Climate-related shocks, including physical hazards (storms, heatwaves, and floods), transition shocks (policy, technology, and market re-pricing), legal and liability risks, and macro spillovers (food prices, monetary tightening, and emerging-market stress), are driving measurable financial outcomes. 

Insurers are scaling back coverage in high-risk locations, municipal borrowing costs are rising in exposed regions, and markets are beginning to price climate-driven impairments. As a result, portfolio managers who develop and execute investment strategies must go beyond qualitative ESG checklists and embed climate risk models to measure investment exposure.

Key Takeaways

• Climate risks are now a measurable financial risk, shaping portfolio construction, valuation, and risk management.
• Portfolio managers use climate models and scenario analysis to quantify exposure across stocks, bonds, and real assets.
• Measuring climate exposure helps investors identify hidden risks, strengthen portfolio resilience, and improve long-term returns.

Why Climate Risk Modeling Matters

It has been found that climate-related shocks, particularly temperature and precipitation anomalies, contribute to different types of volatility in various asset classes. Traditional stocks are more sensitive to temperature changes, ESG portfolios are more exposed to precipitation events, and real estate investment trusts (REITs) are relatively stable.

For portfolio managers, this means climate resilience is asset-specific and state-dependent. Ignoring these nuances can lead to underestimating tail risk and mispricing discount rates in valuation models.

How to Run a Climate Risk Assessment

Most investment firms base their climate analysis on scenarios developed by the Network for Greening the Financial System (NGFS), a group of around 100 central banks and financial supervisors. These scenarios range from an orderly transition to a low-carbon economy to a “hot house world,” where climate policies remain limited and physical damage continues to increase.

A typical climate risk assessment follows four steps:

1. Define the objective: Decide what you want to measure and over what time frame. For example, the goal could be to assess credit risk over the next five years or stress-test a portfolio through 2050.
2. Choose a climate scenario: Select one or more NGFS scenarios that best match the analysis, such as an orderly transition, a delayed transition, or a high-emissions future.
3. Estimate the financial impact: Translate the climate scenario into financial outcomes by evaluating how physical hazards or transition policies could affect company earnings, asset values, bond yields, or default risk.
4. Apply the findings: Use the results to adjust portfolio allocations, manage risk, identify investment opportunities, and communicate climate exposure to clients, regulators, or other stakeholders.

Understanding the Modeling Toolkit

Major asset managers have used multivariate firm-value models to evaluate the effects of extreme climate events on their expected and unexpected portfolio losses. These models indicate that expected losses increase over time, with pronounced differences in exposure observed across sectoral indices.

Key components of modern climate risk modeling include:

• Physical risk metrics: Realized volatility measures of temperature and precipitation to capture episodic climate events.
• Transition risk scenarios: Policy and technology shifts that affect issuer fundamentals, especially in carbon-intensive sectors.
• Predictive regression frameworks: Models accounting for persistence, endogeneity, and conditional heteroscedasticity, evaluated using out-of-sample tests such as RMSE and Clark–West.
• Climate-adjusted discount rates: New theorems linking climate risk diversification to portfolio optimization under uncertainty.

Common Climate Risk Modelling Tools

Tool/Platform	Primary Users	Key Attributes	Best Suited For
Bloomberg MARS Climate	Asset managers, institutional investors, and risk teams	Combines climate risk with traditional market, credit, and liquidity risk analytics; supports scenario analysis within existing portfolio workflows	Firms that want to evaluate climate risk alongside conventional portfolio risk without switching between separate platforms
MSCI Climate Solutions	Asset managers, pension funds, ETF providers, as well as ESG and sustainability teams	Climate scenario analysis, portfolio alignment metrics, financed emissions, temperature alignment, regulatory reporting, company-level climate data	Investors focused on ESG integration, client reporting, portfolio alignment, and regulatory disclosures
Moody’s Climate Solutions	Banks, insurers, credit analysts, and institutional investors	Converts physical and transition climate risks into financial loss estimates; integrates climate factors into credit and enterprise risk analysis	Organizations seeking to quantify the financial impact of climate risks on assets, loans, and investment portfolios
S&P Global Sustainable1	Asset managers, investment researchers, and financial institutions	Climate data, emissions analytics, physical and transition risk modeling, company and sovereign climate intelligence	Investors combining climate analytics with broader financial research and decision-making
Verisk	Property investors, insurers, and infrastructure owners	High-resolution catastrophe modeling, geospatial hazard mapping, property-level exposure analysis for floods, wildfires, hurricanes, and other natural hazards	Portfolios with significant exposure to physical assets and climate-related catastrophe risks
Jupiter Intelligence	Infrastructure investors, utilities, governments, and real estate managers	Predictive climate analytics, asset-level forecasting, localized projections for heat, flooding, sea-level rise, and extreme weather	Long-term infrastructure and real estate investments where physical climate resilience is a major concern
ICE Climate Risk Platform	Fixed-income portfolio managers, municipal bond analysts, credit investors	Interactive mapping of issuer exposure to hurricanes, floods, and wildfires; expanding coverage to corporate and mortgage-backed securities	Investors assessing climate-related risks in municipal, corporate, and structured fixed-income markets

What This Means for Investors

In regions where insurers are reducing coverage due to rising wildfire or flood risks, municipal bond analysts are monitoring potential pressure on local tax revenues and credit quality. Climate-adjusted credit models can identify these risks before they lead to rating changes.

Additionally, companies and real estate investments located in areas with high physical climate risk could eventually trade at lower valuations as markets begin to price those risks more accurately. Some analysts refer to this potential repricing as a “climate discount.”

To minimize risk, investors should:

• Use forward-looking climate risk data instead of relying only on historical emissions reports.
• Test portfolios under multiple climate scenarios rather than a single forecast.
• Monitor holdings with significant exposure to regions facing rising insurance or physical climate risks.
• Treat climate risk as part of investment analysis and security selection.

Bottom Line

Climate risk is becoming a measurable financial variable rather than a qualitative sustainability concern. As better data, scenario analysis, and specialized modeling tools become more widely available, portfolio managers can quantify exposure with greater precision and incorporate it into everyday investment decisions. 

As better data and modeling tools become available, investors who quantify climate exposure alongside conventional financial risks will be better equipped to protect portfolios, uncover mispriced opportunities, and make more informed long-term investment decisions. 

Benzinga Disclaimer: This article is from an unpaid external contributor. It does not represent Benzinga’s reporting and has not been edited for content or accuracy.