Case study: Climate scenario analysis for real estate — a city or utility pilot and the results so far

Singapore's Building and Construction Authority (BCA) and the Monetary Authority of Singapore (MAS) jointly launched the National Real Estate Climate Scenario Analysis Programme in late 2023, requiring all commercial real estate assets above S$50 million in valuation to undergo standardized physical and transition risk assessments by 2026. As of Q1 2026, over 2,800 properties representing S$340 billion in aggregate value have completed scenario analyses under the framework, revealing that 23% of Singapore's commercial building stock faces material value-at-risk under a 2.6-degree warming pathway by 2050 (BCA, 2026). The programme has become the most comprehensive city-level application of climate scenario analysis to real estate in the Asia-Pacific region and a reference model for regulators across the continent.

Why It Matters

Real estate accounts for approximately 40% of global CO2 emissions and represents $326 trillion in total asset value worldwide, making it the largest single asset class exposed to both physical climate risks and decarbonization transition pressures. The UNEP Finance Initiative's 2024 assessment found that $25 trillion in global real estate value is materially exposed to at least one physical climate hazard under a 2-degree scenario, with coastal flooding, extreme heat, and water stress representing the three most significant risk vectors (UNEP FI, 2024).

In Asia-Pacific specifically, the exposure is acute. The Asian Development Bank estimates that climate-related physical risks could reduce commercial real estate values across the region by 8 to 15% by 2050 under moderate warming pathways, with coastal megacities such as Singapore, Bangkok, Jakarta, and Mumbai facing the highest concentrations of at-risk assets. The region's rapid urbanization, with an estimated $40 trillion in new construction planned between 2025 and 2040, means that decisions made today about building location, design, and financing will lock in climate risk exposure for decades.

The regulatory impetus has intensified. The International Sustainability Standards Board (ISSB) IFRS S2 standard, effective for reporting periods beginning January 2025, requires climate scenario analysis disclosures for entities with significant real estate exposures. Singapore's Green Finance Action Plan, updated in 2024, mandates that financial institutions conducting real estate lending and investment incorporate physical and transition risk scenario analysis into their credit and valuation processes. For real estate executives and institutional investors, the question is no longer whether climate scenario analysis will affect property valuations but how quickly the repricing will occur and which assets are most exposed.

Key Concepts

Understanding Singapore's pilot requires familiarity with several technical frameworks that underpin climate scenario analysis for real estate.

Physical risk assessment quantifies the probability and financial impact of climate hazards on individual properties. In the Singapore programme, physical risks are modeled across six categories: sea-level rise and coastal flooding, extreme rainfall and pluvial flooding, heat stress affecting building energy demand and outdoor worker productivity, wind damage from intensifying tropical cyclones, water supply disruption, and subsidence from changing groundwater levels. Each property receives a Physical Climate Risk Score on a 1-to-100 scale calibrated against the NGFS (Network for Greening the Financial System) climate scenarios.

Transition risk assessment evaluates financial exposure to decarbonization policies, carbon pricing, building performance standards, and shifting tenant and investor preferences. Singapore's framework models transition risks under three pathways: orderly transition (aligned with the national net-zero 2050 target), disorderly transition (delayed action followed by abrupt policy intervention), and hot house world (limited policy action with escalating physical risks). Transition risk factors include mandatory retrofit requirements under the BCA Green Mark scheme, rising carbon tax rates (currently S$25 per ton, scheduled to reach S$50 to $80 per ton by 2030), and tenant demand shifts toward green-certified office space.

Value-at-risk modeling translates physical and transition risk scores into financial metrics: expected capital expenditure for adaptation and compliance, projected changes in net operating income due to increased operating costs or reduced rental premiums, and the combined effect on discounted property valuations over 10-, 20-, and 30-year horizons.

Stranding risk indicators flag properties that may become economically unviable to operate or retrofit under specific climate pathways, typically buildings with high energy intensity, limited adaptation options, or location-based physical risks that cannot be cost-effectively mitigated.

What's Working

The Singapore programme has generated measurable outcomes across several dimensions that other jurisdictions and market participants are evaluating for replication.

Standardization Reduced Analytical Costs by 60%

Before the programme, individual property owners commissioning bespoke climate risk assessments faced costs of S$80,000 to S$250,000 per asset. The BCA's standardized methodology, built on shared climate hazard datasets from the Centre for Climate Research Singapore (CCRS) and a common analytical framework developed with consulting partners JLL, CBRE, and Arup, reduced the average assessment cost to S$30,000 to S$95,000 per property. The shared hazard data layer, which provides granular projections of sea-level rise, rainfall intensity, temperature, and wind speed at 100-meter resolution across the entire island, eliminated duplicative climate modeling by individual asset owners.

Capital Allocation Is Responding to Risk Signals

CapitaLand Investment, Asia's largest diversified real estate investment manager with S$134 billion in assets under management, disclosed that its 2025 capital allocation incorporated climate scenario outputs for the first time. Properties scoring in the highest physical risk quintile received mandatory adaptation investment budgets averaging S$18 per square meter annually, while acquisitions in high-risk zones now require pre-investment climate due diligence adding 3 to 4 weeks to the underwriting timeline. GIC, Singapore's sovereign wealth fund and one of the world's largest real estate investors, reported that climate scenario analysis results directly influenced the repricing of 12 assets in its portfolio during 2025, with aggregate write-downs of approximately S$420 million reflecting updated flood risk and carbon compliance cost projections (GIC, 2025).

Insurance Markets Are Using the Data

The General Insurance Association of Singapore partnered with the BCA to incorporate the programme's physical risk scores into commercial property insurance underwriting. Swiss Re and Munich Re, the two largest reinsurers operating in the Singapore market, have begun offering premium discounts of 5 to 12% for buildings that demonstrate proactive adaptation measures in response to high physical risk scores. Conversely, properties in the highest flood risk category that have not implemented adaptation measures face premium increases of 15 to 25%, creating a financial feedback loop that reinforces scenario-informed investment (Swiss Re, 2025).

Retrofit Investment Has Accelerated

The programme's identification of 640 commercial buildings with stranding risk under orderly transition pathways triggered a wave of green retrofit activity. BCA reported a 45% increase in Green Mark Platinum certification applications in 2025 compared to 2024, with building owners citing climate scenario results as the primary driver. The Singapore Green Building Masterplan's S$63 million Green Mark Incentive Scheme for Existing Buildings saw full subscription for the first time in 2025, with demand exceeding available funding by a factor of 2.3.

What's Not Working

Despite strong institutional support, the programme faces persistent challenges that limit its impact and scalability.

Residential Sector Coverage Remains Limited

The programme's S$50 million valuation threshold effectively excludes the vast majority of residential properties, leaving homeowners and smaller landlords without standardized climate risk information. Approximately 80% of Singapore's population lives in public housing managed by the Housing Development Board (HDB), and HDB has not yet committed to applying the scenario framework across its portfolio of over 1 million flats. Extending the methodology to residential properties raises both cost and communication challenges: the per-unit assessment cost would need to fall below S$500 to be viable at scale, and presenting probabilistic climate risk information to individual homeowners requires a fundamentally different communication approach than institutional investor reporting.

Data Granularity Gaps Create Blind Spots

While Singapore's climate hazard data layer is among the most advanced globally, gaps remain in subsurface data. Groundwater monitoring is limited to approximately 180 observation wells across the island, providing insufficient resolution to model subsidence and foundation risk for individual buildings in reclaimed land areas. Marina Bay and Tuas, two major commercial and industrial zones built substantially on reclaimed land, lack the geotechnical monitoring density needed to assess differential settlement risk under changing hydrological conditions. The programme acknowledges this gap but has not yet secured the estimated S$40 million investment needed for a comprehensive subsurface monitoring network.

Transition Risk Modeling Depends on Uncertain Policy Trajectories

The orderly transition pathway assumes that Singapore's carbon tax will reach S$50 to $80 per ton by 2030 and that building energy performance standards will tighten progressively. However, the government's 2025 budget review introduced flexibility provisions that could delay carbon tax increases if regional economic conditions deteriorate, and several building performance standard updates have been postponed by 12 to 18 months due to industry lobbying. This policy uncertainty weakens the credibility of transition risk projections, as property owners discount scenarios they perceive as politically contingent rather than locked in.

Cross-Border Comparability Is Limited

Institutional investors with pan-Asian portfolios face the challenge of reconciling Singapore's scenario framework with different (or absent) approaches in other markets. Malaysia's Securities Commission has signaled interest in adopting a compatible methodology, but Indonesia, Thailand, and the Philippines have not yet published comparable frameworks. The lack of regional harmonization means that portfolio-level climate risk aggregation still requires significant manual reconciliation, limiting the utility of Singapore's data for investors making relative value comparisons across markets.

Key Players

Established Companies

• CapitaLand Investment: Asia's largest diversified REIT manager, the first major landlord to integrate BCA scenario outputs into capital allocation and acquisition due diligence processes.
• GIC Private Limited: Singapore's sovereign wealth fund, one of the world's top five real estate investors by AUM, disclosed portfolio-level climate risk repricing based on programme data.
• JLL Asia Pacific: Co-developed the standardized assessment methodology and conducted scenario analyses for over 800 properties in the programme's first phase.
• Swiss Re: Integrated physical risk scores from the programme into commercial property reinsurance pricing for the Singapore market.
• Keppel Ltd: Applied scenario analysis results to its S$50 billion fund management portfolio, accelerating green retrofit timelines for seven properties identified as high transition risk.

Startups

• Intensel: Hong Kong-based climate analytics firm that provides AI-driven physical risk assessment at individual building level, selected as a technology partner for the programme's flood and heat stress modeling.
• Cervest: Provides asset-level climate intelligence combining satellite data with scenario modeling, used by several programme participants for portfolio-wide screening.
• Grexel: Finnish climate data platform adapted for tropical real estate markets, supplying carbon accounting and transition pathway modeling tools to Singapore-based REITs.

Investors and Funders

• Monetary Authority of Singapore (MAS): Co-sponsor of the programme and regulator mandating climate scenario disclosures for financial institutions with real estate exposures.
• Building and Construction Authority (BCA): Lead implementing agency, providing the regulatory framework, shared hazard data, and Green Mark integration.
• Asian Development Bank: Provided technical assistance funding and is evaluating the Singapore model for adaptation to other ASEAN member states.

KPI Summary

KPI	Baseline (2023)	Current (2026)	Target (2028)
Properties assessed	0	2,800	5,500
Aggregate value covered (S$ billion)	0	340	520
Average assessment cost per asset (S$)	165,000	62,500	40,000
Buildings with stranding risk identified	0	640	900
Green Mark Platinum applications (annual)	112	163	250
Insurance premium differentiation range	0%	5-25%	10-35%
Residential properties covered	0	0	50,000

Action Checklist

• Conduct a portfolio-level screening of all real estate assets using the NGFS climate scenarios to identify properties with material physical or transition risk exposure
• Engage qualified climate analytics providers to perform asset-level physical risk assessments covering flood, heat stress, wind, and water supply disruption under at least two warming pathways
• Model transition risk exposure by estimating compliance costs under current and anticipated building performance standards, carbon pricing trajectories, and tenant preference shifts
• Integrate climate scenario outputs into investment committee reporting, acquisition due diligence checklists, and annual asset valuation reviews
• Prioritize adaptation capital expenditure for properties flagged with high physical risk scores, focusing on flood resilience, cooling efficiency, and building envelope upgrades
• Engage insurance brokers to negotiate premium structures that reflect proactive climate adaptation measures and demonstrate risk reduction
• Monitor regulatory developments across key Asia-Pacific markets to anticipate mandatory disclosure requirements and adjust reporting timelines accordingly

FAQ

Q: How does climate scenario analysis differ from traditional property risk assessment? A: Traditional property risk assessment focuses on historical hazard data, current building condition, and local market fundamentals. Climate scenario analysis adds forward-looking probabilistic modeling of how physical hazards and policy environments will evolve over 10- to 50-year horizons under different warming and decarbonization pathways. The Singapore programme uses NGFS scenarios calibrated by the Centre for Climate Research Singapore, providing projections that account for non-linear climate dynamics such as accelerating sea-level rise and intensifying rainfall extremes that historical data alone cannot capture. This forward-looking dimension is critical because real estate assets have 30- to 60-year economic lives, meaning that decisions made today will face climate conditions significantly different from those observed historically.

Q: What does the Singapore programme cost property owners, and what do they receive? A: The standardized assessment costs between S$30,000 and S$95,000 per property depending on asset size and complexity, compared to S$80,000 to S$250,000 for bespoke pre-programme assessments. Property owners receive a Physical Climate Risk Score (1 to 100), a Transition Risk Score (1 to 100), a combined Value-at-Risk estimate expressed as a percentage of current valuation over 10-, 20-, and 30-year horizons, specific adaptation recommendations with estimated costs and risk reduction benefits, and a stranding risk flag if the property is at risk of becoming economically unviable under any modeled pathway. The outputs are designed to integrate directly into ISSB-aligned climate disclosures, reducing the additional reporting burden.

Q: Can this model be applied to other cities in Asia-Pacific? A: The analytical framework is transferable, but several Singapore-specific advantages are difficult to replicate quickly. Singapore's small geographic area (733 square kilometers) allowed the creation of a high-resolution climate hazard data layer at relatively modest cost. Larger jurisdictions such as Jakarta, Bangkok, or Mumbai would require substantially greater investment in climate modeling infrastructure. Singapore's centralized regulatory environment enabled rapid mandatory adoption, while federated or decentralized governance structures in countries like India or Indonesia would require multi-level regulatory coordination. The Asian Development Bank is currently funding feasibility studies for adapted versions of the framework in Manila and Ho Chi Minh City, with pilot launches expected in 2027. Malaysia's Securities Commission has indicated plans to adopt a compatible methodology for Kuala Lumpur's commercial district by 2028.

Q: How are property valuations actually changing based on scenario results? A: The repricing is occurring through multiple channels. GIC's disclosed S$420 million in write-downs across 12 assets represents the most visible institutional response. More broadly, JLL reports that commercial properties with high physical risk scores in Singapore traded at a 6 to 9% discount relative to comparable low-risk assets in the second half of 2025, compared to no measurable risk premium differential in 2023. On the transition risk side, buildings that have achieved Green Mark Platinum certification command rental premiums of 8 to 14% over non-certified buildings, up from 4 to 7% in 2022, suggesting that the market is increasingly pricing in future compliance costs. The net effect is a widening spread between climate-resilient and climate-exposed properties, a trend that most analysts expect to accelerate as regulatory requirements tighten and insurance costs diverge further.

Sources

• Building and Construction Authority. (2026). National Real Estate Climate Scenario Analysis Programme: Year Two Progress Report. Singapore: BCA.
• UNEP Finance Initiative. (2024). Climate Risk and Real Estate Investment: Global Exposure Assessment. Geneva: UNEP FI.
• GIC Private Limited. (2025). Report on the Management of the Government's Portfolio: Climate Risk Integration. Singapore: GIC.
• Swiss Re. (2025). Asia-Pacific Property Insurance Market: Climate Risk Pricing Trends. Zurich: Swiss Re Institute.
• JLL Asia Pacific. (2025). Climate Risk and Real Estate Valuation: Singapore Market Analysis. Singapore: JLL Research.
• Monetary Authority of Singapore. (2024). Guidelines on Environmental Risk Management for Asset Managers: Updated Framework. Singapore: MAS.
• Asian Development Bank. (2025). Climate-Resilient Real Estate in Southeast Asia: Technical Assistance Programme Design. Manila: ADB.
• Centre for Climate Research Singapore. (2025). National Climate Hazard Dataset: Technical Documentation and Validation Report. Singapore: CCRS.