The carbon at risk measure for managing carbon removal risk and guiding portfolio construction

Abstract Carbon removal markets lack a standardized, quantitative measure of permanence risk. Inspired by value at risk in financial markets, we propose carbon at risk (CaR): a probabilistic measure of the shortfall between contracted removals and realized storage at a given confidence level and time horizon. We calibrate CaR in two proof-of-concept applications: forest carbon, where Monte Carlo simulations driven by satellite fire data yield a single-project 95% CaR of more than 70% over 200 years for California, and geological storage, where simulations using the Storage Security Calculator show that the 95% CaR ranges from 0.15% (well-regulated offshore) to 17% (poorly regulated onshore). Combining technologies in a portfolio can help manage tail risk cost-effectively. The minimum cost of meeting a permanence target depends on the magnitude and correlation structure of key risk factors. CaR provides a technology-agnostic basis for risk-calibrated buffer sizing, insurance pricing and reserve-fund design, over both policy- and climate-relevant horizons.

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Publication Details

Journal
Nature Climate Change
Published
2026-11-06
DOI
https://doi.org/10.1038/s41558-026-02785-9
Citations
1
Primary Topic
Climate Change Policy and Economics
Type
article
Field-Weighted Citation Impact
4.52

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The carbon at risk measure for managing carbon removal risk and guiding portfolio construction

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Nature Climate Change
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The carbon at risk measure for managing carbon removal risk and guiding portfolio construction

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article en
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Abstract

Abstract Carbon removal markets lack a standardized, quantitative measure of permanence risk. Inspired by value at risk in financial markets, we propose carbon at risk (CaR): a probabilistic measure of the shortfall between contracted removals and realized storage at a given confidence level and time horizon. We calibrate CaR in two proof-of-concept applications: forest carbon, where Monte Carlo simulations driven by satellite fire data yield a single-project 95% CaR of more than 70% over 200 years for California, and geological storage, where simulations using the Storage Security Calculator show that the 95% CaR ranges from 0.15% (well-regulated offshore) to 17% (poorly regulated onshore). Combining technologies in a portfolio can help manage tail risk cost-effectively. The minimum cost of meeting a permanence target depends on the magnitude and correlation structure of key risk factors. CaR provides a technology-agnostic basis for risk-calibrated buffer sizing, insurance pricing and reserve-fund design, over both policy- and climate-relevant horizons.

Nature Climate Change
University of Exeter (GB), London School of Economics and Political Science (GB)
Stiftelsen för Miljöstrategisk Forskning, London School of Economics and Political Science, UK Research and Innovation, Centre for Climate Change Economics and Policy, University of Leeds, Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Science, Economic and Social Research Council, Natural Environment Research Council
Climate action
Openalex Percentile: Top 4%
Climate Change Policy and Economics
4.52
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