Why Climate Is Now a Credit Variable
Indian credit underwriting has historically treated climate as a tail concern handled through catastrophe insurance on the collateral, not as a regular variable in expected credit loss models. The picture is shifting on three fronts simultaneously.
First, the RBI's 2024 framework on climate-related financial risks asks regulated lenders to integrate physical and transition climate risk into their risk-management frameworks, including credit underwriting and stress testing. Banks and large NBFCs are expected to disclose climate exposures and demonstrate active management.
Second, international rating agencies (S&P, Moody's, Fitch) have introduced climate adjustments to sovereign and corporate ratings. Indian corporates with material climate exposure (coal-linked utilities, energy-intensive manufacturing, climate-vulnerable agriculture) increasingly face borrowing-cost differentials that legacy underwriting models did not anticipate.
Third, loss experience is producing data that traditional credit models cannot explain. The Chennai floods of 2015 and 2023, the Kerala floods of 2018, and recurring cyclone clusters along the eastern coast have produced credit losses in mortgage, commercial real estate, and infrastructure portfolios that pre-climate models priced as effectively impossible.
Physical Risk and Where It Hits Credit
Physical climate risk affects credit through three channels.
Collateral impairment: real-estate and infrastructure collateral can be physically damaged or rendered uninsurable. Mumbai's monsoon-flooding patterns, the 2024 Bangalore flash floods, and increasing coastal-erosion risk in Mumbai, Chennai, and Visakhapatnam are producing localised collateral concerns. Lenders with concentrated exposure in flood-prone or cyclone-exposed micro-locations face elevated loss given default (LGD).
Borrower cash-flow disruption: a manufacturing borrower whose plant is exposed to flood risk, a hotel borrower in a coastal location, or a farmer in a rainfall-deficient district faces income volatility that pre-climate cash-flow models underestimate. The probability of default (PD) rises in proportion to the climate exposure.
Insurance availability: borrowers in repeatedly impacted locations may face insurance non-renewal or sharply higher premia. Where the loan covenant requires asset insurance, the lender is exposed to the insurance gap risk that follows. The Indian general insurance market has so far absorbed catastrophe-affected renewals at reasonable terms, but reinsurer pricing pressure has begun to flow through.
Well-architected climate-adjusted credit underwriting overlays physical-risk data on the existing credit assessment, adjusting PD, LGD, and exposure-at-default (EAD) by exposure category.
Transition Risk and Its Sectoral Concentration
Transition risk arises from policy, technology, and market shifts away from carbon-intensive activity. In the Indian context, the most affected sectors are:
- thermal power generation, particularly coal-linked utilities facing capacity-utilisation decline and policy-driven retirements
- carbon-intensive manufacturing (cement, steel, fertiliser) facing input-cost increases from carbon pricing and export-market carbon-border-adjustment mechanisms
- internal-combustion automotive facing rapid demand shift toward EVs, with both supply-chain and OEM-balance-sheet implications
- commercial real estate with high operational carbon intensity, facing climbing operating costs and weaker tenant demand
- fossil-fuel-dependent agriculture, particularly in regions where shifting precipitation patterns and rising input costs combine
Lenders and credit insurers with significant exposure in these sectors face transition risk in two forms: borrower-specific deterioration as the transition affects individual cash flows, and portfolio-level concentration where the lender's book is structurally tilted toward exposures whose long-run economics are weakening.
Data Sources for Indian Climate-Adjusted Underwriting
Climate-adjusted underwriting requires data Indian lenders have not historically maintained. Useful sources, with varying maturity:
- CWC and NRSC flood-risk maps for major basins, supplemented by IMD historical rainfall datasets
- NDMA hazard zonation maps for cyclone, earthquake, landslide, and drought exposure
- CMIE State of the Economy and RBI handbook data for district-level economic activity and credit exposure
- Catastrophe model outputs from licensed vendors (RMS, AIR, KCC, indigenous models) for return-period losses
- Sectoral transition-pathway datasets, often built in-house from CEA, NITI Aayog, and ICEA materials
- BRSR disclosures of large listed corporates, providing exposure data the lender can integrate
- Satellite-derived datasets on land use, water stress, and crop conditions, increasingly available through Indian providers (RMSI, Karya Climate, Agrosenz)
For lenders without internal capability, third-party climate-risk consultants and rating agencies are filling the analytical gap. Several Indian banks have engaged consortium projects with international development finance institutions (IFC, ADB, KfW) to access methodology and benchmark data.
Integration Into Underwriting Decisions
A working climate-adjusted credit underwriting integration usually proceeds in three stages.
Stage one: portfolio overlay. The lender maps existing exposures to physical and transition risk categories using readily available geographical and sectoral data. The result is a heatmap identifying segments that warrant deeper scrutiny. Most Indian lenders are at this stage.
Stage two: case-level adjustment. For new loans in identified high-risk categories, the underwriter incorporates a climate adjustment in the credit decision. The adjustment can take the form of:
- a PD uplift for borrowers in high-exposure sectors or locations
- an LGD adjustment for collateral in high-physical-risk locations
- insurance-covenant strengthening with specific catastrophe insurance requirements
- pricing differentiation that compensates the lender for the additional climate-adjusted expected loss
- structural mitigants such as additional security, reduced tenor, or covenant triggers tied to physical impact
Stage three: portfolio-level stress testing and disclosure. The lender runs scenario analysis against transition pathways and physical-risk projections, with results feeding into ICAAP, board reporting, and external disclosure under RBI requirements and BRSR.
Most Indian lenders are still building stage-two and stage-three capability. The data and analytical foundations are improving but unevenly across institutions.
Credit Insurance, Surety, and Climate
Credit insurance (covering trade receivables), surety bonds (covering contractual performance), and political-risk insurance all carry climate exposure that has been historically under-priced.
Trade credit insurance on receivables from climate-exposed buyers (agricultural cooperatives, weather-dependent manufacturers, coastal logistics operators) carries elevated default risk that the insurer increasingly prices. Indian trade credit insurance is dominated by ECGC and a small number of private specialists, who have begun differentiating premiums by climate exposure of the buyer book.
Surety bonds for infrastructure construction in climate-vulnerable locations (coastal highways, low-lying urban projects, hydropower) carry both construction-period weather risk and longer-term performance risk. The IRDAI's surety bond framework, 2022, opened the segment to insurers; climate adjustments are still maturing in pricing practice.
Political risk insurance in markets with significant climate-driven instability (Bangladesh, Sri Lanka, parts of Africa where Indian exporters are exposed) is being repriced as the climate-conflict link becomes clearer. Indian insurers writing these covers, often as fronting for international markets, are seeing premium and capacity adjustments.
Where This Goes in 18 Months
Two specific developments will shape Indian climate-adjusted credit underwriting over the next 18 months.
First, the RBI is expected to formalise the 2024 framework into specific expectations on lender stress testing, disclosure, and risk-management practices, drawing on the Basel Committee's principles for the management and supervision of climate-related financial risks. Lenders that have not advanced beyond stage one of the integration are likely to face accelerated supervisory pressure.
Second, the carbon-border-adjustment mechanism (CBAM) of the EU, becoming financially operative in 2026 for Indian steel, aluminium, cement, fertiliser, and hydrogen exporters, will produce concrete cash-flow effects that credit underwriters cannot ignore. Indian exporters in these sectors face an immediate margin question with credit implications; their lenders and credit insurers face a portfolio-concentration question.
Lenders and credit insurers that build climate-adjusted underwriting now will be positioned to grow market share in climate-resilient segments, while those that wait will face accelerated repricing of their existing books as regulatory and rating pressure compounds.
