount factor” approach based on the expected value of its state-contingent NPV, using the relevant state-contingent Ramsey discount rate. Under our “stress discounting” approach, projects are evaluated under two polar risk-free economic scenarios, one business-as-usual scenario, and one low-probability catastrophic scenario. Inspired by the recent asset pricing literature on macro catastrophes, we show that this ap-proach adequately values assets’ risk premia under a minimal, intuitive, and op-erationally simple departure from the standard risk-free approach with a unique discount rate. We carry out benchmarks to check the accuracy of this approach, then apply it to value a nuclear waste disposal.

Item Type: Article
Language: English
Date: 12 November 2025
Refereed: Yes
Uncontrolled Keywords: Project valuation, stochastic discount factor, rare disasters, cost-benefit analysis, social discounting
JEL Classification: G12 - Asset Pricing; Trading volume; Bond Interest Rates
H43 - Project Evaluation; Social Discount Rate
Q54 - Climate; Natural Disasters
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Site: UT1
Date Deposited: 04 Feb 2026 13:35
Last Modified: 04 Feb 2026 13:36
OAI Identifier: oai:tse-fr.eu:131204
URI: https://publications.ut-capitole.fr/id/eprint/51743
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