Assessing Physical Climate Risks: Methodologies for Long-Term Asset Valuation

Investors must understand how physical climate risks impact long-term asset valuations by employing quantitative methodologies. This article explores asset-level models, HEV frameworks, and scenario analysis to integrate these assessments into investment decisions.

Nolan Begay

October 1, 2026 · 6 min read

As the planet's climate shifts, investors face a growing imperative to understand how physical climate risks—such as extreme weather events and sea-level rise—will impact the long-term valuation of their assets. The challenge lies in translating complex environmental science into quantifiable financial risk. Effective methodologies move beyond broad assumptions, demanding granular data and structured frameworks to integrate these assessments into investment decision-making and portfolio risk management.

This article explores key quantitative methodologies for assessing physical climate risks on long-term asset valuations, including asset-level valuation models, hazard-exposure-vulnerability (HEV) frameworks, and the application of climate scenario analysis. It also provides a practical framework for integrating these assessments into investment processes, helping investors identify appropriate tools and data sources for their portfolios.

Understanding Physical Climate Risks in Investment

Physical climate risks represent direct threats to assets and operations, stemming from both acute events and chronic changes. Acute risks encompass sudden, severe weather events like cyclones, floods, droughts, wildfires, and extreme heat. Chronic risks, on the other hand, involve gradual, long-term shifts in climate patterns, such as rising temperatures and sea levels, which can steadily erode asset values and challenge business sustainability, as noted by the Network for Greening the Financial System (NGFS).

For investors, identifying, assessing, and managing these risks is crucial for building climate resilience within their portfolios. The United Nations Environment Programme Finance Initiative (UNEP FI) highlights the need for a systematic approach to integrate these considerations into the investment process. This systematic integration is pivotal for achieving resilience and equitable development, ensuring that investment strategies account for the evolving physical landscape.

The financial implications of these risks can be substantial, affecting asset valuations, creditworthiness, and overall portfolio performance. Without a robust framework for assessment, investors risk underestimating potential losses and missing opportunities for adaptation finance. This underscores the importance of moving beyond qualitative assessments to quantitative methodologies that can translate physical impacts into concrete financial metrics.

Hazard-Exposure-Vulnerability (HEV) Frameworks

The Hazard-Exposure-Vulnerability (HEV) framework provides a structured method for financial institutions to assess and manage physical climate risks. This framework, outlined in a playbook developed by CDRI and supported by The Rockefeller Foundation, guides financial institutions, particularly those in low- and middle-income countries (LMICs), through a structured approach involving awareness, assessment, and action. The HEV framework provides a structured way to categorize and evaluate risk components.

The framework systematically analyzes three key components: climate hazards, the exposure of assets to these hazards, and the vulnerability of those assets to potential impacts. Climate hazards include events like extreme weather, sea-level rise, wildfires, droughts, floods, storms, and extreme heat. Exposure refers to the presence of people, livelihoods, ecosystems, or assets in places that could be adversely affected. Vulnerability describes the characteristics and circumstances of a community, system, or asset that make it susceptible to the damaging effects of a hazard.

This structured approach necessitates specific data for each of its components, such as detailed information on climate hazards, precise asset locations, and characteristics that determine an asset's susceptibility to damage. The playbook promotes integrating climate risk into governance, strategy, and credit processes, while also highlighting opportunities in green finance. Tools like the Global Infrastructure Risk Model and Resilience Index (GIRI) can support localized risk analysis within this framework, addressing challenges like data gaps and lack of standardization.

Comparative Overview of Physical Climate Risk Assessment Methodologies

This table allows investors to quickly compare different physical climate risk assessment methodologies, understand their core approaches, and identify the specific data requirements for each, aiding in the selection of appropriate tools and data sources for their portfolio risk management.

Methodology Name	Core Approach/Framework	Key Data Requirements	Primary Application/Focus
Asset-Level Valuation Models	Combines acute and chronic climate impacts, including tail risks, to adjust asset valuations, often using models like a climate dividend discount model for equity. This approach focuses on translating physical shocks into financial impacts at a granular level.	Granular asset data, financial information, climate impact data (acute and chronic).	Primarily used for quantifying financial risk for investors by adjusting equity valuations based on climate-related physical shocks. The focus is on direct financial impact on specific assets.
Hazard-Exposure-Vulnerability (HEV) Frameworks	Assesses physical climate risk by analyzing hazards, the exposure of assets to these hazards, and their vulnerability to potential impacts. This framework provides a structured way to categorize and evaluate risk components.	Data on climate hazards (e.g., extreme weather events, sea-level rise), asset locations, and characteristics that determine vulnerability. The framework necessitates specific data for each of its components.	Used by financial institutions to guide physical climate risk assessment, particularly in low- and middle-income countries, and for green finance initiatives.
Climate Scenario Analysis	Utilizes forward-looking climate projections to model potential future physical impacts under different climate pathways. This approach is inherently forward-looking and explores a range of possible futures.	Forward-looking climate projections, granular portfolio data, and historical data to validate models and identify past impact patterns. Both predictive and historical data are crucial for robust scenario analysis.	Used for integrating long-term risk considerations into planning processes and exploring a range of possible future climate impacts.

Methodology Name

Core Approach/Framework

Key Data Requirements

Primary Application/Focus

Asset-Level Valuation Models

Combines acute and chronic climate impacts, including tail risks, to adjust asset valuations, often using models like a climate dividend discount model for equity. This approach focuses on translating physical shocks into financial impacts at a granular level.

Granular asset data, financial information, climate impact data (acute and chronic).

Primarily used for quantifying financial risk for investors by adjusting equity valuations based on climate-related physical shocks. The focus is on direct financial impact on specific assets.

Hazard-Exposure-Vulnerability (HEV) Frameworks

Assesses physical climate risk by analyzing hazards, the exposure of assets to these hazards, and their vulnerability to potential impacts. This framework provides a structured way to categorize and evaluate risk components.

Data on climate hazards (e.g., extreme weather events, sea-level rise), asset locations, and characteristics that determine vulnerability. The framework necessitates specific data for each of its components.

Used by financial institutions to guide physical climate risk assessment, particularly in low- and middle-income countries, and for green finance initiatives.

Climate Scenario Analysis

Utilizes forward-looking climate projections to model potential future physical impacts under different climate pathways. This approach is inherently forward-looking and explores a range of possible futures.

Forward-looking climate projections, granular portfolio data, and historical data to validate models and identify past impact patterns. Both predictive and historical data are crucial for robust scenario analysis.

Used for integrating long-term risk considerations into planning processes and exploring a range of possible future climate impacts.

Assessing Physical Climate Risks: Methodologies for Long-Term Asset Valuation

Understanding Physical Climate Risks in Investment

Core Methodologies for Physical Climate Risk Assessment

Asset-Level Valuation Models

Hazard-Exposure-Vulnerability (HEV) Frameworks

The Role of Climate Scenario Analysis

Comparative Overview of Physical Climate Risk Assessment Methodologies

Integrating Physical Climate Risk into Investment Decisions

Actionable Steps for Integrating Physical Climate Risk

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